The type of banking that includes the organization of large and complex financial transactions such as mergers or initial public offering (IPO) underwriting is known as Investment Banking. Investment Banks raise money for companies in a variety of ways such as underwriting the issuance of new securities for a corporation, municipality, or other institution and also managing a corporation’s IPO. Investment Banks also play advisory roles in mergers, acquisitions, and reorganizations. The top 8 investment banking free courses will guide you if you want to make a career as an investment banker.
What is Investment Banking?
Investment banking is centered around raising money for companies, governments, and other bodies with activities including underwriting new debt and equity securities for all types of corporations.
The Concept of Investment Banking
Investment banks will for instance underwrite new debt and equity securities for all types of corporations aiding in the sale of securities alongside helping with mergers, acquisitions, and reorganizations. Investment banks provide guidance to issuers regarding the offering and placement of stocks and also broker trades for institutions and private investors.
Many large investment banking systems are affiliates or subsidiaries of larger banking institutions. Some have also become household names with the largest being Goldman Sachs, Morgan Stanley, JPMorgan Chase, Bank of America Merrill Lynch, and Deutsche Bank.
Broadly speaking, investment banks assist in large and complicated financial transactions. If an investment banker’s client is considering an acquisition, merger, or sale they may provide advice on how much a company is worth and how to structure a best deal.
Investment banks will hire investment bankers who can help corporations, governments, and organizations plan and manage large projects which will help their clients save time and money by identifying risks associated with the project before the client moves forward on signing a deal.
Theoretically speaking, investment bankers are experts at measuring the current investing scenario so that businesses and institutions can turn to investment banks for advice on how to plan their development so as to get the best returns. Investment bankers can customize the client’s recommendations to the present state of economic affairs.
Top 8 Investment Banking Free Courses For A Successful Career
1. edX
This program is an initiative by edX and is offered by The New York Institute of Finance. These investment banking free courses will help you by giving a boost to your financial skills and offer you ways of having a successful career in Investment Banking and Finance.
List of Modules that you will learn:
Module 01: Investment Banking
Module 02: Buy-side Institutions
Module 03: Alternative Investments
Module 04: Related Finance Opportunities
Module 05: Career Prep Strategies
Module 06: Overcoming Generational Stereotyping
Module 07: Your Authentic Story
Module 08: Your Personal Brand
Module 09: Cover Letters/Emails
Module 10: Elevator Pitch
Module 11: Impact Interviewing
Why choose this course?
This course will help you gain knowledge of the financial sector so that you can speak confidently when starting or advancing your career in Investment Banking and Finance.
In addition to industry jargon, you will also learn about the hiring processes and the strategies to tell your story in the most compelling way to attract recruiters.
Taught by instructors with decades of experience on Wall Street, this course will guide students from a wide range of backgrounds, including business, economics, engineering, sciences, and mathematics with the required career skills for a future in Investment Banking and Finance.
Free Preview is also available and you can access Module 1 for free. For full course access you have to upgrade to a verified certificate.
Benefits of the Course:-
Engage with industry professionals like experienced practitioners.
Expand your knowledge of the various financial institutions that exist.
Learn the industry jargon.
Find your professional fit.
Elevate your EQ.
Other Important Details:-
Duration: 2 Weeks/ 3 to 4 Hours per Week (Self-paced, Progress at your own speed)
Course Fee: Free (Optional Upgrade Available)
Institution: NYIF
Subject: Business & Management
Level: Introductory
Prerequisites: None
Language: English
Video Transcript: English
Associated program: Professional Certificate in Introduction to Investment Banking
This program is offered by Coursera in collaboration with the University of Geneva. In the investment banking free courses, you will learn how to make smart investment decisions in a global world and also about the various aspects of a wealth-generating investment portfolio.
List of Modules that you will learn:
Understanding Financial Markets
Meeting Investors’ Goals
Portfolio and Risk Management
Securing Investment Returns in the Long Run
Planning your Client’s Wealth keeping in view a 5-Year Horizon
Why choose this course?
You will be earning a Certificate upon completion which you can share on your social profiles.
100% online courses – Start instantly and learn on your own schedule.
Flexible Schedules with which you can set and maintain flexible deadlines.
Beginner Level – No prior experience required.
The course will take approximately 5 months to complete with a suggested pace of 2 hours/week.
English – Subtitles: English, Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, German, Russian, Spanish.
By enrolling in the investment banking free courses, you will gain a better understanding of valuation and investments along with income statements, balance sheets, and stocks. The publisher of this course is Khan Academy.
List of Modules that you will learn in the investment banking free courses:
Introduction to Valuation and Investing with Learning Outcomes
Price and Market Capitalization
Introduction to the Income Statement
Earnings and EPS
Introduction to the Price-to-Earnings Ratio
P-E Discussion
ROA Discussion 1
ROA Discussion 2
Depreciation
Amortization
P-E Conundrum
Enterprise Value
EBITDA
Introduction to Valuation and Investing with Lesson Summary
Introduction to Valuation and Investing with Course Assessment
Why choose this course?
In this free course, you will learn to analyze balance sheets and income statements
Outlining depreciation and amortization
Learn to identify good stocks from bad stocks on a basic level
Listing the components of a balance sheet
Define Return on Assets along with Return on Equity
Learn to use metrics such as EBIT and EBITDA to assess the risks involved in an investment
Describing the roles of sell-side and buy-side analysts
Discussions on how Enterprise Value can be a better indicator than P/E at determining the value of a business
Benefits of the Course:-
This Free Online Course Includes: 1.5 to 3 Hours of Learning
CPD Accreditation
Final Assessment
Developed by experts in their fields by the course publisher Khan Academy
Other Important Details:-
Certify your skills with a CPD-accredited Alison Diploma/Certificate.
Stand out from the crowd by adding your Alison Certification to your resumé which will help you to stay ahead of the competition.
Advance in your career by sharing your Alison Certification with potential employers to show off your skills and capabilities.
By joining the Finance Foundations course by LinkedIn Learning, you will be getting a comprehensive overview of Finance from reading a Balance Sheet to understanding Derivatives and Securities. This course is mentored by Brigham Young University business professors Jim and Kay Stice.
List of Modules that you will learn in the investment banking free courses :
Introduction to the Essence of Finance
What Is Finance?
Finance inside of companies
Finance outside of companies
Chapter Quiz – 4 questions
Understanding Financial Statements
Introducing financial statements
Overview of financial statements
The balance sheet
The income statement
The statement of cash flows
Common ratios: Debt and current ratios
Common ratios of Return on sales, asset turnover, and ROE
Common ratios: Price-earnings ratio
Forecasting financial statements
Chapter Quiz – 14 questions
Short-Term Financial Management
The operating cycle
Cash management
Managing receivables and inventory
Obtaining short-term financing
Understanding internal controls
Chapter Quiz – 10 questions
Risk and Return: Introduction
What is a risk?
Why we don’t like risk
Reducing risk through diversification
Beta: The concept
Beta: Examples
Risk-free rate
Equity risk premium
Capital asset pricing model (CAPM)
Chapter Quiz – 10 questions
Obtaining Long Term Financing
Introducing long-term financing
Does capital structure matter?
Factors influencing optimal capital structure
Cost of capital of all debt or all equity financing
Cost of capital: Split debt-equity financing
The weighted average cost of capital
Chapter Quiz – 8 questions
Understanding Securities Markets
Introducing securities markets
Learn the differences between a stock and a bond
Stock markets
Bond markets
Publicly traded shares: What impacts the share price?
Initial public offering (IPO): Microsoft
Can you pick stocks in the stock market?
Chapter Quiz – 5 questions
Financial Institutions
Introducing financial institutions
Traditional banks
Investment banks
Investment funds: Index funds
Investment funds like Managed funds, private equity funds, and hedge funds
Insurance companies
Chapter Quiz – 5 questions
Capital Budgeting
Introducing capital budgeting
Capital budgeting overview
The time value of money
Example: Buying a car in Hong Kong
Chapter Quiz – 4 questions
Personal Financial Planning
Introducing personal financial planning
The secret to financial security
The importance of personal budgeting
Simple savings and investment plans
Chapter Quiz – 3 questions
Conclusion
Reviewing corporate finance
Why choose this course?
1 project file
9 chapter quizzes
Access on tablet and phone
Certificate of completion
Continuing Education Units available
Benefits of the Course:-
Beginner Level Course
The duration of the course is 2 Hours and 40 Minutes.
You can do the course for free along with other courses in your first free trial month.
Explore here the other in-demand courses for career development:
The course is available on YouTube and the lecturer is Professor Robert Shiller.
List of Modules that you will learn in the investment banking free courses :
Chapter 1. Key Elements of Investment Banking
Chapter 2. Principles and Culture of Investment Banking
Chapter 3. Regulation of Investment Banking
Chapter 4. Shadow Banking and the Repo Market
Chapter 5. ECON 252 to Wall Street
Chapter 6. Steps to Take to Work on Wall Street Today
Chapter 7. From Wall Street to Silicon Valley with Experiences at Facebook
Chapter 8. Fougner: Question and Answer Session
Why choose this course?
Professor Robert Shiller explains the concept of investment banking by comparing it to consulting, commercial banking, and also securities trading.
Professor Robert Shiller will also talk about some of the principles that John Whitehead, the former chairman of Goldman Sachs, has formulated.
The principles are the answer to the power that investment bankers have, and also their impact on society.
The regulations of the Government on these powerful investment banks have been a debatable issue for many years, especially so now since they played a significant role in the world financial crisis of the 2000s.
Benefits of the Course:-
The duration of the course is 1 Hour and 11 Minutes.
The course is free of cost.
The complete course materials are available at the Yale Online website: online.yale.edu
The medium of instruction is in English.
Looking for financial modeling courses? Here are the best ones for you:
Benefits you will get from the investment banking free courses:-
You will be learning from 3 times New York Times Best Selling Author and Hedge Fund Manager Phil Town.
FREE personalized online course.
List of Modules that you will learn:
Chapter 1 – How to start investing
Chapter 2 – What types of investments will give you maximum returns
Chapter 3 – How to invest for small funds like $20 to $5,000
Chapter 4 – How to invest money to grow your wealth
Chapter 5 – What to Invest in Stocks and What to Look for
Chapter 6 – How to evaluate a company by using financial metrics and investing calculators
Chapter 7 – How to buy stock and Where to purchase them
Chapter 8 – Investing Books that every investor should read
Why choose this course?
You can learn the foundation of investing in 5 easy-to-follow lessons
2 hours of interactive guides and videos
Simple exercises and quizzes to test your knowledge
You will get access to tools used by investing experts for faster and simpler research
7. Skill Share
Benefits of the Course that you will be getting from the investment banking free courses:-
You can get started for Free with the free trial
Get unlimited access to every class
Taught by industry leaders & working professionals
List of Modules that you will learn in the investment banking free courses:
Class Overview
Valuation Overview
Discounted Cash Flow Overview
Discounted Cash Flow in Detail
Discounted Cash Flow Common Questions
Leveraged Buyout Overview
LBO Detailed Steps
LBO and Circular Reference
LBO Common Questions
Paper LBO Framework
Paper LBO Practice Example
Relative Valuation Overview
How to Pick Comps and Precedents
Example of Multiples
Comparable Companies How does it work?
Precedent Transactions How does it work?
Relative Valuation Common Questions
Advantages and Disadvantages of Each Valuation
Ranking the Different Methodologies
Other Valuation Methodologies
Project
Why choose this course?
This course will give you strong basic concepts to answer all the basic valuation questions including the following examples:
Walk me through a DCF
What are the 5 ways for a private equity firm to boost its return in an LBO?
Our comps set gives us a 12x median for EV/EBITDA, and the company we are valuing has $100mm in EBITDA so what would be the implied valuation?
8. Wall Street Mojo
Wall Street Mojo provides beginner-friendly content and is one of the best destinations for finance, accounting, and investment-related information.
Benefits of the Course:-
You will get free access to the course by registering with your email id.
Beginner-friendly course with an introduction to Investment Banking, Ratio Analysis, Financial Modeling, and Valuation.
List of Modules that you will learn in the investment banking free courses:
Part 1 – Introduction
Part 2 – Investment Banking vs. Commercial Banking
What is an investment bank?
What is a commercial bank?
Investment banking vs. commercial banking.
Part 3 – Equity Research
What is equity research?
How does equity research make money?
What is a typical Equity Research job profile?
Clients of the equity research department
Part 4 – Asset Management Company
What is the Asset Management Company or AMC?
How does an asset management company work?
Part 5 – Buy Side vs. Sell Side
In this part 5 video tutorial on Buy-Side vs. Sell Side the following are discussed: –
What is the sell side?
What is the buy side?
Key differences between sell-side and buy-side
Part 6 – Sales and Trading
In this part 6 video tutorial on Sales and Trading, the following are discussed: –
What are sales and trading?
Sales function
Trading function
Part 7 – Raising Capital
How do companies raise capital?
Role of investment bankers in raising capital.
What is an Initial Public Offer
(IPO) and Follow-on Public Offering or FPO?
What are private placements?
Part 8 – Underwriters
In this 8th part on Underwriters, the following are discussed:-
What is Underwriting
Role of Investment Bankers in Underwriting IPOs
Part 9 – Market Making
In this part 9 on market-making by investment banks, the following are discussed: –
Market making
Role of investment bankers in market-making activities
Part 10 – Mergers and Acquisitions
In this part 10 video tutorial on Mergers and Acquisitions, the following is discussed –
What are Mergers and Acquisitions or M&A?
How do investment bankers help in M&As?
Due diligence for M&A.
Investment Banking PitchBook
Part 11 – Restructuring and Reorganization
In this part 11 video tutorial on Restructuring and Reorganization, the discussions are on the following topics:-
What is restructuring?
What is reorganization?
Investment Banker’s Role in Restructuring and Reorganization
Part 12 – Roles, Positions, and Hierarchy
This part 12 video on Investment Banking Roles, positions, and responsibilities discusses the following:
Analyst
Associate
Vice President
Managing Director
Part 13 – Front Office vs. Back Office vs. Middle Office
In this part 13, the following are discussed –
What is a front office?
What is a back office?
What is a Middle office?
Front office vs. Middle Office vs. Back Office
Part 14 – Conclusion
FAQs
❖ How to start a career in Investment Banking with investment banking free courses?
There needs to be more than just doing investment banking free courses and getting certified to start a career in Investment Banking. Doing Internships will help you get ahead in your career if you are just starting out. Enrolling in an Analyst Course will help you to further succeed in your career as an investment banker.
❖ Is Investment Banking a high-paying job?
The average salary of an Investment Banker is around 12 to 15 Lakhs per annum according to a LinkedIn survey.
❖ What are the eligibility criteria to become an Investment Banker?
The eligibility criteria to become an Investment Banker are as follows-
A master’s degree in financial mathematics or a degree from a law college is desirable.
The grades obtained by a candidate in their master’s or bachelor’s degree are also taken into account.
The candidate must have also received at least 55% aggregate marks in the qualifying examination.
Conclusion
So after going through all the details about investment banking free courses a question that may arise in your mind is whether investment banking is worth it or not. Though the field has its own complexities, at the same time one can build a career and be a successful Investment Banker. The most important thing required is a passion for finance and the ability to work hard learn from experience and improve with time. Additionally, the investment bank jobs and salaries are on par with the industry and as a result, the one joining would be emotionally and financially satisfied with this career.
Investment banking is a part of banking operations that helps companies and individuals to raise capital, conduct market research, and provide financial consultancy services to them. They fulfill various purposes of companies like proprietary trading, merger & acquisition, restructuring of the company to make it efficient and profitable, and the issue of IPO, etc. They have to act like middle-man for large financial transactions and facilitate these transactions. This article is a complete guide to the best investment banking courses in Bangalore.
The function of Investment Banks can broadly be divided into two: To buy and to sell. The buy includes investment advice and the sell includes sales of securities and tradeable assets. Often an individual is hired to give financial pieces of advice, who is an expert and has a deep knowledge of investment. That person is known as an investment banker.
An investment bank acts as a bridge between large enterprises and investors. The duties of investment bankers are- Risk analysis, strategic advice on financial matters, trend analysis, etc. Investment banking might be a good career choice for you if:
You want to learn about the company’s financial decision-making, how large transactions are being done, and about the financial market.
You thrive in a fast-paced environment with long hours.
You are interested in financial modeling etc.
As the economy is growing investment banks also need to evolve enough to serve the companies and government. So, there is a lot of scope in this field in the future. Well-trained, skilled, and ambitious individuals are in demand in investment banking.
Nowadays it is an attractive career choice for many students. It is a challenging career also as you have to crunch numbers but, if you are good then will be rewarded handsomely.
Apart from raising capital, you have to help your clients with mergers & acquisitions, assure financial security, and improve the overall financial portfolio of the company. Thus, investment banking is a good career option with a high growth trajectory.
Job in this field is prestigious and has a high potential for earnings. The career of an investment banker generally follows a standard path, only the name of the position may differ from company to company.
The hierarchy of investment bankers starts with Analysts, Investment Banker Associates, Vice President, Executive Director, and Managing Director.
Why Investment Banking courses in Bangalore?
There is a consistent rise in the Investment Banking sector. The emergence of a new class of assets and the innovation of digital investment banks are some recent trends in Investment Banks. There is a considerable rise in job opportunities in the Investment Banking Sector in Bangalore.
The salary of an investment banker varies from 50k to 70k depending on experience. Hence if a candidate pursues Investment Banking Courses in Bangalore, he/she may get a job in the same city.
Only good educational qualifications are not sufficient for this job. A person should be well-versed with analytical skills and a good understanding of the market and investment is also required. Here’s a glimpse of different types of jobs:
Banker: Handles bank’s clients. They are not investment experts but keep a tab on investment portfolios and suggest the best investment options to the clients.
Mergers & Acquisitions Advisor: These people are excellent in financial modeling and all decisions are based on it. Every organization needs an advisor during a merger or acquisition.
Underwriting Manager: Their most important role is to raise capital. Concepts of debt & equity should be clear to work as Underwriting Manager. They act as a bridge between clients and trades, determining the best pathway for both.
Investment Banking Analysts: These professionals analyze all information related to investment and suggest the best investment deal. They also research and highlight stocks, bonds, and other securities.
Private Equity Associates: These are solely responsible for procuring the equity of securities. They help their clients to find out right equity to buy and sell based on profitability. Their compensation is unmatched.
Venture Capital Analyst: Venture Capital Professional is an emerging part of the investment industry. In venture capital, funds are raised for emerging startups. Some startups may give 10x return while some of them do tend to fail. Their task is to guide profitable investments.
We hope that the above-given detail on Investment banking Jobs will help you to find the right career path.
There are several factors that play a crucial role in deciding the salary of an investment banker such as experience, skills, company, and location. INR 9.61 LPA is the average salary of an Investment Banker.
The initial salary of an Investment Banker ranges between INR 2.5 LPA – 5 LPA, according to Glassdoor. But after 5 to 9 years of experience, a relevant degree, and updated skills a candidate can earn up to INR 20.50 LPA.
How To Become an Investment Banker?
It will take around 4-6 years to become an Investment Banker. Here are the steps given to become an Investment Banker:
Clear glass 12th board exams: Candidate must pass 10+2 exam with a minimum 50% or equivalent CGPA from a recognized board. Studying accountancy, mathematics, business, economics, and computer science may be beneficial.
Graduation in Relevant Field: Bachelor of Commerce (B. Com), B.A. Economics, BBA Finance, and Bachelor of Arts (B.A.) in finance are some favorite choices to become Investment Bankers.
Obtain a Master’s degree: A 2-year Master of Business Administration (MBA) in financial management is sought as a master’s degree. A Master of Science (MS) in Finance can also be done. The National Stock Exchange (NSE) Academy offers postgraduate programs in banks and financial planning, investment banking and capital markets, and business analytics, that last six to nine months.
Get a Certification: A Chartered Financial Analyst (CFA) professional certificate will be helpful in career growth as an Investment Banker. This program can be done after completing Graduation.
Pursue an internship: Internship opportunities can be found through campus placement, employment sites, and Job consultancies. Candidate may get a job offer if he/she performs well in the internship. During the internship, the candidate will get financial training, improved communication skills, etc.
There are certain skill sets required along with education to become a successful Investment banker. Being hard-working, disciplined, and dedicated to work, communication, and negotiation skills are very important to perform their job. The major skills required are:
Numerical and Analytical skills: Bankers need to analyze data, and do financial modeling to predict the possibility of any decision. They need to make sure that the information given to them is accurate.
Communication Skills: Professional communication skills are required to convey your ideas and decisions to your clients. It will help in making good relations with clients.
Market Analysis: To make the right decision it is very important to be familiar with the current market trend so that investors’ money can be invested properly. Market analysis should be the primary goal of finance experts.
Networking: An Investment Banker needs to make good relations with clients to avail future opportunities. It is also crucial to make professional connections and links. Networking will increase the client base of their organization and also boost the confidence of employees.
Adaptability and Cooperation: One should be open to learning and ready to grasp new knowledge. He/she should be open to suggestions and feedback and willing to make changes if necessary.
Apart from these, there should be transparency in their work, Time management should be there and the ability to work with a team are some skills which are necessary to work in any organization.
Dig in to find the other rewarding courses for career upliftment:
There are many Institutes providing Investment banking courses in Bangalore some of them are listed below-
1. IIM SKILLS
The top-most institute in the list of Investment Banking Courses in Bangalore is IIM SKILLS. The Institute is offering an online Master Investment banking certification course of 3 months duration.
The program is designed by subject experts and is in sync with Industry demand. The Candidate will enjoy additional support to build customized resumes as they offer a 1 Month guaranteed internship which is designed to sharpen the student’s skills.
During the internship, the students will be assigned different projects to work on. The best part is they are guided through their mistakes so they can improve and flourish in that.
The course is accessible to anyone as it is an online training program that is perfect for even a fresher or professional. Vast areas of investment banking are covered in-depth with industry-oriented assignments to make you job-ready.
There are multiple benefits to joining IIM SKILLS. Along with excellent training delivery and internship opportunities with hands-on projects, the students are given lifetime support.
After becoming their student, you can reach them at any given time to ask any of your queries. The entire team at IIM SKILLS is dedicated to the empowerment of their students. So, don’t think twice about joining IIM SKILLS for your career growth.
Investment Banking Courses in Bangalore Modules
Module 1 (4-6 Hours)
MS PowerPoint
Module-2 (8 Hours)
MS Excel
Module 3 (4-5 Hours)
Fundamentals of Financial System and Market
Module 4 (2-3 Hours)
Derivatives Market
Module-5 (3-4 Hours)
Technicals of Investment Banking
Module-6 (6-8 Hours)
Different Marketing Collaterals
Module-7 (8 Hours)
Technicals of Financial Modeling
Module-8 (4 Hours)
Business Valuation
Salient Features:
Recognized by MSME Govt of India.
One month guaranteed Internship
100% job support
Round-the-clock online support from team members
Lifetime free access to all the resources and recordings
One of the best online Investment Banking courses in Bangalore Offers a PG Program in Investment Banking and Financial Modelling. Graduates with 0-3 years of work experience are eligible for admission.
The duration of the course is 6 months. The course is designed by industry experts which fills the gap between theoretical concepts and on-the-job application of concepts.
Salient Features:
Industry-recognized certification program
100% Placement Guarantee
Taught by the domain expert
Weekend class for working professionals
Practical case studies
Apart from this, the institute will also provide recorded lectures, detailed study material, soft skills training, and CV building to their students.
Next on the list of Investment Banking courses in Bangalore is Certified Investment Banking Operations Professional (CIBOP), an industry-approved program that is best for candidates having under three years of experience.
This is a 150-hour program that will transform you into an expert Investment Banker. You will learn the trade life cycle, fundamentals of financial markets, and risk management.
Salient Features:
Industry recognized certification
Job guarantee
Extensive career support
Job specific skills
Live training modules
Experiential learning
The Institute is also providing many other courses in Management, Analytics, Marketing, etc.
Address: Data Analytics, Fintech & Investment Banking Training Institute. Imarticus Learning, 421, 2nd & 3rd Floor, opposite Koramangala Indoor Stadium, 6th Block, Koramangala, Bengaluru, Karnataka, 560095.
Ph.: 9953981060
4. Proschool (An IMS Initiative):
Its MG Road Centre is one of the best training centers providing Investment Banking courses in Bangalore. IMS Proschool’s course is a 6-month program in Investment Banking.
The candidate will get two upskilling options to pursue first one is NISM Securities Operations & Risk Management Certification and the second one is AICTE Approved PG Certification, both of which are notable credentials in the finance sector.
The course’s main emphasis is on Financial Modelling. The course offered by them is a perfect blend of theory and practice which will lead to a successful career in investment banking.
The Next Institute in the list of Investment Banking courses in Bangalore is HICM which is India’s leading Institute that provides training for Stock market, Investment Banking, Intraday trading, fund accounting, Financial Analyst, Technical & Fundamental analysis, Robot Trading, Portfolio Manager, Future and Options training, Banking, Mutual Fund, Wealth Management, and Business Analyst training.
Salient Features:
You will get- HICM certification, NISM certification, and Company Internship certification.
IntelliPaat (leading online training provider) in partnership with IIT Guwahati is providing advanced certification in Investment Banking Operations. Individuals with bachelor’s degrees can apply for this course.
This program is designed by top industry and academic experts. With the help of this course, you will be able to crack a good position in Investment Banking.
Salient Features:
Five months of live sessions by Industry Professionals.
Job assistance
One-to-one mock interview
Group projects and discussions for interactive learning
Certification from EICT, IIT Guwahati
This program will help you to master skills like Trade Life Cycle, Stock Borrow Lending, Asset Management, and Risk Management via real-time case studies.
Website: www.intellipaat.com
Ph.: +917022374614
7. FINXL
Next on our list of Investment Banking courses in Bangalore is FINXL. The program at FINXL is designed in such a way that candidates from other fields like Account receivables, taxation, back-office operations, accounting, etc. can change their domain.
Candidates who want to join this program without prior exposure can pursue this course.
Salient Features:
Certified course with 100% Job Assistance
4 months internship
Interview preparation by Industry experts
Build 5 reports from scratch of your chosen listed companies
FINXL certification Investment Banking courses in Bangalore are 10% theoretical and 90% practical. Candidates do valuation of companies with real-time company filings and the latest available data. Learners will get hands-on experience in the statement of operations, Merger & Acquisition, Balance sheet, etc.
Ph.:(+91) 9158882688
8. Mentorme Careers
Mentorme is next on the list of best Investment Banking Courses in Bangalore. The institute provides an online certification program designed for those who are targeting their career in the finance industry of India.
Assured interviews and job guarantee on completion of the course. The CIBO course aligns your skills to meet the operations roles required. Pre-requisites to pursue this course are knowledge of basic Mathematics, interest in Finance, and good reading and writing skills in English.
This course is especially recommended for MBA Finance graduates, B.com graduates, and CA inter and Engineer graduates willing to shift to a banking career.
Salient Features:
Placement-focused training with industry professionals in a live virtual environment.
100% job-guaranteed interview
Personal mentorship
NSE certification
Lifetime validity
CIBO (Certificate in Investment Banking) is among the highest-rated courses to start your career in the financial sector. Mentor Me provides unlimited batch access but pays only once.
Ph.: 8459738033 /7821018605
9. ABBS School of Management
India will become an investment banking operation hub in the future. There is a lot of scope in the finance sector. ABBS School of Management is next on the list of Investment Banking Courses in Bangalore. The institute is offering an Investment Banking Operations course.
Candidates who want to build their career in this field should opt for this program. Their admission criteria include a 21-24 years age limit, graduating with a minimum of 50% marks, and having good communication skills.
Salient Features:
100% job guarantee.
Placement in 1st 6 month
CISI (Charter Institute for Securities and Investment) certification.
Loan facility
Faculty-Investment Banker
It is a job guarantee program and the candidate will be placed in hardcore operations. After completion of CISI certification minimum, of 5 interviews per student will be arranged during placement.
Address: Off Magadi Road, 3, Acharya College Main Rd, Shushruti Nagar, Lingadeeranahalli, Bengaluru, Karnataka 560091.
Ph.: 080 2324 5515/16/17
Website: www.abbssm.edu.in
1o. DY Patil University
The university is offering an online BBA in Investment Banking. Banking is a field that is never going to fail in the future. This banking course is aimed at smart and quick-witted people who want to have a lucrative career in the banking field.
This course aims to prepare students for their very bright future, ensuring their personal and professional growth. Post BBA you will get entry-level jobs in many companies.
Salient Features:
Online reading material for each subject.
Digital Library
Faculty Webinar for direct contact between teacher and students.
Experiential learning
This course will demonstrate an understanding of the banking industry and will develop professional behavior and professional communication skills.
Website: www.dypatiledu.com
11. Charter Institute for Securities and Investment (CISI):
It is a professional body for banking professionals. CISI course is designed for professionals who are in their early or mid-career and looking for transition or to accelerate their career in the banking field.
The Institute has formed strategic alliances with local educational institutions and local bodies to help in capacity building for the financial sector in India.
Salient Features:
Globally portable
Specialist knowledge
Extensive career support
Live training by industry expert faculty
Top-tier placement partners
India-focused study material
Address: Chartered Institute for Securities & Investment
WeWork-Third Floor, Chromium Jogeshwari-Vikhroli Link Rd, Andheri East, Mumbai Maharashtra,400076, India.
Ph.: +91 7738011576, 91 99201 85493
12. Udemy
It is Last on the list of best Investment Banking Courses in Bangalore. Udemy is an online platform for learning and teaching. This platform provides a complete investment banking course after completing which you will take your career to the next level.
The candidate will learn many things like building financial models, explaining the mechanism of IOP and bond offering, different ways of restructuring the company and asset management, etc.
Salient Features:
13.5 hours of on-demand video
7 articles
228 downloadable resources
Access on mobile & TV
Certification of completion
The platform also provides many other finance courses like financial analyst courses, Financial Analyst Training, Investing Courses, etc. which will be very beneficial for learners in the future.
An MBA in Investment banking can also be done which is a master-level degree and will be very helpful in career growth. Candidates can pursue an MBA from IGNOU via distance learning from any city. Jain University is also providing MBA in Investment Banking and Equity Research via online mode.
The above-given list of Institutes providing Investment banking courses in Bangalore will be helpful for candidates.
Students can choose any one of the above-given institutes according to their needs subject to the fulfillment of eligibility criteria. Before taking admission to any of the courses candidate should do proper research, and consider review and rating.
FAQs- Investment Banking Courses in Bangalore
Q.) What is an Investment Bank?
A financial institution that helps individuals, corporations, and governments in raising capital by underwriting or acting as the client’s agent in the issuance of securities. These banks also assist in mergers & acquisitions of companies and may also provide advisory services in market making and trading of various securities. The main services of an investment bank are:
Corporate Finance
M&A
Equity Research
Sales & Trading
Asset Management.
The source of income of these banks is commissions and fee charges on services provided and other advice given to their clients.
2. What is a bulge bracket bank?
Bulge bracket banks are investment banks that are the world’s largest and most profitable multi-national full-service banks. These banks cover almost all industries and all types of investment banking services. There is no official list of bulge bracket banks, but the banks given below are considered bulge brackets:
P. Morgan
Goldman Sachs
Morgan Stanley
Bank of America Merrill Lynch
Barclays
Citigroup
Credit Suisse
Deutsche Bank
UBS
3. Is Investment Banking a good career?
Yes, because Investment banking is the 3rd largest sector in the Banking industry. It is expected that the global investment banking market will reach $138 billion by 2015 with a growth rate of 5% CAGR. Ambitious and enthusiastic people are well suited for this job.
There are many opportunities in this field which are discussed below
Lucrative/High Income
Variety of roles
Work with high-profile transactions
Flexibility
Lots of opportunities for growth
High demand for this profession
A career in this field is bright and promising so it is the right time to grab the opportunity and achieve your goals.
4. What are other courses available to pursue Investment Banking?
The courses to pursue investment banking are
BA in Finance,
MBA in Finance,
B. Com
BBA Finance and Investment,
MBA in Investment Banking.
5. What are the duties of an investment banker?
There are a variety of job duties that an investment banker needs to perform. The main job duties of an investment banker are capital raising, private placement of capital, management, mergers & acquisitions, investment planning, corporate restructuring, debt equity advisory service, etc.
6. What are examples of Investment Banks?
The top 5 investment banks are:
JPMorgan Chase
Goldman Sachs
Morgan Stanley
Credit Suisse
Citigroup
The above is the list of best investment banks and getting a job in them requires extensive investment banking training and experience.
7. Why should you do Investment Banking?
There is a lot of scope to grow and this profession draws the attention of professionals due to its very handsome salary, high perks & benefits, great earnings by commissions, early professional and personal growth, etc.
Data analytics is one of the most competitive and high-paying jobs in the technical industry. Please read this article – Data Analytics IIM SKILLS vs. Ivy Professional School Data Analytics Course to get a better understanding of courses and institutions.
Data analytics skills are known as observational skills in simple definition, in high demand as more companies aim to improve operations and drive results by using data to inform decision-making. Gain crucial data science competencies by taking a data business analytics online course and receiving a certificate of completion from any reputable institute.
As businesses generate more data in the digital age, the demand to analyze and interpret this quantitative information grows. Professionals with data-analytical abilities are invaluable because they can derive relevant insights from organized and unstructured data acquired by businesses. To succeed in this field, you must first master the principles of data analysis, such as how data is gathered, saved, and retrieved, how to interface with databases using Structured Query Language (SQL), and how to visualize data using applications such as Microsoft Excel or Tableau.
The primary advantage of data analytics is to use the data capacity in analytical models to appropriate business choices. A variety of businesses demands analytical skills as it is required in financial transactions, operation deals, promotion, and human resource management by company executives. Managers with data science credentials can influence change and success in the corporate world by harnessing actionable insights through analytics and conveying findings to stakeholders via visualization tools such as Tableau. As traditional business positions become more complicated and flexible, there is an increasing demand for people who can analyze data as well as convey results to drive corporate plans.
The usage of data and information technology (IT) expands helps and business and technological methods. Individuals in this sector, known as business systems analysts, can effectively bridge the gap between IT and leadership teams. The critical role in improving an organization’s function, and profitability by implementing more efficient authorizing change.
Learn how to harness the power of technology by taking a short online course in data analytics or business analytics. Gain up-to-date skills in data science and play a significant role in making data-driven decisions for your organization, whether you are an experienced data analyst or joining the profession for the first time.
How Do Data Analytics Help Types of Businesses?
Data analytics assists businesses in all elements of their operations, from sourcing supplies to estimating demand to accounting, human resource activities, and all aspects of marketing, among others.
Businesses are highly dependent on analytics to identify numbers in their operations. Furthermore, it provides thorough insights on what is and is not working on all aspects of business operations, such as marketing and sales scenarios such as content, social media campaigns, email marketing, website traffic, number of sales, and much more.
Data analysis gives significant value by providing the necessary knowledge to streamline corporate actions and results. To improve the outcomes of all of their business activities, a corporation can use analytics to better comprehend the following scenarios:
Making sense of useless corporate data
Highlight minor errors
Reduce customer service challenges
Make businesses proactive rather than reactive.
Urgency
Getting rid of the unknown
Many businesses profit greatly from data analytics since data has become the lifeblood of an organization’s efficiency, and cloud computing services enable all possible data mining, data modeling, and data processing requirements. Let’s look at some of the top industries that are employing data analytics and exploiting data to drive future growth in their respective fields.
Use of Data Analytics in Industries
Banking and securities, government, media and entertainment, and a few other areas have seen a surge in demand for analytical solutions and tools.
Securities and Banking
Hedge funds, retail trade, and large banks in the banking and financial markets have all deployed big data technologies to monitor trade analytics used in high-frequency trading, sentiment measurement, pre-trade decision-support analytics, predictive analytics, and so on. Other hot areas that heavily rely on data and analytics solutions include risk analysis, anti-money laundering, KYC (know your customer), fraud reduction, and demand enterprise risk management.
Banking and security organizations monitor financial market movements utilizing data analytics techniques and solutions.
Insurance Industry
To understand and manage their connections with clients regarding claims, underwriting, future consumer requirements, and much more, property and casualty insurance firms use telematics, agent interactions, customer contacts, smart homes, and even social media campaigns. Companies leverage data observation to attract new customers with improved customer service, allowing them to maximize revenue.
Manufacturing Sector
Manufacturing industries of various types, as well as natural resources such as oil, gas, minerals, metals, agricultural products, and so on, have generated a large amount of data during the previous few years. The data is not only massive but also complex and difficult to manage, making them an ideal target for data analytics. However, this set of data is currently unexplored.
Now, the sector is aggressively investing in predictive analytics technologies and embracing digitization to turn itself into a data-driven decision-making industry. Companies are ingesting and integrating various types of important data, such as geospatial data, text, graphical data, IoT data, and temporal data, into datasets to provide usable information.
Pharmaceuticals and Healthcare
Pharma and the healthcare sector are also investing in modern cloud technology and big data to improve medical services and consumer satisfaction through analytics. Wearable trackers and RPM (remote patient monitoring) are only two examples of advancements in the healthcare business; they also aid in determining whether patients are taking their meds and adhering to the treatment plan correctly.
Data accumulated over time provides clinicians with extensive information and helps medical practitioners with their patient’s well-being as well as actionable insights.
Transportation The transportation business has various unexplored big data prospects. Governments in various nations employ big data to better understand people’s needs, transform cities into smart cities with IoT, control traffic, optimize route planning and intelligent transportation systems, and manage congestion.
The business sector uses big data to provide a better customer experience during holidays, corporate meetings, and other stays, much as the government sector invested and improved data for day transportation. Logistics organizations are also employing data analytics to manage revenue, speed up operations, and gain a competitive advantage. The transportation industry is only now beginning to see widespread embrace of change.
Wholesale and Retail Industry
The retail and wholesale industries thrive on higher profits and better customer service. To stay ahead of the competition, retailers are adopting data analytics to deal with expanding big data to precisely anticipate customer needs and then deliver those needs. Analytics enables them to compete in a crowded market and stay ahead of the competition. Extraction of detailed insights from data analytics solutions allows them to keep their customers pleased and return to their stores. Retailers use data analytics in practically every facet of their operations, including:
Improve marketing by personalizing the customer experience.
Data analytics provides the technologies and tools needed to create a big data world with organized and unstructured data collections. Companies can utilize these solutions to optimize efficiency and avoid resource and time waste by strengthening their decision-making capabilities using data-driven insights. Many others are following suit and transforming their businesses to become data-driven to achieve better and more sustainable results.
Read further about two educational platforms in this article- IIM SKILLS vs. Ivy Professional School
IIM SKILLS vs. Ivy Professional School Data Analytics Course
IIM SKILLS
IIM SKILLS conducts a wide range of educational courses for every kind of student, including beginners, graduates, technologists, and mid-level and senior-level professionals. It has a reputation as a leading educational institution of online professional skills courses, providing complete training to excel at work or establish a business. These courses cover a wide range of topics, combining theory and practice, and apply to a variety of occupations and sectors. The well-planned content assists pupils in developing their abilities and receiving the greatest teaching. They can transform their passions into lucrative and fulfilling professions by identifying and improving their skill set.
The Data Analysis course duration is a path that fills students with confidence and skills. It is laid out at IIM abilities to help you gain the necessary abilities as you progress through the courses of the Data Analysis course. Reinforcing these industry-relevant abilities will provide you an advantage over your competitors in finding lucrative career opportunities in the market.
Modules Covered
Excel: Basic and Advanced
Excel Environment Formatting and Conditional Formatting Overview
Sorting, Filtering, and Validation of Data
Knowledge of Name Ranges
Chart types explained: column and bar charts, line and area charts, pie charts, doughnut charts, scatter plots
Formatting a graph
Creating and personalizing sophisticated charts such as thermometer charts, waterfall charts, and population pyramids
Data Analysis with Pivot Tables – Using the row and column shelves, values, and filters
Summary reports, advantages and disadvantages of data stacking and cross-tabulation
Modify the aggregation kinds and summarization.
Using pivot data to create groups and bins
Calculated field concept, usage, and restrictions
Various report layouts are available, including outline, condensed, and tabular formats.
Grand totals and subtotals can be displayed and hidden.
Reports making
Visual Basic Application components and working pattern
What Is Logic and What Is VBA?
What Is VBA?
Macro Recordings Overview, IDE
VBA Language Elements That Are Required
Programming statements, variables and data types, keywords, and syntax
Comments, Operators
Range Objects in Action
Structures for Programming and Control, Looping Structures, With-End with Bloc, Worksheet and Workbook Functions, Automatic Procedures, and Event
VBA Objects and Memory Management
Communicating with Your Users: Basic Dialog Boxes and User Forms
Using Add-ins and User Form Controls
Using the User Interface to Access Your Macros
Using VBA, retrieve data from an Access database in Excel.
SQL
What is SQL – A Brief Overview Installing MS SQL Server on Windows OS
Use of Server Management Studio Overview
Understanding fundamental database principles
Statements to Insert, Update, and Delete
Subsetting, Filters, and Sorting are all part of the Select statement.
Grouping and aggregation
SQL Functions: Number, Text, Date, and so on
SQL Keywords: top, distinct, null, and so on
SQL Operators: Relational (both single and multi-valued), Logical Application of wildcard operators and wildcard characters, et cetera
Understanding the Fundamentals of SSIS
Packages: An Introduction
Parameterization and Visualization
Using SSRS to Create Visualizations
Power BI
Power BI Overview and Installation
When working on a project, introduce different options in the Power BI Desktop Task pipeline.
Power Query Conditional Columns
Query Editor allows you to clean and alter data.
Define data granularity
Merging and appending data
Introduction to DAX Calculated Tables, Columns, and Measures
Time Intelligence in DAX
DAX functions that are frequently used in real-time
Power BI Reports Development
Working with Various Visuals/Charts
Report Formatting Options
To filter visualizations, use a slicer.
Utilizing Filters
Custom Visuals from the Gallery can be downloaded and used.
Include an R or Python visual.
Use key performance indicators.
Python
Statistics Fundamentals
Central tendencies measurements
Variance measures
Frequency measurements
Operations on Matrixes
Calculus Derivatives and Integration Overview
Maxima and minima
The area behind the curvature
Theoretical Optimization
Processing with NumPy (Numerical Python)
Pandas Data operations (Series & Data structures)
Tableau- Tableau product, measure and dimensions
Introduction of R for Data Science, Data exporting in various formats
Duration: Six months
Average Course Fee: INR 49900 + Taxes.
Placement: 100% Job Support.
Study material access: Lifetime access to all live and recorded Sessions.
Tools Access: Lifetime access to all the tools
Faculty support: Doubt clearing and direct guidance with the Faculty
Refund policy: Money back guarantee after dissatisfaction
Ivy Professional School is a pioneer in the country’s big data analytics and data science training disciplines and is the official training partner of corporations such as Genpact, HSBC, eBay/PayPal, ICRA, ITC, Capgemini, Cognizant, etc. Ivy Professional School has consistently ranked among the top data science and analytics schools in the US for the last five years. The specialist instructors at Ivy Professional School are affiliated with major institutions such as ISI, IIMs, IITs, and prestigious US universities.
Since its beginning in 2007, IVY has trained over 10,000 people from 10 countries, fifty organizations, and one hundred colleges (including IIMs, IITs, and ISIs). Ivy recently completed three face-to-face classroom sessions for a large analytics organization.
Individual participants can make use of Ivy’s extensive course content on analytic technologies such as SAS, R, Hadoop, Big Data, SPSS, machine learning, and the new buzzword Data Visualization.
The course and curriculum are heavily industry-focused, ranging from basic to advanced levels. Doubts will never go unanswered in any class, and what students like the most about the faculty is how fully they help a person understand the principles. Students will get hands-on experience with real-world projects and case studies in data analytics utilizing Hadoop, Spark, Hive, and AWS.
Course Modules
Dashboard and Automation Learning with the use of Advanced Excel
MS Excel Basics, Cell Reference, Basic Functions, and Usage
Sorting, filtering, advanced filtering, subtotal pivot tables, and slicers are all available.
Goal Look for and solve various charts Graphs: When and how to utilize them
Conditional Formatting: Vlookup, Hlookup, Match, and Index
Error Handling, Worksheet & Workbook Reference
IF and Nested IF are logical operators and functions.
Validation of Data
Text Features
Controls for Forms
Dashboard
Industry Case Studies from Insurance, Sales, Marketing, and Web Analytics
SQL Queries and Database Management
Fundamentals of Databases
Efficient Relational and Create Database Models
Case Studies in Database Model Design
Data Handling Case Study Implementation
Importing and Exporting a Large Volume of Data into a Database
DDL, DML, DCL, and DQL SQL Statements
Merging, joining, sorting, indexing, co-related queries, and so forth are all examples of transactional SQL queries.
Exercises in Data Manipulation Using SQL Queries
Using SQL Statements to Create Database Models
Individual SQL Statement Handling Projects
Tableau
An Overview of Data Visualization
Introduction to Tableau Data Visualization
Tableau Fundamentals
Utilizing Sorting and Filters
Making Dual Axis and Combination Charts
Calculations in a Table
Overview of the Calculated Field
4 Case Studies Using Retail, Airline, and Bank Data
Business analysis and statistics
Data formats, and Visual Representation
Index Numbers, Correlation, and Data Modeling
Central Tendency and Dispersion Measures
Time Series Analysis and Forecasting
Bayesian Probability Theory Probability Mathematical Expectation and Distribution
Sampling and Distribution of Sampling
Estimation Theory and Hypothesis Testing
R
Introduction to R Data Handling in R Analytics and Statistics Overview
Overview of Analytics and Statistics: String and Character Functions in R
Time Series Theory Overview Linear Regression in R Logistic Regression in R
Case Study Feature Engineering and Dimension Reduction, as well as Case Study Decision Trees
Python
Python Scientific Distribution Essentials
Python Data Manipulation and Visualization Introduction to Predictive Modeling
Linear Regression Modeling
Logistic Regression Modeling
Forecasting Time Series
Machine Learning
Decision Tree for Supervised Learning
Ensemble Learning: Supervised Learning
Analytics and Text Mining
Program Name: Data Analytics With Visualization Certification Course
Duration: 195 hours
Average Course Fee: INR 40,684 / (Inclusive of All Taxes)
Frequently Asked Questions (FAQs) on IIM SKILLS vs. Ivy Professional School Data Analytics Course
Question 1) What exactly is Big Data Analytics?
Big Data analytics has become the backbone of huge industrial and commercial firms in making critical decisions based on data analysis results. Data analytics is simply the act of analyzing data to identify patterns and develop conclusions to make an essential choice. Nowadays, thanks to technological advancements, data may be evaluated utilizing advanced analytical approaches such as the analysis of structured, unstructured, and semi-structured data. Big data is a term used to describe large data sets that cannot be handled by traditional analysis databases. Data analysis has become a sought-after vocation by corporations and enterprises since it allows them to make faster, more efficient, and more intelligent judgments.
There are numerous career opportunities in the field of data analysis, but there are fewer people to fill them. Big data analytics is a booming area with an increasing number of enterprises and firms, but there are fewer people to fill these positions. As a result, firms are willing to pay top dollar to individuals with the necessary skill set in the field of big data analysis. The job of data analysis is not only limited to concluding for the company to make better decisions, but they can also take on other jobs such as machine learning, data architecture, and data modeling where they get to explore new algorithms and new aspects of data analysis.
Question 2) Have in India and around the World any thriving Scope of Data Analytics?
Answer: Data analytics is surely in high demand because enterprises and large corporate firms require these analysts to help them make faster and more successful business decisions. The employment of new and advanced technologies in this industry demonstrates the importance of data analysis and processing in enterprises and firms. They are acquiring the greatest software and machines available to assist them in the processing and analysis of large amounts of data. Data analysis assists in making pricing strategy decisions, determining ways to cut various costs, and optimizing the procedures used by the business or firm to make the system in the business cost-efficient and effective.
Data analysis studies are not limited to just analyzing patterns to come up with effective solutions; rather, there are many jobs in computer-related skills as well, such as developing new software, retrieving data using machine language, and using machine learning to better understand the process of data analysis and data mining. The scope of data analysis is not restricted to a specific sector of corporations or enterprises; it is a skill that is necessary in all operational companies all over the world.
Question 3) What are some of the quintessential skills for Data Analytics?
Answer: Jobs in the field of data analytics necessitate strong analytical abilities as well as numerical abilities. To make effective and timely decisions, the individual must be able to think reasonably and critically. In addition to these, prospective candidates for big data analytics employment must possess particular technical skills. A candidate seeking a job in big data analytics should have the following characteristics:
Analytical abilities
Learning by machine
Java, Python, Scala, SQL, and MATLAB programming
Logical reasoning
Thinking critically
Decision-making abilities
Observational abilities
Concluding thoughts on IIM SKILLS vs. Ivy Professional School Data Analytics Course
We hope this extensive article on IIM SKILLS vs. Ivy Professional School Data Analytics Course has been able to answer some of your questions on data analytics and related courses, curriculum, duration, practical assignments among other things. Deep dive into the world of analytics and make a prosperous career for yourself. All the very best for the future!
Start your career in data analytics and be a successful professional in the technology field. This page about- IIM SKILLS vs. IIT Kanpur Data Analytics Course – A comprehensive discussion is a perfect read. Beginners or already working professionals who are looking for a successful career in data analytics will get a comprehensive discussion. This blog will evaluate both of these educational institutes’ and data analytics courses together so you may make crucial decisions that are suited for you.
This blog on IIM SKILLS vs. IIT Kanpur Data Analytics Course will help our readers to understand data analytics from the basics and will include all the information related to data analytics to understand. Let’s start by defining Data Analytics.
Data Analytics
Data analysis is a systematic computing analysis of data or statistics. Data Analytics is commonly used today by businesses for the identification, explanation, and dissemination of huge and significant data patterns. It also incorporates data patterns to make decisions. Analytics, which heavily depends on the contemporary application of statistics, computer programming, and other operations research to quantify significant performance. It can be useful in sectors for financial information. The practice of data collection is used and created through Data Analytics software.
The Field of Data Analytics Crosses Several Disciplines:
To extract useful information from data through analytics.
Substantial usage of computer expertise.
Usage of mathematics, statistics, the use of descriptive approaches, and prediction models.
Use in unsupervised machine learning methods like cluster analysis, Principal Component Analysis, segmentation profile analysis, and association analysis.
The phrase “advanced analytics” is increasingly being used to refer to the technical components of analytics, particularly in the newer areas like the application of machine learning methods like neural networks, decision trees, logistic regression, linear to multiple regression analysis, and classification to perform predictive modeling.
Data Analytics is Used by Organizations for Many Purposes Such as:
Analytics of Marketing Optimization
Analytics are used by marketing firms to assess the results. Businesses run marketing campaigns and direct initiatives for customer targeting. Marketers can use a lot of consumer purchase, survey, and panel data together with techniques like conjoint analysis, demographic studies, and customer segmentation to comprehend and articulate their marketing strategies.
Quantitative and qualitative data, both structured and unstructured, are combined in marketing analytics to inform strategic judgments about brand and revenue outcomes. Utilizing the data, businesses can predict outcomes and change their strategic planning to improve performance.
Marketing approaches to pricing, advertising and modeling analyses, sales force optimization, and customer analytics, such as segmentation, are analysis methods that are often employed in the field of marketing. Nowadays, more often than not, more traditional marketing analysis techniques are used in conjunction with web analytics and optimization of websites and online campaigns. Because of the emphasis on digital media, marketing mix modeling is now frequently referred to as attribution modeling in the context of digital or marketing mix modeling.
The strategies, approaches, and technical tools, support operational initiative support, which aims to target the best potential customer with the best message in the most cost-effective medium at the best time, and more strategic campaign support, which focuses on how much overall to spend on marketing and how to allocate budgets across a portfolio of brands and the marketing mix.
Analytics of Human Behavior
To understand better workforce capability and alter how businesses are run, statistical analysis of human behavioral data.
Workforce analytics, HR analytics, talent analytics, people insights, talent insights, colleague insights, human capital analytics, and HRIS analytics are other terms for people analytics. Analytics applied to human resource management is known as HR analytics. It has been claimed that People Analytics is a distinct field from HR analytics, with a stronger emphasis on business challenges than on operational procedures. However, experts have different opinions, with many suggesting that in the changing workplace brought on by automation, Human Resources will need to develop People Analytics as a crucial component of a more effective and strategic corporate role. Some experts contend that People Analytics should remain within HR rather than being moved there but with the help of a new breed of HR professional who is more data-driven and business-smart.
Analytics for Business Portfolio
Data analytics is also used for business portfolio analysis. Portfolio analysis is a typical use for business analytics. Here, a bank or lending organization has a variety of accounts, each with a different value and level of risk. The accounts may vary according to the holder’s social position (rich, middle class, impoverished, etc.), location, net value, and a variety of other characteristics. For each loan, the lender must strike a balance between the return on the loan and the default risk. How should the portfolio be assessed as a whole then?
Although there aren’t many affluent people, lending to them can be the lowest-risk option. However, lending to the impoverished is riskier and there are a lot more of them. It is necessary to strike a balance between increasing yield and reducing risk. To decide when to lend money to these various borrower segments, or to decide the interest rate to be charged to members of a portfolio segment to compensate for any losses among members in that segment, the analytics solution may integrate time series analysis with many other challenges.
Analytics of Risk
In the banking sector, predictive models are created to offer certainty to the risk scores for specific consumers. Credit scores, which are frequently used to assess each applicant’s creditworthiness, are created to anticipate a person’s propensity for delinquency. Additionally, both the scientific community and the insurance sector do risk studies. To determine whether a transaction is legitimate or fraudulent, it is also widely employed in financial institutions like online payment gateway businesses. They exploit the customer’s transaction history for this purpose. When there is an unexpected increase in the volume of client transactions, this is more frequently utilized for credit card purchases. The consumer receives a call to confirm whether the transaction was initiated by him or her. This aids in minimizing loss brought on by such events.
Digital Analytics
A collection of technological and business processes known as “digital analytics” is used to define, develop, gather, validate, or transform digital data into reporting, research, analyses, suggestions, optimizations, forecasts, and automation. This also applies to SEO (search engine optimization), where keyword searches are monitored and the resulting information is used for marketing.[31] Digital analytics includes banner advertisements and clicks as well. For their digital marketing projects, an increasing number of brands and marketing agencies rely on digital analytics, where MROI (Marketing Return on Investment) is a significant key performance indicator (KPI).
Analytics for Security
Information technology (IT) gathering security events for understanding and analyzing those that offer the highest risk is referred to as security analytics. Products in this category include event management, user behavior analytics, and security information.
IIM SKILLS vs. IIT Kanpur Data Analytics Course – Let’s discuss
IIM SKILLS
IIM Skills offers a 6-month-long Data Analytics Training program that also includes a 2-month, elective, unpaid internship. You achieve proficiency in a wide range of topics, including NumPy, clustering, DB Scan, Python libraries, and many more ideas.
The courses cover a wide variety of topics, combining both theory and live practical, that are relevant to a range of professions and businesses. The extensively designed curriculum by experts aids in students’ skill development and ensures they receive the greatest education. They can transform their passions into successful and fulfilling careers by determining their passions and developing their skill set.
IIM SKILLS is the Best Choice for the Following Reasons:
IIM Skills provides lifetime access to the study materials and class recordings.
It offers career assistance and advice in job placement.
IIM Skills provides demo classes for learners, if they are not satisfied with demo classes, can withdraw their enrolment immediately after the first class.
A 2-month internship is also included in the program for practical professional experience and certification.
Learners will be able to get updated skill-based training that is useful and based on the latest trends.
One of the most crucial reasons for choosing IIM Skills is that learners can study remotely in their comfort zone under the best guidance.
IIM Skills has the best knowledgeable and industry-expert faculty members who are proficient in their subjects.
IIM Skills conducts classes at flexible timings, so both students and professionals can take their classes without any misses. Classes are mostly scheduled on weekends, if someone misses due to their immediate obligations, class recordings are also available for them to cover the syllabus.
10% of group discount on group registration.
Modules
Data Analytics Using Advanced Excel (9 Hours)
Topics included
Introduction to Data Handling
Data visualization in Excel
Data manipulation and its function
Data analysis and its reporting
Dashboard
Dashboard creation by using Excel- Pivot Controls
Course Content
Introducing Excel
Formatting and Conditional Formatting
Data Sorting
Data Validation and Filtering
Data Analytics Using VBA (15 Hours)
Topics include
VBA
Primary elements of programming language
What VBA is and how does it work with Excel?
Programming construction in VBA
VBA functions and procedures
Memory management in VBA
User’s communication
Course Content
What is VBA?
Macro recordings and IDE
Data Analytics Using SQL (39 Hours)
Topics covered
RDBMS conceptualization
Utilising and exploring the object
Data manipulation
Object creation based on Data
Reporting services (SQL server)
Integration services (SQL server)
Course Content
Schema – Meta Data
Database design
Data integration- types of relationship
Basic concepts- Queries, Data types & NULL values, operations, and SQL comments
Data Analytics Using Power BI (24 Hours)
Introduction of Data Preparation
Introduction of Data Modeling
Learning to add and remove rows in columns
Data Analysis Expression (DAX)
Report management visuals in Power BI
Course Content
Introduce Power BI
Power BI installation on desktop (signup)
Power BI views
Apps templets
Task pipeline while working on projects
Data Analytics Using Python-1(10 Hours)
Foundation of basic statistics
Basic Mathematical Introduction
Basic introduction to Data Science and Analytics
Python
Numerical Python
Foundation of Pandas
Data cleansing (with Python)
Course Content
Basic Statistics
Computation of variance and central tendencies
Frequency computation
Ranking
In-depth knowledge of Probability & Distribution
Conditional Probability
Data Analytics Using Python-2 (10 Hours)
Data Analysis with Python
Basic tools for visualization
Data Visualization
Advanced Data Visualization
Statistical and hypothesis method, testing, etc
Course Content
Exploratory Data Analysis
Descriptive statistics
Summarization
Frequency Tables
Data distribution &Graph Analysis
Data Analytics Using Tableau (15 Hours)
Introduction of Data handling
Introduction of summaries-1
Introduction of summaries-2
Advance report building
Fields & Table calculation
Course Content
Introduction of Tableau
How Tableau works
Data Introduction, connection, source, and concepts
IIT Kanpur offers Advanced Data Analytics Certification. The Data Analytics Course from IIT Kanpur is a great learning process. The faculty team is well qualified and expert in their respective subjects Also they are very quick in response and doubt clearing of students.
Students will be able to learn in-depth business analytics concepts, analytics techniques, and R language programming. Apart from this, the study material is comprehensive, engaging, application-oriented, and practical more than just theory. The case studies and assignments offer students to learn various concepts and theories of different programming, Some tests are technical analytics and more understanding while improving your comprehension.
With core competencies in the highly sought-after fields of data analytics, statistical modeling, and data visualization in R, Tableau, and SQL, IIT Kanpur is the top-ranked institute of national importance in India.
Some Significant Reasons to Choose the Data Analytics Course From IIT Kanpur Such as:
Receive a certificate from IIT Kanpur with comprehensive job support that is endorsed by the Indian government.
Obtain a certificate from IIT Kanpur with full work support that has been approved by the Government of India.
70% of the training will be practical.
7 commercial projects across various industries
7 commercial projects across various industries
IIT Kanpur offers a full refund 6 days after the start of classes, if students are not satisfied with our teaching then they have the option to cancel their enrolment.
Well-experienced, elite academicians from IIT Kanpur and leaders in their fields from TCS to Accenture.
24×7 access to the course material and videos.
Students From IIT Kanpur Get Placement in Some of the Most Reputed Companies Such as:
Cognizant
TIGER ANALYTICS
Accenture
PWC
Deloitte
TATA Consultancy Services
AON
LARSEN &TOUBRO
Capgemini
Course Curriculum
Data Analytics in R
Introduction of Analytics
Basic structure of R
Fundamental Statistics using R
Logistic and Linear Regression in R
Marketing analytics using R
Segmentation, Time series foretelling R
Decision Range using R
Random Forest
XGBoost in R
Problem Solving
Understand Analytics with Actual Business problems
Data Analysis using SQL
Fundamentals of SQL
Data Types & Operations (SQL)
Trending Operations in SQL
Comprising Data using SQL
Functions in SQL
DML and DDL Statements (SQL)
Joining and Viewing using SQL
Use of Tableau in Data Visualization
Introduction of Power BI, Tableau & Visualization
Data Sources Connection
Tableau Producing Fields
Data Customization & Manipulation
Parameters of Statistics
Creation of Dashboard & Visualization
Data Analytics using Python
Fundamentals of Python
Loops and Function
Data Summary
Data Visualization using Pandas
Data Processing using NumPy
Through this program, which is offered through live sessions with industry experts, hands-on laboratories, and live masterclasses from renowned IIT Kanpur faculty, you can develop your data analytics abilities and learn how to demystify data. Enhance your ability to apply analytics by learning important topics.
Advanced-Data Analytics Certification
Eligibility: Graduate in any field | Technical background not required
Duration: 180 Hours
Training: Live Training & 100+ Hours Theory & Practical
IIM SKILLS vs. IIT Kanpur Data Analytics Course Conclusion
If you have a keen desire to learn a course that will be not just different from the traditional profession but also help you to grow in your career in constant or advent digital transformation then the Data Analytics course is ideal for you. You need to choose your course and institution more careful
Data analytics has recently become one of the most sought-after occupations in India. To help them make sense of the data explosion brought on by the digital age, businesses are looking for qualified individuals. Numerous data analytics courses have appeared in response to this need, each offering to give students the knowledge and abilities necessary to succeed in this industry. Despite this, some courses provide more placement support than others and are not all created equal.
In conclusion, the aforementioned learning platforms are well-regarded and offer top-notch Data Analytics courses. By concentrating on real-world projects and industry-specific themes, students can get practical experience and information that will help them in their careers.
I hope the information in this blog-IIM SKILLS vs. IIT Kanpur Data Analytics Course will be helpful in making the right choice for the course and educational institution.
Frequently Asked Questions (FAQs) on this read- IIM SKILLS vs. IIT Kanpur Data Analytics Course
Q. Is studying a data analytics course beneficial for a career?
The Data Analytics course is worthwhile for the present and future. It offers several career options in different positions but in the end, it all comes down to one’s effort and professional objectives. Assessing the value of a course in data analytics depends on account the following factors:
Career opportunities in Data Analytics: As organizations highly rely on data-driven insights for business decision-making, data analytics is in rising demand across industries. Course in data analytics can lead to employment in several different fields, including data analysis, business analysis, data science, and data consulting. These jobs frequently have vacancies for constant advancement and lucrative reimbursement.
Skills: A training program in data analytics offers learners a well-structured curriculum and live practical instruction on several topics like data manipulation, machine learning, data visualization, statistical analysis, and language programming. These technical skills are beneficial in the present job sectors, and market. These skills can increase your employability in different sectors that rely heavily on data.
Advanced comprehensive knowledge: An advanced understanding of data analytics principles, processes, and best practices is provided via a program. The course in Data Analytics helps learners to achieve comprehensive statistical details and modeling. The data management and the moral issues related to the use of data can stand out among applicants without a formal education in the subject if they possess such particular knowledge.
Networking and connections: Earning a certification/diploma in data analytics gives learners the chance to maintain connections with professors, peers, and business leaders. These relationships may be useful for prospective employees in future partnerships, job placements, and internships. Career development of beginners may also benefit from the advice and insights offered by networking/ connections of academic members and seasoned professionals.
Credentials and credibility: Skills and credentials will be more sustainable if the course in data analytics is from a valid educational institution. Employers value such achievement if it is a specific level of academic proficiency and a thorough comprehension of the subject.
Recognition in the industry: Businesses demand such professionals who have training in data analytics. They might favor applicants who have proven a dedication to learning and have accumulated a wide range of abilities through a program. In these situations, having a course in data analytics can help the application stand out.
The value of a data analytics education ultimately depends on your objectives, the particular curriculum learners choose, the employment market, and the capacity to make use of the knowledge and skills have acquired throughout studies.
Q. How Can Data Analytics Work for Business?
Data analytics is very useful for businesses because it helps in making better decision-making, identifying new market trends, updates, and patterns after data research, and improving the overall financial performance of a business’s goals.
Q. What Tools are Typically Used for Data Analytics?
Investment banking is the fragment of “Investment services”. Investment banker works to raise funds for the government, companies, and particular stockholders. It plays the role of a mediator between an investor, who wants to invest their money, and an association, which requires assets to grow and raise their business. Investment banking needs your valuable time to invest for the long term and much hard work to get a reputation job in investment banking. This article is designed in such a way that it will clear your all doubts and show you some of the well-deserved investment banking courses in Noida.
What is Investment Banking?
Investment banking belongs to finance services, which facilitate investors and organizations in complex transactions, give advice related to investment, guide in matters of fundraising, find risks, and find solutions.
To put it another way, investment banking is an area of experts with an eagle eye on the current market situation. Investment banker helps investors and businesses to raise money and also offer them financial counsel in the complex world of finance.
Businesses and govt. reach out to investment bankers to make suitable and profitable plans to get more profits. Investment banker uses their expertise and skills to make the best decisions based on the current market condition recognize threats and risks and find the best solution to get more profit.
Must check out the other high-in-demand courses in Noida
An investment banker is an expert in dealing with elevated money for investors, government, and companies.
Investment banker underwriting debts and providing security to owner equity.
An investment banker is the lead player and plays an important role in the development and financial progress of a company.
An investment banker helps a company or individual investor to warn about future risks and difficulties and helps them to give solutions to maximize profit.
Investment bankers also provide mergers and acquisitions. (Merger means when two different companies come together to create a new organization and when one company takes over another company is called acquisition)
Jobs in Investment Banking
Investment banking is doubtlessly one of the respected fields in the big world of finance. It requires more than just academic qualification, but once you enter the investment course in Noida, you will encounter many opportunities. It has many sub-roles, and according to your interest level, you can choose one of them and stand different in the finance world. Here is the list of some highly paying jobs:
§ Banker
A banker is a professional who suggests to clients various financial issues gives the best solutions and advises them best investment option to save them from future risks.
§ Bank Teller
A Bank teller is a job for responsibility who takes care of various transactions like money depositing, cash checks, providing loans, and debiting. Also, helps the investor to answer their queries.
§ Client Service Associate
The client associate is a multitasker, they assist brokers as well as provide support to financial advisors and assist clients related to their account details.
§ Accounting Associate
An accounting associate must have an innovative mind with a problem-solving approach to manage accounting duties and provide expertise in financial functions. An accounting associate guides on long-haul financial decisions and prepares a plan.
§ Division Manager
Division managers make sure that all clients get high-quality service and assist them in the best way by a bank. They are answerable for day-to-day operations and work as a supervisor of all employees who work in a bank.
§ Financial Analyst
Financial analysts conduct research, analyze economic and market conditions, and provide well-informed guidance to organizations or individual investors. It’s a highly-paying job if you put your heart into this field.
§ Equity Analyst
Equity analysts are also known as, research analysts, financial analysts, or investment analysts. They are expert researchers who monitor public organizations and come up with factful information and valid suggestions for individual investors about their investments and whether they should sell, continue, or buy. Their expert skills and knowledge give appropriate and accurate guidance regarding finance to investors.
§ Private Equity Analyst
A private equity analyst is a direction provider to clients or companies related to investment. Their full-fledged research and strategies ensure clients profit from their investments.
Selecting a career as an investment banker can be very repetitive and rewarding, but it is also very time-consuming, not everybody can able to go long and invest so much time in this field. It is very demanding in today’s tech world you would feel pressure sometimes.
Investment bankers need a handful of knowledge, and analytical skills, and also need to be mentally and emotionally strong to handle the pressure, stress, sadness, and tension of doing work on time and manage every situation with calmness. Here is a list of some skills that one must have to enter the investment course in Noida:
Skilled Researcher and Analysis:
Investment banking is a kind of area where without analyzing the situation and without current information a banker is not able to do anything correctly and would not be able to take place in today’s market if you want to beat the rush in a competitive market and want to stand out among all you must have a tactic of proper researching any topic.
Knowing the current trends and situation of a market or a company, what are the consequences, what can happen shortly, and whether it will profitable or not, all these questions can be answered only by keen research and analyzing the situation.
Ability to Give Hundred Percent in a Dynamic Workplace:
A dynamic workplace or rapidly moving environment means having to complete tasks on time in strict time but embracing challenges and staying calm and focused to achieve outstanding results. Tight deadlines and demanding circumstances may cause stress but you should remain relaxed and focused. Despite the challenging environment, one should be able to deliver quality results.
Time Management:
Time management is the art of utilizing time in the best and most productive way. Time management involves making a list of important activities, setting a deadline, and dividing time for each task to complete on time.
The technique of time management plays an important role in reducing work stress, increasing productivity, and making you more focused. In today’s world of technique and distractions, time management is a must-have skill all should have.
Good communication and social skills are key to every relationship no matter what kind of relation it is. Communication skills play the most important role in a job because it facilitates understanding and collaboration and helps to build a strong bond between clients and colleagues. Effective communication skill enhances teamwork and boosts productivity.
Energetic and positive attitude:
The hectic field of investment banking needs more energy, attention, and a positive attitude toward the work. A lethargic nature can’t survive in the fast-paced environment of investment banking. This industry requires experts who are highly motivated and positive mindset in every difficult condition. A positive mindset helps you handle pressure and stress and leads to progress.
Good team player:
Team team-oriented approach shows a positive attitude and willingness to work together of a person. It brings a more positive environment to the company and helps to do work with more interest.
A good team player is open to working with others, sharing ideas, asking for new ideas, and listening to all colleagues. They tend to be more supportive in nature, reliable, and adapt to every situation and working style to fit in teamwork.
Qualification for Investment Banking:
Graduation in Finance, Economics, or Mathematics
Degrees in various subjects like Computer Science, or Physics are also eligible to make a career in investment banking
For high-paying jobs in the area of investment banking, you should have an MBA in Finance
A master’s degree in Financial Mathematics is also applicable to an investment banker
Must have 55% grades in graduation
Dig in to find the other rewarding courses for career upliftment:
Globally recognized institute for most demanding courses with practical learning, IIM SKILLS is located in New Delhi, the capital of India, and also serves their best services including Dubai and Singapore. IIM SKILLS offers the best faculty with 12+ years of experience at reasonable course fees.
They believe in enhancing skills related to the industry rather than focusing on only theoretical knowledge.
Training period: 3 months and 1-month internship. Up to 70 hours of online lectures to strengthen your basics, train you for the future during the internship, and conduct doubt sessions. The internship is remote, during the internship period, IIM SKILLS gives you real-life case studies, templates to prepare, and a practical assignment.
« Provide master certificate, recognized by Govt. of India
« Live + Interactive classes
« Quick response from the team to resolve your problems
« One-time payment and give lifetime excess to the program
SLA stands for Structure-Learning-assistance, Consultants Noida. It is a well-recognized institute, located in Delhi, Gurgaon, and in Noida. It offers short-term investment banking courses in Noida, with more than 80 professional trainers with 10-plus years of experience. SLA provides both offline and online classes with practical knowledge, which makes you able to face challenges in the future.
You can also choose one-on-one sessions and workshops according to your interests. After finishing the course, you will get an industry-recognized certificate and they also guarantee 100% placement. SLA welcomes both freshers and professionals in investment banking in Noida.
Highlights:
Industry recognized certificate
Practical session in the lab
Highly experienced trainer
100% placement guarantee
Assistance for 7 days to arrange or schedule doubt classes
Workshops for real-time problem solving
The course provides: Investment banking and Financial Modeling
Training module for Investment banking courses in Noida:
Unit:1 – Advance Excel:
Reference functions of Excel
Substitute function and data scrubbing
Logical functions
Multidimensional/ single analysis like manual what-if analysis, threshold values, etc.
Dynamic Bar charts, Pie charts, Line charts, Graphs, and Dashboard
Basic to advanced filters, data validation, splitting data, cross tables and charts, data importing and exporting, print display, etc.
Unit:2 – Deep knowledge of Corporate Finance and Financial Statement analysis:
Introduction to Financial Statement
Annual report
Horizontal and Vertical size analysis
Financial ratio analysis including; activity ratio, liquidity ratio, solvency, and profitability ratio
Basic projection technique
Build an understanding of corporate finance
Understand the plan for interest and debt, equity, cost of debt, and equity
The measure of ascendancy, impact on the cost of capital
Applies these techniques with real-time studies and company
Unit:3 – Financial/Economic Modelling:
Understand the combined financial model
Build an accommodated model
Case study
Advanced modeling concepts and techniques
Ordinary modeling error
Unit:4 – Advanced dashboard and visual basics for application
Introduction to Programming
Learn VBA language
Unit:5 – Overview of SAP (System, Application, and Product in data processing) and FICO (Financial and Controlling)
FINXL is one of the best institutes for learning Investment Banking courses in Noida, it believes more in practical knowledge rather than theoretical knowledge.
Although the investment banking job is demanding few can do it properly, Due to the lack of skills and experience, FINXL provides proper guidance and trains students by allowing them to deal with real-life problems. It starts from basics so students need to be worried about pre-knowledge related to investment banking.
Course name: Investment Banking
Fees: 30,000
Period: 4.5 months
Make you ready to move forward for CA, MBA, B.E., CFA, BBA, BCA, M.com.
High spots of the course:
Issue 3 Certificate of Equity Research, Financial Modeling, and Excel
100% job placement guarantee
Life-long ingress
Concurrent case study
Assist you in building a resume
Career forum, where you can connect globally
One-to-one interview preparation
4month internship
Allow the placement manager to guide
Course Curriculum:
Unit:1- Basic to advanced MS-Excel
Unit:2- Understand Data collection and Modeling
Unit:3- Fundamentals of Finance
Unit:4- Valuation and building Financial model
Unit:5- Leveraged buyout and M and A
Unit:6- Power BI
Unit:7- 10 current situation to deal with, presentation skills, building soft skills, and preparation of Interview
Further courses; online/offline:
Financial modeling and analysis
Equity research
Financial analyst
Microsoft Power BI
Excel expert
Economic analyst
4. IMARTICUS
IMARTICUS is a worldwide recognized institute for providing quality education and for imparting skills needed for a job. IMARTICUS identifies the abilities and strong points of learners and designs the course accordingly.
If you are interested in investment banking courses in Noida and looking for the best platform to invest your time and money to get a high-paying job IMARTCUS will be the best platform. It provides both offline and online classes. Recently graduated, from Management, Finance or Commerce.
Course fees: 1,40,000
Duration of the Program: 2.5 months
Other Courses in Finance: (Postgraduation Programs)
Postgraduate program in Financial Analysis
Postgraduate in Banking and Finance
Investment Banking operations professional
Authentication Courses:
Management accountant USA
KGMP Financial Analysis Pro-degree
Association of Charted Certified Accountants, UK
Administrative Program:
IIM Indore postgraduate certificate program for emerging CFO
IIM Lucknow advanced management program in financial services and capital markets
Investment Banking and Capital Markets
IMRTICUS will make you capable in the financial market field, trade life cycle, and risk management and make you job-ready with:
Industry-recognized certificate
Give you career support, and guide in resume building
Preparation for interview
Guarantee job
Practical knowledge to build job-specific skills
Give real-life problems and projects to solve
Topics will be covered during the Investment banking courses in Noida:
Basics of Financial Market
Foreword to Investment Banking
Fixed Income and Cash Equity
Foreign exchange and Money Market
Derivative Markets
Job Preparation
Concepts of Trade Life Cycle:
Data management
Corporate action
Asset management
Reconciliation
International Swaps and Derivation Association introduction
Basics of Stock, Borrowing, and Lending
Collateral management
TLC (Trade life cycle)
Concepts of Trade Life Cycle:
AML and KYC
5. TAPMI (T.A. Pai. Management Institute)
T.A. Pai. Management Institute is well-known and ranked #38 in 2022 among 125 Business Schools in India and #22 in 2023 in MBAunivers.com Business School in India. It provides the best quality training in MBA-Banking and Financial services by virtual mode.
MBA program makes you competent with the required skills and knowledge to make a profitable and reputation career in distinct job roles, like; Wealth Management, Investment Banking, economic risk Management, Financial Analysis, Fund Investment, and Services, etc.
FinTech and the role of emerging technology in finance
Analytics of banking and finance
Age banking and finance
Banking
4th semester:
Capital markets
Advanced corporate finance
Eligibility for entering the investment banking courses in Noida:
& Graduated from a well-recognized university
2 Minimum 60% marks in graduation
At least one year of experience in work
Process of Admission:
Select the program and register
Give details of work and education
Seat blocking amount
Complete the documentation and submit the form
Pay the course fee
FAQ Related To Investment Banking Courses in Noida:
Q. Explain the purpose of investment banking.
In short, investment bankers are the linker between large companies and individual investors. Their main purpose is to advise organizations and governments to get the maximum benefit and overcome financial challenges. Investment banks find the issue and guide the investor to get maximum results. There are three main functions of investment banks: underwriting, advising on acquisitions and mergers, and if they find any risk helping investors to make plans accordingly.
Q. What are the best to prefer investment banking courses in Noida?
If you want to gain deep knowledge and master your skills, then investment banking courses in Noida provided by IIM SKILLS are best suited for you. If you are confused about what to choose, then take a course in investment banking, go through the course and if it seems desirable and profitable, then take your steps forward.
Q. Is investment banking a good career?
Yes. It is one of the highly rewarding careers.
Conclusion of Investment Banking Courses in Noida:
In conclusion, the Investment banking courses in Noida proffers reframing learning for learners. In the article, various aspects of investment banking are explored, from understanding investment banking to getting the best course for enhancing your skills and knowledge. By enrolling in an investment banking program, learners can make a path to high-paying, and repetitive jobs in the financial world.
It is crystal clear that selecting an investment banking course proves a good decision, as it enhances your skills and increases your knowledge important to dive into the competitive financial world. Grabe your chance to take your career to the highest level by enrolling in an investment banking program. Accept the challenges, acquire practical knowledge, and stand out in the crowd.
The end goal for any business is to earn profit. So, to earn a profit, one has to make proper business decisions that lead to success. One of the major decisions in business is financial decisions. Investment Banking helps organizations in getting capital funding and making financial decisions beneficial for the company. Investment banks also help in the merger, acquisition, & underwriting of organizations. Before beginning with the top 6 institutes offering investment banking courses in London, let us understand what investment banking is, its types, and the importance of investment banking.
What is Investment Banking?
Investment banking is a division of the financial industry that provides a range of services like issuing securities (such as stocks, and bonds), strategic financial advice to companies, underwriting, capital raising, asset management, risk management, Merger & Acquisitions to corporations, governments, and other institutions.
Investment Banking is a type of banking that provides financial services to governments, organizations, corporations, and large institutions. They manage the corporation’s IPO and give advice to various companies regarding mergers, acquisitions, or reorganizations.
They act as the median between the ones looking for capital and those who are looking to invest their money. Investment Banks help other banks and organizations in large and complicated financial transactions.
Businesses and institutions seek advice from investment banks relating to how to plan their finances, from where to seek funds, advice relating to mergers, acquisition or reorganization, issuing of stocks, and sale of securities.
Some of the biggest investment banks are Goldman Sachs, Morgan Stanley, JP Morgan Chase, Bank of America, Citigroup, Barclays Investment Bank, Merrill Lynch, and Deutsche Bank.
Let us understand investment banking and its roles through an example
Suppose Rayon Fabrics (an MNC Company dealing with all types of fabrics) approaches an investment bank to assist them with their IPO process. Firstly, the investment bank’s researcher and analyst team does the financial analysis of Rayon Fabrics.
They will assess its business model, financials, market position, growth prospects, and competitive landscape. Based on their analysis, they determine the appropriate valuation for the company.
The investment bank then advises Rayon Fabrics on the optimal capital structure and share offering size. They also help the company determine the initial offer price for its shares.
They ensure that the IPO complies with all the relevant securities laws and regulations. Then they will work with the company’s legal team to prepare the necessary documentation and filings with the appropriate regulatory authorities.
The Bulge Bracket Banks are the largest in terms of size and in terms of handling the biggest corporate clients and largest deals. The majority of clients belong to the Fortune 500 or at least on the list of Fortune 100.
Bulge Bracket Banks works globally, they have a presence in the domestic market as well as the international market. They provide their clients with all the financial services including asset management, equity research and issuance, M&A Services, business asset management, underwriting, and every service included in the finance sector.
These banks also have retail and commercial sectors to gain additional revenue by cross-selling financial products. Some of the famous Bulge Bracket banks are Bank of America, Merrill Lynch, Goldman Sachs, Credit Suisse, and JPMorgan Chase.
Boutiques
Boutique investment banks are sub-categorized into two types: Regional Boutique Banks and Elite Boutique Banks.
· Regional Boutique Banks
Regional Boutique Banks are the smallest investment banks in terms of firm size and deal size. These banks specialize in a particular area and work in that field only. They handle smaller deals ranging from $50 million or less up to $100 million.
They work for smaller firms and organizations and their offices are also in specific regions only. Some of the famous Regional Boutique Banks are SunTrust, Wedbush Securities, KeyCorp, Piper Jaffray, and Duff & Phelps.
· Elite Boutique Firms
Elite Boutique Banks resemble Bulge Bracket banks in terms of dollar value which is over $1 billion. They handle smaller deals as well. However, they do not provide all the investment banking services like Bulge Bracket banks and limit their services to handling M&A-related issues.
Their presence is global like Bulge Bracket banks. Most elite boutique banks start as regional boutique banks and through handling bigger and larger deals with prestigious clients they turn up into Elite Boutique banks. Some of the famous Elite Boutique Banks are Lazar LLC, Moelis & Company, and Evercore Group LLC.
Middle-Market investment banks, as the name suggests are in the middle between smaller regional investment banks and bulge bracket banks. They work on deals ranging from about $50 million up to around $500 million.
As the name suggests they are in the middle ground geographically, having a larger scale than regional banks and a smaller scale than bulge bracket banks.
They provide the same services as Bulge Bracket Banks but their geographic pace is smaller. Some of the famous middle-market banks are Cowen Group, William Blair & Co., and Lincoln International. The Investment Banking sector is in high demand and investment bankers are paid extensively high based on their roles and designations.
How Much Does an Investment Banker Earn?
Here is the list of the Top 10 investment banks paying the highest salary ranked by Pay
Centerview- $220,000
Evercore- $210,000
Lazard- $205,000
Rothschild- $198,000
Guggenheim- $190,000
Bank of America-$186,000
Citi- $180,000
Goldman Sachs- $178,000
P.Morgan- $175,000
Morgan Stanley- $170,000
These are the annual salaries of first-year investment analysts including bonuses. Fascinating isn’t it?
Many more reasons to join Investment Banking Courses in London.
Now let us see the Salary structure of an Investment Banker in various positions:
Position
Base Salary
All-In Compensation
1st Year Analyst
£60,000 is the standard
Some give a signing bonus of up to £5,000
£95,000 to £105,000
2nd Year Analyst
£65,000
£100,000 to £125,000
3rd Year Analyst
£70,000
£125,000 to £145,000
Associate
£120,000 to £220,000
£1,95,000
Vice President
£250,000 to £350,000
£3,92,000
Managing Director
£1.1 Million or above
£782,000
Source: wallstreetprep.com
The UK and Europe have been the financial capital cities globally for a long time. They are considered the hub for finance. As investment banking is a huge part of the finance sector and financial institutions there are tremendous scopes for Investment Banker in London. So, Investment Banking Courses in London are high in demand as they offer a decent pay scale to sustain a good life.
Looking for practical-oriented courses with placement? Dig in here:
Top 6 Institutions Offering Investment Banking Courses in London
1. IIM SKILLS
IIM SKILLS has been serving the best training and educational courses to students since 2015. They have trained more than 35000 students across the globe with expert faculties having experience of more than 12 years in their specialized fields.
The courses offered at IIM SKILLS are as follows:
Digital Marketing Master Course
Data Analytics Master Course
Content Writing Master Course
Advanced SEO Course
Financial Modelling Master Course
Investment Banking Master Course
Technical Writing Master Course
GST Practitioner Certification course
Business Accounting & Taxation Course
IIM SKILLS is one of the leading institutes providing Certified Investment Banking Courses in London. Their course structure is entirely based on the latest industry concepts and practices.
Their Investment Banking Master Course Certificate is recognized by the MSME Government of India. They customize courses based on the geographic location of the student. So, any student located anywhere in the globe can learn Investment Banking from IIM SKILLS.
DataTrained is an ed-tech company providing various institutional courses and programs in fields like Data Analytics, Data Science, Investment Banking, Artificial Intelligence, Financial Modelling, Machine Learning, Digital Marketing, and many more.
DataTrained offers Investment Banking Courses in London as a PG Program in Investment Banking and Financial Modelling.
Here you will learn about the most in-demand investment tools, financial technologies, and various approaches to becoming a successful investment banker.
Key Features:
Globally recognized certificate
Weekend classes for the working professionals and weekly classes for the rest
Learning job-relevant skills
8 live case studies and projects assigned
100% career assistance
Classes are taken by trained industry experts
Profile building and interview preparation based on industry standards
Course Structure:
Module 1- Basics of Finance
Module 2- Introduction to Financial Statement
Module 3- Basics of Economics
Module 4- Introduction to Investment Banking
Module 5- Introduction to Financial Modelling and Valuation
Module 6- Basic to Advanced Excel
Module 7- Microsoft PowerPoint
Module 8- Discounted Cash Flow Valuation
Module 9- Cost of Capital
Module 10- Relative Valuation
Module 11- Start-up Valuation
Module 12- Merger & Acquisition
Module 13- Financial Management of Start-Ups
Their top placement partners are Yes Bank, RBS, Axis Bank, Accenture, Infosys, Bank of America, aureus, cognizer, Redington
Duration of the course: 6 Months
Course Fee: £3800
Contact Details:
Phone: +919560084091
Mail: admissions@datatrained.com
Looking for other in-demand courses for career development? Dig in here:
IMARTICUS was started in 2012 and currently, they have trained 10,00,000+ students, they have tie-ups with more than 500+ companies and their placement record is 85%.
The Certified Investment Banking Operations Course at IMARTICUS Learning is for learners with 0-3 years of experience in the finance, commerce, or business fields.
This course will help you transform your career into an investment banking expert or analyst. IMARTICUS investment Banking courses in London help you understand the fundamentals of finance, trade market, trade life-cycle, and risk management.
Key Features:
Extensive career support by taking mock interviews and building resumes.
A certificate recognized by top industries
Learning Job-Specific Skills
Live training by expert faculties
Learning with live projects and solving business problems and case studies designed by expert industry partners
Job Guarantee with full-fledged interview preparations
Course Structure:
Module 1: Introduction to Financial Markets
· Introduction to Investment Banking
· Cash Equities and Fixed Income
· Foreign Exchange and Money Markets
· Derivatives Market
· Job Readiness
Module 2: Trade Life Cycle
· Reference Data Management
· Corporate Actions
· Asset Management
· Reconciliation
· Introduction to ISDA
· Stock, Borrow & Lending
· Collateral Management
· Trade Life Cycle
Module 3: Risk Management
· Risk Management & Regulatory Environment
· Anti-Money Laundering & KYC
· Job Readiness
Duration of the course: 2 months for the weekday batch and 3 months for the weekend batch.
Course Fee: £1328
Contact details:
Phone: +919319746164
Email: info@imarticus.com
It can be paid in two installments
The Certified Investment Banking Course Operation at IMARTICUS is internationally recognized and accredited by CISI. The top recruiting companies at IMARTICUS are Goldman Sachs, RBS, Capgemini, TESCO, TCS, HSBC, KPMG, and UBS.
Is finance your niche? Here are the best courses for you:
The Queen Mary University of London was established by great charitable institutions of London’s East End in 1785. At QMUL you will find students from across many countries globally. QMUL is an established name in the fields of economics, finance, business studies, and various business master courses.
QMUL Investment Banking Courses in London include the study of commercial and investment banking, financial derivatives, risk management, asset management, trading, and mergers & acquisitions.
Investment Banking Courses in London Key Features:
Computer labs with the latest trading software
Learning from visiting city professors and research special experts
Comprehensive learning in the financial sector
Option to choose from a wide range of subjects based on your interest area
One-on-one support with job applications, interviews, and internships
Campus Accommodation for International Students Staying there
Course Structure:
The course structure is as follows:
6 compulsory modules + 5 elective modules+ research project of 2500 words
6 compulsory modules+ 3 elective modules+ dissertation of 7000 words
Compulsory Modules are:
Mergers and Acquisitions
Dissertation
Financial Modelling in Excel
Practical Valuation
Primary Markets and Securities
Leadership, Strategy, and Management of Investment Banking
Foundations of Corporate Finance
Research Project
Elective Modules are:
Financial Derivatives
International Finance
Behavioural Finance
Risk Management for Banking
Asset Management
Principles of Accounting
Bond Market Strategies
Applied Wealth Management
Credit Ratings
Portfolio Construction Theory
Strategic Asset Allocation
Real Estate Finance
Empirical Finance
Private Equity and Venture Capital
Interest Rate Derivatives
Big Data Applications for Finance
Financial Engineering
Statistical Machine Learning in Finance
Fintech
Climate Finance
ESG Investing
Financial Data Analytics
R for Finance
Entry Requirements for Applying:
Degree of graduation in any subject
English Language Proficiency Certificate
Certificate of passing IELTS or other examining institute as per the country
Approved Visas and Immigration
Duration of the course: 1 year
Course Fee: Home-£20,850
Overseas-£28,950
Contact Details:
Phone: +44(0)2078825555
Email: studentrecruitment@qmul.ac.uk
5. University of Hertfordshire
UH has more than 30000 students studying from over 140 countries with high-quality and expert teaching faculties. They have more than 550 career-focused degree options to choose from.
UH’s MSC in Finance and Investment Banking course provides comprehensive and coherent learning in various financial sectors with practical exposure. Their Investment Banking Courses in London include group seminars, web-based resources, statistical software, and working experience to enhance job profiles.
Key Features:
Fast-track option available to complete the course in one academic year than the regular two-year course
Two years complete course includes advanced research and work placement opportunities
Great industry connections with top companies
Providing IT analytical skills to get theoretical and practical exposure
The course structure is as per the standards of the Chartered Financial Analyst Institute(CFA)
Course Structure:
Module 1: Financial Statement Analysis 1
Module 2: Financial Statement Analysis 2
Module 3: Quantitative Analysis
Module 4: Financial Data Analysis
Module 5: Asset Valuation
Module 6: Financial Markets and Institutions
Module7: Economics, Finance, and Banking
Module 8: Dissertation(Msc FIB)
Module 9: Research Methods Msc FIB
Entry Requirements:
Honors Degree (2:2 or equivalent) in the field of economics, banking, finance, engineering, accounting, or mathematics
A professional degree like ACCA, CIMA, CIPFA, CFA, ICAEW, and ICS is given priority
English Language proficiency certificate with an IELTS score of 6.5
Duration of the course: 1 year (Full-Time)
2 years (Part-Time)- Academics+ Working
Course Fee: Full-time -£15450
Part-time -£1290 per 15 credits
Contact Details:
Phone: +44(0)1707284800
Email: ask@herts.ac.uk
6. Bayes Business School
If you are planning to make a successful career in the finance sector their Investment Banking Courses in London is specifically designed for you. Bayes Business School provides practical and strategic learning with the assistance of senior bankers and finance professionals.
Key Features:
Learn from the world’s largest and most highly respected finance professionals
Work experience with academic banking fields.
They have a center for Banking Research where they host seminars, workshops, and events with industry partners.
Course Structure:
Terms
Core Modules
Elective Modules
Term 1
· Global Banking
· Financial Statement Analysis
· Principles of Finance and Valuation
· Data Analytics for Banking and Finance
· Research Methods in Modern Finance
Term 2 ( you have to choose 2 core and 2 elective modules)
· Bank Risk Management
· International Finance
· Corporate Finance
· Fixed Income
· Alternative Investment
· Topics in M&A
Term 3
· Business Research Project and one elective
· Applied Research Project and 3 electives
· Five Electives
· Behavioural Finance
· Ethics, Society, and the Finance Sector
· Financial Crime
· Financial Statement Analysis
· Hedge Funds
· Investment Banking in Corporate Finance
· Mergers & Acquisitions
· Private Equity Investment
· Trading and Market Microstructure.
Bayes Business School’s MSC in Banking and International Finance is recognized by the Chartered Bankers Institute (CBI) and the Institute of Chartered Accountants in England and Wales(ICAEW).
Duration of the course: 1 year
Course Fee: £31,700
Contact Details:
Phone: +44(0)2070408877
Email: bayes-mastera@city.ac.uk
These are the Top 6 institutes providing Investment Banking Courses in London.
Frequently Asked Questions (FAQ) About Investment Banking Courses in London
What are the qualifications required before joining Investment Banking Courses in London?
A bachelor’s degree in finance, economics, accounting, or business is required primarily to join any postgraduate or master’s course in Investment Banking. A keen interest in the finance sector helps you learn the course with full enthusiasm and zeal.
Is Investment Banking a Good Career Option in the UK?
The UK is considered the financial capital city of the world. So, there are ample opportunities for an investment banker in the UK. The top investment banks like JP Morgan, Morgan Stanley, and Goldman Sachs pay an excellent salary to their investment bankers. The average salary of an investment analyst is £30,000 to £40,000 and it increases in millions as per experience and work designations. Also, not just in terms of pay-scale investment banking is a rapidly growing sector in today’s time.
What are the job opportunities available after completing Investment Banking Courses in London?
As an investment banker, you can work as an Investment Banking Associate, Investment Banking Analyst, Investment Banking Trainer, Internal Audit Associate, Executive Financial Assistant, Investment Administrator, Managing Director, Vice-President, and M&A Analyst in any investment bank as per your skills and experience.
We live in a data-driven world where data is now more valuable than ever. With the rise of digitalization, these data are being processed to benefit almost every sector. For the smooth functionality of any business institution, systematic research on corresponding data is conducted by an expert. There are different ways through which this research is carried out by experts or data scientists. Data analytics vs Data mining- the two distinct streams of processing data fall under the same umbrella of Business Intelligence.
Depending on these two methods, a specialist can comprehend valuable data and provide insights to the business organization. Consequently, it helps the business grow by making the right decision in future plans and investments. In this way, when a company becomes assured about its performance in today’s competitive market, it gets a lot of scope in satisfying customers and earning better profit.
Why is It Important to Know the Difference Between Data Analytics and Data Mining?
There’s one similarity between Data analytics vs Data mining- both are parts of Business Intelligence. Other than that, these two have a lot of differences between them. Whereas data mining helps us to understand the pattern of collected information, data analytics goes further to organize that dataset to determine crucial decisions.
The terms Data analytics vs data mining are often used interchangeably, but that is absolutely incorrect. Yes, they are related since data mining is a part of data analytics. The two have different methods and goals.
Data mining, a subset of data analytics, includes tracking patterns, association, classification, detection, etc. Data analytics is a prolonged process that entails statistics, mathematics, and operating systems. Thus the multidisciplinary subject data analytics makes evident use of the findings from data mining.
Therefore, while understanding the minutes of data studies, it is obviously worth understanding the main differences between data analytics and data mining. For a reader who is a novice in this field, both of the topics data analytics vs data mining are individually discussed below for a clear understanding of their differences.
Data Analytics is a broad field of data collection, inspection, and transformation of data to create useful information and discover solutions. This vast field extensively relies on the application of OR (Operations Research), Statistics, and Computer Programming to draw effective conclusions.
With these tools, an analyst gathers valuable information from previous performances; and studies them to establish the most reliable decision. In this era of social media and exclusive usage of search engines, data is spread all over the world.
Honing proper analytical skills, one can dig into this ocean of available information to understand the affinity of the generation.
This results in understanding the customer in every sector, providing them with the best available facilities. Thus a data expert helps you to understand the trends, reveal opportunities, and provide concrete decisions.
Data Analytics comprises many subjects like Machine Learning, Data Science, Applied Statistics, etc. Data Analysis is often confused and misunderstood with Data Analytics.
It should be noted that Data Analysis is one of the subsets of Data Analytics and Data Analysis consists of cleaning, modeling, transforming, and questioning the data.
Data requirement: The first step in the data analytics process is to decide what type of data you need for your analysis and then proceed to gather them.
Data collection: Once you are convinced of your requirement, you have to look for the sources to avail the data. There are various sources like questionnaires, case studies, direct observation, surveys, etc.
Data cleaning: Before sending the data for analysis, it is important to sort out the necessary data. This will clean up duplicate records or data having any kind of error. This is a mandatory step in organizing useful data.
Data analysis: A number of tools and software for data analysis are available in the market to help you process or analyze the relevant information. Some examples of such tools are – Rapid Miner, Chartio, Redash, Metabase, Excel, R, Looker, etc.
Data interpretation: Once the data are processed using the mentioned tools, it is time to interpret the result and move towards making the most solvent decision using that.
Data visualization: Next is the time for presenting the insights graphically so that it is understandable for everyone. It helps people to read the datasets and compare the results with others. Some popular methods of visualization are – graphs, charts, pie charts, maps, bullet points, etc.
Data Mining, also referred to as Knowledge Discovery in Data (KDD) is the process of sorting valuable data from vast data sets. With the help of advanced analytics tools and techniques, help businesses predict future patterns and make the most suitable decisions.
Data mining is an important part of Data Science that uses advanced Data Analytics techniques to transform valuable information into creating business planning and strategy. The information it gathers can also be used in Business Intelligence (BI).
In this way, Data Mining not only scrutinizes the historical data but also examines the currently streaming data. Effective Data Mining supports planning business strategies and implementing them. Beginning with marketing, sales, customer support, advertising, manufacturing, etc, Data Mining aids in operating finance and HR.
Even critical cases like fraud detention, security breaches, and risk management, etc are also benefitted by Data Mining. In this way, Data Mining affects not only business but healthcare, government, sports, etc.
Data Mining techniques basically work on two different levels. On one hand, it describes the target dataset. On the other, it predicts the consequences using a machine learning algorithm. In these ways, it surfaces the most important information, filters, and organizes them to create valuable results.
The task of a data scientist is to identify outliers through regression and classification methods. He or she is responsible for extracting necessary information, and collecting and visualizing data for concrete decision-making of the institution.
Check here the top-ranked data analytics courses to get a high-paying job:
Stored data in a database: This is also called a database management system (DBMS). Every data stored in the database is related. Software programs manage these data and help to access them hassle-free. These data are mainly of three types, e.g., shared, distributed, and concurrent data. All these data are stored securely by the software programs.
Data warehouse: This is a single data storage that gathers data from different sources. The collected data then go through the process of cleaning, integration, loading, and refreshing. After that, the data are stored in a unified plan.
Transactional data: Every single online transaction has a unique ID. For example, flight booking, online shopping, and even a click on a website – all these transactions are stored in the database and help in the data mining process.
Others: There are many other varieties of data, like engineering data, multimedia data, data streams, spatial data, etc.
Process of Data Mining
The complete process of data mining follows the below-mentioned four steps-
Setting of business objectives: This is the foundation of the whole data mining process and is considered the most important one. Business stakeholders should work with the data mining expert to chalk out the main motives and achievable goals of the business. For the data scientist, this can be the hardest part demanding extra time and research to understand the business objectives. After the research, the target should be set by the expert and the same must be sanctioned by the company.
Preparation of data: Once the goal is marked then it becomes easier to chalk out the plan of data mining. The data scientist will then identify the particular information that will be able to answer the pertinent question to the business. These relevant data are then sorted and cleaned. In this step, all types of noises- e.g., missing values, outliers, and duplicates are removed. If the sorted data contains too many dimensions, then it is again calculated and cut down to only useful predictors, otherwise, too many dimensions may slow down the process of achieving accuracy.
Model building and pattern mining: Depending on the nature of the collected data, they are modeled with data relationships, such as correlation, sequential pattern, etc. A deep Learning Algorithm may be implemented in this step.
Evaluation and implementation: The finalized data become ready to be evaluated. If the result meets with the desired output, the dataset is used as a dependable predictor to guide the business with the best knowledge and plan for the future.
Data Analytics Vs Data Mining- the Key Differences Explained
1 Types:
Data analytics is of four distinct types, they are-
Descriptive analytics: This uses historical data and uses simple mathematical tools like spreadsheets.
Predictive analytics: This uses statistical analysis along with Artificial Intelligence to identify possible results.
Diagnostic analytics: Using machine learning, this digs into historical data to understand patterns and correlations (if any) of data.
Prescriptive analytics: This uses machine learning and artificial intelligence to help businesses in ultimate business-making. This is the most complex type of data analytics.
The main types of Data mining are-
Pictorial data mining: This transforms collected heterogeneous data into pictorial presentation. It helps in power plant monitoring, flight control, etc.
Text mining: This extracts high-quality data from different written texts through a computer. Through statistical pattern learning, data is derived from written texts such as websites, reviews, books, etc.
Social media mining: More often than not, this data mining is used in traditional or digital marketing. Valuable data is derived from user-generated content in social media and mobile applications to understand and categorize the user.
Web mining: in this process, useful data is automatically derived from web searches and restored from the World Wide Web. The result is used in e-commerce, content analysis, health care services, etc.
Audio and video mining: Multimedia or audio-visual is very accessible nowadays. From this video, huge data sets are extracted and then applied in the fields of security, entertainment, education, and medicine.
2 Tools:
There is no single tool that can address all data analytics or data mining tasks. If you can find one tool that satisfies most of your needs, there must be a secondary tool for some other tasks left.
The tools essential for data analytics are-
Microsoft Excel, Python, R, Jupiter Notebook, Apache Spark, SAS, Tableau, KNIME, etc.
Let us now highlight the different methods in both data analytics vs data mining-
Some of the most used methods for data analytics are-
Cluster Analytics- This is the process of finding objects of similar groups to form clusters. This algorithm is based on machine- learning and works on unlabelled data. Clustering can be done in different ways, such as – density-based, constraint-based, distribution-based, centroid-based, etc
Cohort Analysis- This is behavioral analytics that categorizes data in a data set into cohorts or groups that share the same traits or behavior. By analyzing, the cohorts can understand well about their attitudes and choices.
Regression Analysis- This method is used to realize the relationship between two or more variables. The result is presented in a graph through independent and dependent variables.
Segmentation Analysis- In this method, users or products are divided into different groups to deliver customized advertising, brand positioning, etc.
Time series Analysis- This method is useful for non-stationary data, that is, data that fluctuates over time. Industries like retail and finance make use of this method.
Data Mining methods are-
Association: In this method of data mining, the co-occurrence of associated items is found in a collection. For example, when a shopper puts different items in a basket, it is possible to recommend some other associated items.
Classification: Through classification, we assign a class label to each item in a dataset. Classification is of two types- binary classification and multi-class classification.
Clustering Analysis: It is the process of grouping similar objects into one cluster. For, at first, the partition of data is made and then the label of the group is assigned according to their distinguishing features.
Prediction: By processing input datasets, the numerical output is generated through an algorithm. Unlike classification, this numerical output does not contain any label.
Decision trees: This structure contains root nodes, branches, and leaf nodes. The internal node denotes tests, the branch denotes the outcome of the test, and the leaf node denotes a class label.
4 Subject-matter expertise:
In data mining the following skills are quintessential-
Knowledge of Linux:
The idea about a programming language:
Knowledge of essential tools:
For data analytics, the below-mentioned prerequisites are needed-
Learning of data visualization tools:
Knowledge of programming language:
Probability:
Econometrics:
Programming language:
5 Hypothesis- testing:
A hypothesis is a supposition made with limited evidence and needs further investigation to be approved.
Data analytics heavily depends on the hypothesis that gives information to be tested. For that matter, it even tests on the results derived from data mining.
The data mining expert does not need to conduct a hypothesis. He comprises the collected data or discoveries in a mathematical or statistical.
6 Skills Required:
The different skills required for data analytics vs data mining are discussed below.
Data analytics skills:
Probability and statistics: These two are the founding pillars of data analytics. Using these skills, an analyst estimates value for further research. The statistical approach is mainly based on probability.
Data visualization: In data analytics, it is very important to visualize the outcome through charts, graphs, etc. This visual representation demonstrates the complicated result in a simpler way so that all the stakeholders understand and can take decisions relying on them. One common visualizing tool is Tableau.
Programming language: There are some very useful programming languages to make the analyst’s task smoother. Beginning with Excel, he can hone his knowledge of programming languages like R, Python, etc.
Econometrics: It is a branch of economics that deals with statistical and mathematical models. With the knowledge of econometrics, the analyst can foresee future trends and make better predictions.
Data Mining skills:
§ Programming language: A set of programming languages used for data mining. They are- JAVA, Matlab, SQL, Python, R, etc. Depending on the dataset one working with, a particular program is selected. However, the most common of them are Python and R.
Data processing frameworks: These frameworks extract insights from large datasets. Some of the most implemented frameworks are Hadoop, Spark, etc.
Operating system: Linux is the most popular OS for the data mining process.
Database knowledge: To process the large dataset, one must have knowledge of Relational databases (SQL, Oracle) and non-relational databases (Document, MongoDB, Cassandra, etc.)
7 Size of the Team:
Data analytics is a lengthy process that usually requires a group of people. This team will ask questions, draw patterns of responses and reach a conclusion. Although machine learning, Artificial Intelligence, etc. are used in this process, the lengthy process requires human involvement.
Data mining can be conducted by a single person also. With the right technological skills and knowledge of software, he will write down the data findings.
Frequently Asked Questions on Data Analytics vs Data Mining
1 Which is more in demand – Data Analytics vs Data Mining?
Data analytics help in making hypotheses whereas data mining makes data useable. So, both of them have different fields of application. As data scientists are currently ruling the world with new-age science and technology, there is a dearth of experts in both. None of the above-discussed streams are conventional stereotypical subjects to have huge competition and lots of competitors. So, one has only to hone their capability to be hired by big companies.
2 In brief, what is the main difference between Data Analytics vs Data Mining?
Data mining is a step in the complicated process of data analytics. This step focuses on scientific and systematic methods of data collection and then, deriving insights from those data. Data analytics goes on further by using those data to create hypotheses and build models on that.
3 Name four main models that are used in Data Analytics.
The four main models for data analytics are –
Descriptive
2 Diagnostic
3 Predictive
4 prescriptive
4 Write about two useful models used in Data Mining.
1 Predictive model / Statistical Regression: As the title says, through this model, data are converted to form predictions about the future performances of the company.
2 Descriptive model: In this model of data mining, data are described in a readable format. It extracts from the stored data and creates reports by monitoring them.
5 Data Analytics vs Data Mining- write some applications of each.
Application of data analytics:
Data analysts can help strengthen security by supplying valuable data on crimes to police. Geographical and historical data analysis of a particular crime-driven area helps in locating such spots and eventually necessary action can be taken.
Application of data mining:
Data mining applications can help in business revenue by investing capital in an efficient way. The sale of a particular item at a particular time of the day can be researched using data mining techniques. The production and availability of that particular item will help in better revenue for the business.
Conclusion: Data Analytics vs Data Mining
With the wide usage of computers research on data has taken a leap. Although the two terms data analytics vs data mining – are often used interchangeably, the above description points out their distinction. On one hand, these differ in implementation. On the other, the experts in the two fields require different skills. With the sheer power of computers, experts are playing with data to explore more in this field. Between data analytics vs data mining, whichever side you may choose, the above details enlighten you to appreciate the importance of the other. The data-driven 21st century needs mindsets with a knack for coding to make a revolution. So, this was the guide to data analytics vs data mining.
In the year 2023, there are approximately 15.14 billion Internet of Things (IoT) devices which are predicted to grow to approximately 41.6 billion by 2025. Thus, one can then imagine the volume of data that would be generated and the demand for data experts to manage it. Thus, the growing demand for Data Analytic experts! Data Analytics Courses are the pathway to generating experts with a competitive edge. In a bid to guide you on the same pathway, here is a brief overview of IIM SKILLS Vs Swayam Data Analytics Course advantages and strong points for your perusal!
Data Analytics Vs Data Science – Differences
A majority of people get confused between Data Science and Data Analytics, mistaking both to be the same. Here is a brief comparison between them to highlight the differences:
Data Science: Data Science is a broad field that deals with studying, understanding patterns and trends, and developing insights for further developments of structured and unstructured data is known as Data Science. Data Analytics, Data Engineering, Modelling, and Data Mining are all a part of Data Science.
Scope: Data Science has a broader scope as it has many disciplines like data analytics, statistics, machine learning, data engineering, computer science, data mining, and modeling.
Problem Solving: Data Science works on arriving at solutions and insights on open ended questions from structured or unstructured large data. Here one applies predictive models, statistics, machine learning, and data mining to understand the trends and patterns and their relationship.
Focus: The focus of Data Science is to develop new techniques, models, and methods to discover trends, patterns, and correlations.
Skills: A Data Scientist needs to know an advanced level of programming, application of machine learning, data mining, Python, C++, Java, and other advanced programming languages.
Analysis: Data Science applies Predictive Analysis to predict future patterns and Prescriptive Analysis to discover insights, which are also based on Data Analytics.
Data Analytics: Data Analytics is the field of identifying trends and patterns mostly from structured data. The objective of this search is aligned with the objective of improved decision-making and enhancement of revenue of any business.
Scope: The scope of Data Analytics is very small as the objective is to find answers to certain specific questions and not explore and experiment.
Problem Solving: In Data Analytics, specific solutions to close-ended specific questions are sought after. They identify trends and patterns from the historical data by applying descriptive analysis to arrive at solutions. These understandings are presented in front of the company members and clients with the help of Data Visualization. The final goal of Data Analytics is assistance in making informed decisions related to the business.
Focus: The focus of Data Analytics is to assist in decision-making and strategy development which would ultimately optimize business processes, and improve performance.
Skills: A Data Analyst should know basic programming, Python, R, and Hadoop.
Analysis: Data Analytics works mainly on Descriptive Analysis performed on historical data to find the trends and variables and a correlation between them.
The IIM SKILLS Vs Swayam Data Analytics Course ensures that the students enrolling for the course are well prepared to take a step further into Data Science if they choose.
Data Analytics has eased the process of making sense of the data that a business can have access to, to make informed decisions. Now, every business has a different objective and goal for the analytics result. Based on this Data Analytics has been divided into different types. In this article, we take a brief look at the types, although you can get a detailed explanation and comparison in IIM Skills Vs Swayam Data Analytics Course. The following types of Data Analytics are prevalent in the industry:
Descriptive Analytics: Analysis is done on the past data of the company with the application of statistical techniques to identify trends and variables. These trends and variables were the reasons for the product, service, and campaign’s success or failure. This analytics sets the base for taking future courses of action. Descriptive Analysis is used as a base for preparing reports and a base for data visualization.
Diagnostic Analytics: As the term suggests, this technique is used to diagnose the anomalies in the data which are the reasons for the loss or profit.
Predictive Analytics: In this technique, data analysts prepare models to predict future events based on past data trends. This type of analytics uses relations between different variables to forecast future events. It is also used for classification.
Prescriptive Analytics: Data Analytic experts generally use this technique to measure the impact of the patterns and variables to forecast future events and based on that prescribe the best course of action to be taken. It also involves the use of machine learning, complex computational modeling, statistics, and high-end algorithm. The results help in taking informed decisions for the company with the objective of cost optimization and profit enhancement.
Text Analytics: This technique uses machine learning, linguistics, and statistics to work on raw data comprising text. This is generally used to analyze product performance, customer behavior, and opinions.
Spatial Analytics: The raw data of this type comprises geographic and location-based data. It uncovers patterns related to geographic features like disaster warnings, urban planning, astronomy, and health care.
Time Series Analytics: The raw data in this type of Analytics is covered at definite time intervals, measured over a long-time span. It captures the trends relating to changes in trends over a period of time. Structured data is a must for this. It is used for forecasting weather changes, stock price trends, and many others.
Web Analytics: This type of analytics is used for digital marketing to analyze customer behavior on websites. It is part of Customer Relationship Management and tracks, reviews, and analyzes their behavior related. The results are used to make informed decisions when promoting a product or service and optimizing the marketing costs.
Social Media Analytics: As the heading suggests, the data to be worked on is taken from the likes, dislikes, previews, retweets, and clicks of customers on social media. It works on predicting the sentiments of the customer related to a brand and its products and the influence of campaigns and innovations on customers.
Methods in Data Analytics
This section gives the prospective students a measure to compare IIM Skills Vs Swayam Data Analytics Course, based on the inclusion of the methods used in Data Analytics:
Regression Analysis: In this method the relation between a dependent variable is measured with independent variable/s. The goal is to analyze the factors influencing the dependent variables and the interaction of it with other factors. It is generally used to envision the price of a product and the factors influencing it.
Descriptive Analysis: In this method with the use of mean, median, mode, standard deviations, and other statistical methods the events are analyzed from the past data and forecast their impact on future events.
Factor Analysis: The method is used to find out common patterns which are known as factors. These factors can generally go unnoticed, thus, to reduce the set of variables in a data and to analyze the hidden trends this method is used.
Inferential Analytics: When the population for analysis is huge, then analysts use a smaller set as the representative and make inferences based on the results of it.
Time Series Analytics: The most commonly used method in this is Autoregressive Integrated Moving Average (ARIMA). In this method, certain time points in a long span of time period of data are set to configure the patterns.
Cluster Analysis: In this method from the raw data set groups are made depending on the similarity in following trends and patterns. They occur naturally and are not predefined. This helps in managing the data set more efficiently.
Machine Learning: In this method, Artificial Intelligence is used predominantly to build algorithm models for analyzing data. The clustering, classification, and detection of variables is done with minimum human intervention.
Natural Language Processing (NLP): When the data is in the form of spoken, written, and text responses then to analyze this set Natural Language Processing method is applied. The data set is the response of customers towards a product, service, and any event.
Principal Component Analysis: In this method, the larger dimensional data set variables are converted into smaller dimensional datasets, while keeping the original variance preserved. This is the most popular method used for Multivariate Data Analytics.
A/B Testing: In this method, two variables are compared to check which performs better on a given metric. It is the most prevalent method used to improve web marketing strategies.
A Data Analytics Course gives a student the opportunity to learn the latest methods and practices which are currently used in the industries. The IIM Skills Vs Swayam Data Analytics Course is a testimony to the same, which an individual can have a brief look at from the details given in this section.
Brief Overview of IIM Skills and SWAYAM:
Before indulging in the IIM Skills Vs SWAYAM Data Analytics Course details, let’s have a look at both institutions:
IIM SKILLS:
IIM SKILLS was started in 2015 by Vaibhav Kakkar as an ed-tech website with its first Content Writing course. The program garnered major success and almost had 1 million views, which led to the foundation of other successful training courses in finance, data science, marketing, content writing, and other multiple domains. A strong group of more than 120 expert trainers has to date trained more than 35000 students. The institute has marked its presence in 23 cities not only in India but in Dubai and Singapore too.
Study Webs of Active Learning for Young Aspiring Minds or Swayam is a Government of India initiative which started on 9th July 2017 and was launched by former President Shri Pranab Mukherjee. The motive behind this learning platform was to provide education to everyone, anywhere and anytime. There are approximately 2150 courses conducted on the platform in more than 5 local languages. The courses are in subjects for students starting from class 9th till Post Graduation. The SWAYAM Massive Open Online Courses are available globally. SWAYAM PRABHA is the educational DTH Channel which the body started in 2017 with many courses recorded on various subjects.
IIM SKILLS Vs SWAYAM Data Analytics Course Details:
The details of IIM SKILLS Vs SWAYAM Data Analytics course, fees, and eligibility criteria are as follows:
IIM SKILLS
SWAYAM
Duration
6 months
3 months
Mode
Online
Online
Fees
Rs.49900
Course is free of cost.
Eligibility Criteria
Bachelor’s Degree
Knowledge of mathematics, statistics, and computers
Bachelor’s Degree
Knowledge of mathematics, statistics, and computers
IIM SKILLS Vs SWAYAM Data Analytics Course Curriculum:
Before one decided to enroll in any Data Analytics course it is very important to do a thorough research about the course contents and credibility of the institution, as the final certificate of completion is a steppingstone for the students in the business world. Here is a brief overview of the syllabus of IIM Skills Vs Swayam Data Analytics Course to get a better idea of what will be taught during the training period.
IIM SKILLS
SWAYAM
Data Analytics Using Advance Excel:
Introduction to Data Handling
Data Visualization in Excel
Data Manipulation Using Functions
Data Analysis and Reporting
Overview of Dashboards
Create Dashboards in Excel- Using Pivot Control
Introduction to Data Analytics and Python Fundamentals
Data Analytics Using VBA
Introducing VBA
Key Components of Programming Language
How VBA works with Excel
Programming constructs in VBA
Functions and Procedures in VBA
Objects and Memory Management in VBA
Communicating with your Users
Introduction to Probability
Data Analytics Using SQL
Basic RDBMS Concepts
Utilising the Object Explorer
Data Based Objects Creation(DDL Commands)
Data Manipulation (DML Commands)
SQL Server Reporting Services
SQL Server Integration
Sampling and Samplinbg Distributions
Data Analytics Using Power BI
Introduction
Data Preparation and Modelling
Adding and Deleting Rows, add and remove Go to Columns
Data Analysis Expressions (DAX)_
Reports Development (Visuals in Power BI)
Hypothesis Testing
Data Analytics Using Python 1
Introduction to Basic Statistics
Introduction to Mathematical Foundation
Introduction to Analytics and Data Science
Python Essentials (Core)
Operations with NumPy
Overview of Pandas
Cleansing Data with Python
Two Sample Testing and Introduction to ANOVA
Data Analytics Using Python 2
Data Analytics Using Python
Basic Visualization Tools
Visualization Geospatial Data
Data Visualization with Python
Advanced Visualization Tools
Statistical Methods and Hypothesis Testing
Two Way ANOVA and Linear Regression
Data Analytics Using TABLEAU
Introduction
Data Handling and Summaries
Building Advanced Reports/Maps
Table Calculations
Calculated Fields
Linear Regression and Multiple Regression
R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Data Visualization with R
Using R with Database
Introduction to Statistics
Linear Regression
Testing
Concepts of MLE and Logistic Regression
Data Analytics Using Alteryx
ROC and Regression Analysis Model Building
C2 Test and Introduction to Cluster Analysis
Clustering Analysis
Classification and Regression tree
IIM SKILLS Vs SWAYAM Data Analytics Course Features:
The final factor in choosing a course is the advantages and strength of the course over the courses provided by other institutions. To assist students in making their choice, here is a list of strengths of the IIM SKILLS Vs SWAYAM Data Analytics Course:
The training includes 10 case studies and 7 live projects with renowned industries.
Post completing the training, students have the option of joining a 2-month internship program with the institute. The students get practical knowledge in the class, and assistance with problem-solving. This ensures that the students are well prepared for further job placements.
Since the trainers and mentors are industry experts, students have the opportunity to interact with the live and have doubt solving and guidance sessions.
The students are given lifetime access to the Learning Management System (LMS) which is stored all the course material, video recordings, and all recordings of the tool usage instructions.
The institute offers 100% assistance in resume building, soft skills building, and full placement support.
Swayam: the Main Features of This Government Run Platform Are as Follows:
The course is conducted in partnership with the Indian Institute of Technology Roorkee, which is a well renowned Engineering College, currently ranking at 8th position in India.
The Data Analytics application are the ones that are used currently in the industry.
The course teaches the application of Data Analytics in the workplace and also in life too.
The course is approved by AICTE.
The National Coordinators of the course are National Program of Technology Enhanced Learning (NPEL), All India Council for Technical Education (AICTE), University Grants Commision (UGC), National Institute of Open Schooling (NIOUS), Indira Gandhi National Open University (IGNOU), Indian Institute of Management Bangalore, Consortium for Educational Communication (CEC), and NITTR.
The students can learn at their own pace and convenient time.
The students have to build analytical models from scratch on their own thus, giving them hands on experience.
IIM SKILLS Vs SWAYAM Data Analytics Course Certificate:
As the certificate awarded after the completion of the course bears the organizations and bodies accrediting them, thus, it is very important to ascertain before deciding to join any course. IIM SKILLS Vs SWAYAM Data Analytics Course offers certificates that have the following organizations accrediting it:
The certificate awarded by IIM Skills after the course is accredited by MSME and CDAM government institutions.
SWAYAM being a government body is governed by the Ministry of Education and approved by AICTE. Any student who wishes to get a certificate has to pay Rs.1000 and appear for an evaluation test. Once the student clears the test, the certificate is awarded to him/her.
IIM SKILLS Vs SWAYAM Data Analytics Course Website:
To sum up this article in brief, Data Analytics has revolutionized the world with its ability to find out hidden trends and patterns that companies were not able to figure out. Business Intelligence was coined after the innovation of the methods of Data Analytics. There has been a significant rise in the Internet of Things(IoT) devices, which are helping businesses track trends and patterns in vast areas, leading to a number of new innovations and developments. With this growing demand for Data Analytics, parallelly is the growth for Data Analytics Experts also growing. Any aspiring candidate with the help of credible training can get an edge over the others in this highly competitive field.
IIM Skills has taken the forefront in this field with its comprehensive, extensive curriculum and experts as mentors and trainers. The course material is versatile, practical, and in alignment with industry practices. The practical approach helps the students be well prepared for the challenges in the Data Analytics field.
SWAYAM on the other hand offers courses that are free, the training is self paced and is accessible wherever and whenever it is convenient for the learners. The credibility of the institute is evident from the fact that it is governed by nine government educational bodies.
Finally the decision of choosing lies with the individual’s preference, affordability, and convenience. As both the institutes have excellent trainers imparting training, the students can be well assured that their future is in secure hands.
FAQs
Q. What is Data Analytics and why is it important in today’s world?
Data Analytics is a field of science that collects raw data and studies trends and patterns to come to meaningful conclusions related to past events and forecasting. In today’s business scenario, Data Analytics has helped to arrive at results in real time which reduces the time to make informed decisions, that directly are related to cost optimization and enhancement of profit. Data Analytics has been means of innovation in various fields and the discovery of new business opportunities.
Q. What soft skills are required to become a Data Analyst?
To become a successful Data Analyst, one should have an affinity for mathematics, statistics and a keen interest in computers. As the field requires identifying trends and patterns, one should develop the skill of giving attention to fine details. Along with good communication skills, an aspiring data analyst should also be creative.
Q. What are the career opportunities after completing a Data Analytics Course?
Data Analytics is being adopted by many industries like finance, healthcare, telecommunication, retail, manufacturing, and other industries. Thus, there are ample job opportunities available. A fresher may join as a data analyst, business analyst, or a marketing analyst.
Investment banking is essential to the global economy. It assists in providing financial support, offers advice about mergers, acquisitions, and restructuring and additionally, it could oversee corporate IPOs. For example, there are well-known investment banks around the world such as Morgan Stanley, JPMorgan Chase, Goldman Sachs, and Citigroup. Are you interested in learning investment banking and wondering what are the investment banking course fees in India? This article is for you.
Investment banking is a financial organization that helps in raising capital and gives financial support to the government, corporate sector, public sector, and those who wish to grow their business and earn profit.
Content
What is Investment Banking?
Why Investment Banking?
Role of Investment Banker.
Career in Investment Banking.
Time Required to become an investment banker.
Qualification.
List of College with investment banking course fees structure
7.1 IIM SKILLS
7.2 Imarticus learning
7.3 Corporate Finance Institute
7.4 Udemy
7.5 BSE institute
7.6 JBIMS Mumbai
7.7 NSE
7.8 The Wall Street School
7.9 Symbiosis for Distant Learning
Best Position After Investment Banking Course
Investment Banker Skills
How much does Investment Banker Reap
Top Recruiter
Conclusion
FAQs
Why Investment Banking?
This can be a perplexing question for the one who is looking for these opportunities to build a career in banking and finance. With the growing demand in banking, the corporate sector, and the finance sector or you could say because of globalization, the need for investment bankers is highly in demand.
One gains exposure to raising capital, engaging with clients, learning risk management, working in a fast-paced environment, learning about equity, how transactions work, developing advanced communication skills, developing critical thinking, and how marketing and evaluation work, the fastest way of learning advanced Excel, valuation, and dealing with complex financial models.
Investment bankers assist huge groups of projects, the government, the public who want to grow businesses, and private corporations, and also manage risk related to projects before initiatives move forward. These banks serve as a mediator between potential investors and companies looking for funding.
These banks buy securities from various parties and sell them to interested buyers, maintaining the market’s activity and effectiveness. The reputation of the banks, however, is quite important in luring more and more investors to a project.
CAREER IN INVESTMENT BANKING
A career in investment banking is a fantastic opportunity for those interested in the financial sector. These are generally related to obtaining funds for the corporate sector, government, municipalities, and individuals who seek to expand and profit from their businesses.
To work at an investment bank, one must have an extensive understanding of finance and be willing to commit to a long-term process.
Eligibility Criteria:
At least one should have a bachelor’s degree in economics, finance, business, or accounting. After that one can pursue a master’s or post-graduation degree, but it is preferable to do MBA. One who is looking for post-graduation needs to clear college entrance exams If wish to do a full-time post-graduation or master’s course.
There is a list of a few examinations which you can give after your 10+2. These exams are state-level or national-level competitive exams such as
State Eligibility Test (SET), Common Entrance Test (CET), or Delhi University Joint Admission Test (DUJAT).
To gain admission to an MBA one has to clear exams like the Common Admission Test (CAT), Xavier Aptitude Test (XAT) or Symbiosis National Aptitude Test (SNAP)
To Acquire a doctorate degree that is Ph.D. in banking or finance, one has to pass a postgraduation minimum with 50% marks and also they have to clear competitive exams such as UGC NET and the CSIR UGC NET. This may hold a total of 3-4 years of course. This course may include marketing assets, the microstructure of the market, business research, and finance research.
One can go for a diploma or certified course after that you can look for an internship. After all this process one applies for the job and cracks the interview in any finance and banking firm.
Time required to become an investment banker in India
Overall, becoming an investment banker may take 7-8 years. Following the completion of your 10+12th board exams, you must pursue a bachelor’s degree, which may take 3-4 years, after which you can pursue a post-graduate or master’s degree, which will take another 2 years. Furthermore, if somebody wishes to pursue a doctorate or an internship, this can take an additional two years.
Find here the top-ranked investment banking courses for career advancement:
What Qualifications are Required to Become an Investment Banker in India After the 12th?
Clear 12th Board examination:
For the post of investment banker, a candidate must have finished upper secondary school (10+2) with a minimum overall grade point average of 50% or an equivalent CGPA from a recognized board. These candidates may come from any sector, including the arts, commerce, or sciences. Qualifying for their 12th board examination is a must to pursue further degrees and courses.
Obtain a bachelor’s degree in any field.
To work at an investment bank, one must have earned a bachelor’s degree from their chosen university. They must possess a bachelor’s degree in business administration (BBA), economics (B.A.), finance (B.A.), or commerce (B.com). Taking a finance course may improve your chances of getting a job in an investment bank.
Master’s degree
A master’s degree in finance or business administration provides excellent preparation for a career as an investment banker.
List of College with Investment Banking Course Fees Structure:
#Rank 1 Investment Banking course fees
1. IIM SKILLS
If you are looking for online investment banking courses and investment banking course fees and duration, here is one of the top-ranking institutes for you that offers a 3-month exclusive investment banking master’s course. This Online course provides great privileges for you.
You will have access to all the basic requirements that an institute must offer. Lifetime access to tools, recordings, study material, and quality training.
Imarticus Learning is an online platform for those who wish to build a career in investment banking. This online institute was established in 2014. They believe in well-experienced mentors and expertise. This course is available online on weekdays and weekends with recorded sessions. Overall, this course is for 150 hours of live training.
More than 500 companies have ties with this institute. They offer you a 100% job guarantee and placement. Once you have completed this course, you will be able to perform well as an investment banking associate, capital market association consultant, financial consultant, executive director in clearing services, anti-money laundering specialist, and many more.
After completion of this course, you will earn a professional certificate that will help you advance your career in the right direction.
Corporate Finance Institute is an Indian-based online institute formed in 2013 with over ten years of real training experience. Financial modeling and investment banking are among the courses available.
Candidates interested in investment banking might take a look at this website. This course is available in the form of classrooms or live online classes with recorded sessions.
Study materials are provided after the completion of each session. They emphasize practical experience and provide various projects for practice. Also, they help with CV building and take a separate session on how to crack the interview. This institute offers you a 100% job guarantee and placements.
Generally, they start their placement activities after the 8th week of completion of the course. After completion of this, you will be able to execute a variety of activities such as investment bank analysis, financial advisory, equity analysis and research, and financial modeling.
Udemy is an online e-learning platform. Students looking for investment banking courses can go through this website. Udemy facilitates numerous courses. There are multiple videos on this course available.
One has to log in and register on their website or through the application. In the search box, one can search for the course they are looking for. Once completed, you will get a list of courses with their duration and fees.
One can enroll or subscribe to the course. Every course duration and fee structure are different. The most rated and subscribed course is 13 hours long with 20 sections and 210 lectures. The course covers all the areas and topics from start to end. Introducing four main areas of investment the course will delve deeper covering all topics one is seeking for.
The best feature to notice is that the course will train so effectively that one can learn different valuation techniques used by reputed banks such as JP Morgan, Goldman Sachs, and Morgan Stanley.
The course will provide a completion certificate. The course is highly interactive and hands-on experience with a number of articles and projects included. The best part of this course is that it is available in different languages. One can compute from any location in the country.
The Bombay Stock Exchange Institute provides this course. Students learn various comprehensive terms such as capital market, financial analysis, equity research, and fund management. Although they provide numerous courses, the investment banking course is the most popular course offered by them.
This is one of the best sites to go to for an investment banking course if you are looking for one.
FEES: INR 68,000
DURATION: 7-8 months session
PLACEMENT: Campus placement is provided by various financial institutes and banking firms to help students find jobs and connect with employers.
CERTIFICATE: Certificate is issued after completion
#Rank 6 Investment Banking course fees
6. JBIMS Mumbai
Jamnalal Bajaj Institute of Management Studies is one of the most prestigious and renowned institutes for finance and investment banking courses. This is the leading institute available for this course in Mumbai.
The course basically provides the master’s program, which is a full-time, 2-year program. The course is divided into four semesters and has a total intake of 125 students.
The campus placement provided by them is quite impressive, various firms and institutes collaborate with them to provide jobs to students in India as well as overseas. The average package offered by them is around 20-23 LPA.
FEES: Around 8 Lakh
DURATION: 2-year full-time course
PLACEMENT: 100% Placement guarantee.
CERTIFICATE: The master’s certificate is issued after the completion of the program from the University of Mumbai.
#Rank 7 Investment Banking course fees
7. NSE Academy
The NSE offers you a post-graduation certificate in management in investment banking. Aspiring candidates looking for this course should visit the platform. This is a full-time 12-month program with 3 months of corporate internship.
Highly trained subject matter experts will lead this program. The course is designed in a format where candidates will learn about financial marketing and investment banking.
This course is grouped into 4 terms. Each term is for 3 months. This 12-month course has covered all the topics and points after this you will know about financial evaluation and modeling, equity research, capital market operation, business in the global market, Taxation, and money laundering.
Course fee: 5,90,000 INR
Duration: 12 months (4 terms)
Internship: 3 months
Certificate: Digital certificate provided
#Rank 8 Investment Banking course fees
8. The Wall Street School
Wall street school is an online course provided to meet the expectations of candidates looking for investment banking. They believe in providing hands-on training to candidates. This program is designed in ten modules. This course is divided into a 6-week full-time training program or a 2.5-month course.
For 6 weeks course:
Hours: 180 HOURS
FEES: 45,000 INR+ GST
TIME: MON-FRI 9 AM to 3 PM
For 2.5 month course;
Hours: 120 HOURS
FEES: 42,000 INR +GST
TIME: SAT-SUN 9 AM TO 2:30 PM
PLACEMENT: Generally, placement begins in the 8th week of the program. The candidate who cracks an interview is charged 75000 as placement selection fees once the candidate gets placed by them and accepts the offer letter.
#Rank 9 Investment Banking course fees
9. Symbiosis Centre for Distance Learning
SCDL is an online institute that offers you post-graduation in finance and banking. This course provides you with in-depth coverage of finance and baking aspects. This course will help you have a scope in banking and financial firms.
The course covers all the fundamental topics that will prepare you for your career and job. Information Technology classes are also given. This is a two-year online program. Every session recording is provided.
FEES: 58,000 INR (EMI OPTION AVAILABLE 6,111/MONTH)
DURATION: 2-year course
PLACEMENT: Offered
CERTIFICATE: Digital certificate provided.
Best Position After Investment Banking Course:
Once you have completed this course, there are several opportunities for you to do this job. In the last few years, it has been seen that several youths are flocking to this course to build their careers professionally and personally because of globalization. Undoubtedly, the course required high skill and knowledge in finance and marketing, but once you have entered this field with experience, you may earn a lot of money.
One can work as an
Analyst,
Junior Managing Director,
Senior Managing Director,
Client Associate,
Financial Advisor,
Equity Associate and many more posts.
Investment Banker Skills:
The investment banker has to deal with several clients and work for a variety of reputed firms. Holding a degree and certificate is not enough to become an investment banker. The following is a list of skills investment bankers should possess:
Strong communication skills: To succeed in the market, one has to have strong communication skills to deal with investors and clients. Your ideas and thoughts should be able to be delivered to the client effectively and precisely.
Problem-solving skill: The banker has to be creative and intelligent. They have to deal with many problems, but they should know how to handle and solve them at the lowest possible cost. It is a high-profile job that requires analytical, mathematical, and critical thinking skills that are needed and gained through years of experience and learning.
Time Management: There is a target for every task and project. Proper time management is good quality, as they have to deal with a project and manage it on a given schedule.
Good leadership qualities: Management and good leadership qualities are key factors for an investment banker. Binding the team and playing a positive role is important. Although you are a junior, you should know how to handle business segments in all areas.
Flexibility: Investment banking is a long, hectic job that one has to do. They have to be stout-hearted towards the work. Bouncing back from a difficult situation is not a positive indicator for a professional worker. One should have the mindset that one will have to work long hours and confront many challenges.
How much do Investment bankers Reap?
Earnings for Investment bankers vary depending on company to company, the experience they possess, and the Qualifications they have pursued. Here is the list of salaries earned by bankers:
Pay Structure in India:
Companies wise:
Wipro 6-7 LPA
Accenture 80T-89T/month
JP Morgan 21 LPA
IBM 7 LPA
HSBC 11 LPA
Barclays 13 LPA
Qualification Wise:
Post Graduation Degree 88 LPA
Undergraduate Degree 9 LPA
Diploma 5-6 LPA
Certificate Courses 4 LPA
Position Wise:
Vice President 70 LPA
Director 35 LPA
Analyst 20 LPA
Associate 9 LPA
Top recruiter:
There are various firms that hire investment bankers for them. they are top-rated companies that provide a wonderful experience, incentives, packages, a decent work environment, bonuses, and also overtime remuneration.
Q-1 Can I do an investment banking course after my B.sc?
Answer: Yes, B.sc you can pursue MBA, diploma, or any certified course.
Q-2 What is the demand for this course?
Answer: It is a highly demanding course in all firms, every financial industry, and banking institute needs high-profile skilled investment bankers in their institute.
Q-3 What is the salary in India?
Answer: Salary and package vary from company to company and the experience you have. It is around 12- 10 LPA
Q-4 Which course is more feasible to do this course?
Answer: One can do a diploma, BA in finance, or MBA in Finance
Q-5 Who earns more CA or Investment banker?
Answer: As per the sources Investment banker earn more than CA per annum.
Q-6 How much are the investment banking course fees in India?
Answer: It depends on the mode and duration of the course you take. Average fees range from INR 5,000 – INR 3 Lakhs
Conclusion:
Investing banking is a high-profile job, as you can see this job is not for everyone. Skill and trained professionals can only do this job. The role of bankers is to help investors and clients, manage financial records, and help the government and public or corporate to raise money. Dealing with long hectic jobs is not easy. But, the perk offered is quite decent to work under any firm. The experience and learning will change you as a person. The entire article will help you to choose if this career is right for you or not. Every topic will be informative and will almost certainly clear your doubts.
Do you want to start a career in data analytics? If questions such as, you haven’t worked in this field or you have a different education background are holding you back, then you can go for data analytics courses. Even the majority of firms in existence today depend on data analysts and experts are growing more concerned about the skills gap in the industry. here is a detailed analysis and review on the IIM SKILLS vs. Simplilearn Data Analytics Course.
Now the question is: Which data analytics certification programs you should consider for your better career path in the data analytics field? To help you with that, in this article, we have provided how to start a career in data analytics as well as comparative detail of the best IIM SKILLS vs. Simplilearn Data Analytics Course.
What is Data Analytics?
The study of examining raw data to conclude such information is known as data analytics. Many data analytics methods and procedures have been transferred into machinery techniques that operate on unprocessed information for the benefit of humans.
Data analytics may help a business boost efficiency, optimize profit or make more strategic decisions.
Data analytics may take many different forms, such as examining what occurred (descriptive analytics), why something occurred (diagnostic analytics), what will occur in the future (predictive analytics), or what should be done next (prescriptive analytics).
For the most extensive data manipulation, data analytics relies on some software tools, including data mining applications, spreadsheets, open-source languages data visualization, and reporting tools.
How to Start a Career in Data Analytics?
We have explained how to start from zero as a data analyst below.
Although some of the information will still apply to individuals who have some of the basic knowledge already, most of it is written with the assumption that you are new to this field.
It mostly depends on the individual how long it takes to become an analyst. The skills may be mastered in a few months by those with some prior knowledge and expertise. Others will need to spend several years of study.
However, in order to succeed in the field, you’ll need several things, such as
Data-driven innate curiosity
Crucial programming languages and skills
A list of relevant projects to build a portfolio.
An appropriate resume
Impressive profiles on LinkedIn and other social sites
Networking with other Data experts
To Achieve All of These Things You Have to Get Qualified in Data Analytics
Most companies will want to see a validation of your data analysis credentials. There are several ways to do this, and a lot of them depend on your knowledge of the subject as well as your degree of education.
For instance, some colleges provide bachelor’s degrees and master’s degrees in data analysis, however choosing this program will demand a significant time and money whereas full-time education will require 3 to 5 years.
Although, to work in this industry and to become a data analyst, you don’t need a full degree, it can be quite beneficial.
But the easiest way to approach all of the listed things above is through project-based online certification courses.
If you have a computer and access to the internet, learning online allows you the freedom to study from any location in the world. Additionally, completing an online program is far less expensive and appropriate than attending a university.
It is the most adaptable way to start a career in it. In fact, you can get your data analytics certification and finish your data analytics career track in less than a year.
The best online self-study or live courses from reputable institution offers a comprehensive, more diverse curriculum that covers the most crucial data analytics concepts and techniques as well as lots of opportunity for hands-on learning.
When Selecting a Course, Keep the Following List in Mind
An industry-relevant curriculum
Industry expert faculty
Case studies and live projects that help to build your portfolio.
A completion certificate.
Focus on career guidance and interview preparation.
Placement assistant
We have chosen the best ones that provide an outstanding data analytics course with all of the criteria listed above. Both the reputable institutions that is IIM SKILLS and Simplilearn have their way to deliver the course.
We have given the in-depth details of both of the IIM SKILLS vs. Simplilearn data analytics courses comparatively.
About IIM SKILLS
IIM SKILLS was established by Mr. Vaibhav Kakkar and is one of the top leading institutions since 2015. With more than 12+ years of expertise, IIM SKILLS have created innovative and real-world digital education that has benefited more than 35,000 alumni from over 35+ countries across the world and some of the large worldwide network of 350+ job partners.
They provide 100% online education programs in different fields, such as writing programs, finance programs, marketing programs, analytics programs and even training for competitive exams.
Their skill development courses are beginner friendly and excellent for anybody who wants to start their career or wants to shift their career in the industry, even if you have prior experience or not.
Industry expert faculty will provide you with ongoing support so that you may successfully and swiftly complete each module or solve any queries you have while doing the course.
After successfully completing every course, IIM SKILLS will help you to make your professional path through their placement assistance services. They provide guaranteed internships, career guidance, interview preparation, resume building, and job suggestions.
Overview of IIM SKILLS Data Analytics Master Course
IIM SKILLS’ Data Analytics Master Course is a six-month exclusive program excluding a two-month internship guarantee. Their comprehensive learning includes 9 modules with 150+ hour lecture sessions and 100+ hours of practical assignments. Additionally, you can also choose a single module as per your requirements that you want to learn.
This professional course includes 7+ live projects and 10+ case studies with 7+ tools to give you hands-on practice. They provide an optional two-month non-paid internship to help you apply your learning into practice and make you get ready for the industry. Their dedicated placement cell team gives 100+ assured interviews after completion of the course.
This program can assist newcomers and recent graduates in breaking into the data analytics field as their curriculum covers basic to advanced concepts. Therefore, this training also helps anyone wishing to make a change in their career in the data analysis field, even professionals working in this field can also upskill themselves through this course.
About Simplilearn
Simplilearn is an online learning platform established by Krishna Kumar in 2010.
Online certification courses, master’s programs, job-oriented programs, and other post-graduate credentials in subjects including, cyber security, digital marketing, business analytics, cloud computing, project management, and artificial intelligence are available on the Simplilearn website.
In order to provide online courses that equip students with useful tech and business skills, Simplilearn has worked with top international organizations including Purdue University, Caltech, Microsoft, International Institute of Business Analysis (IIBA), and Amazon Web Services (AWS).
They also provide self-paced courses and boot camps that are suitable for both students and professionals. The interactive projects and sessions on the courses keep students interested.
Additionally, they also provide free courses, the same content as the paid ones, and free material access for only 90 days.
Overview of Simplilearn Data Analytics Course
Simplilearn’s Professional Certificate Course in Data Analytics is an 11-month intensive that covers 6 modules including elective subjects. Simplilearn and the E&ICT academy at IIT Kanpur have collaborated to deliver this program.
Their efforts are focused on helping people acquire the skills they need to thrive in the digital economy. This online boot camp comprises live online classes from industry experts, projects, case studies, 24×7 support, and industry master classes delivered by IIT Kanpur faculty.
All of these services including 12+ hands-on projects and 3 case studies offers learners the best chance to succeed in the professional world.
IIM SKILLS vs. Simplilearn Data Analytics Course: Eligibility Criteria
IIM SKILLS
Simplilearn
A bachelor’s degree in any field
Basic expertise in computers and technology
It may be beneficial to have prior knowledge of mathematics and statistics, but it is not mandatory.
A bachelor’s degree with an average grade of at least 50% or more
No requirements for prior work experience
May have a background in programming or not
IIM SKILLS vs. Simplilearn Data Analytics Course: Duration of the Course
IIM SKILLS
Simplilearn
6 Months
11 Months
IIM SKILLS vs. Simplilearn Data Analytics Course: Mode of Learning
IIM SKILLS
Simplilearn
Live Online Classes
Every Saturday-Sunday
From 10 AM to 1 PM (IST)
Live Online Classes
Regular classes on Saturday-Sunday
From 7 PM to 11 PM (IST)
IIM SKILLS vs. Simplilearn Data Analytics Course: Fees of the Course
IIM SKILLS
Simplilearn
Rs.49,900 + taxes
Rs.19,900 + taxes (for any single module)
There’s a 100% money-back guarantee if you don’t like the course after the first session you can claim your money.
There’s a 10% discount for 3 or more enrolling.
Rs.1,15,050 (Inc. Taxes)
IIM SKILLS vs. Simplilearn Data Analytics Course: Best For
IIM SKILLS
Simplilearn
While ambitious professionals with an analytical mindset from various educational backgrounds can become the finest candidates for pursuing the data analytics course.
But IIM SKILLS thinks if you want to breakthrough in the profession through their data analytics course then everyone can take this including,
Fresh Graduates
UG/PG Students
IT Professionals
Banking and Finance Professionals
Sales Professionals
Marketing Managers
Supply Chain Network Managers
This course is designed for recent graduates in any field as well as working professionals with experience in both programming and non-programming.
This program is open to students with an analytical mindset from any educational background, including:
IT Professionals
Banking and Finance Experts
Marketing Managers
Engineers
Analysts
Consultants
Domain Specialist
Supply Chain Network Managers
IIM SKILLS vs. Simplilearn Data Analytics Course: Learning Materials and Access
IIM SKILLS
Simplilearn
Lifetime Access
One Year Access
You will get lifetime access to the pre-session study material, recorded lectures, and other learning resources through their Learning Management System (LMS).
There’s no limitation on the number of views and times.
They provide the learner unlimited access to their eLearning content on Simplilearn’s website for 1 year.
IIM SKILLS vs. Simplilearn Data Analytics Course: Curriculum
IIM SKILLS Course Curriculum
Modules
Topics Covered
1)
Data Analytics Using Advance Excel
Introduction to Data Handling
Data Visualization in Excel
Data Manipulation Using Functions
Data Analysis and Reporting
Overview of Dashboards
Create Dashboards in Excel- Using Pivot Controls
2)
Data Analytics Using VBA
Introducing VBA
Key Components of Programming Language
How VBA Works With Excel
Programming Constructs in VBA
Procedures and Functions in VBA – Modularizing Your Programs
Objects and Memory Management in VBA
Communicating With Your Users
Others
3)
Data Analytics Using SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
SQL Server Reporting Services
SQL Server Integration Services
Other
4)
Data Analytics Using Power BI
Introduction
Data Preparation and Modelling
Keep and Remove Rows, Go to Columns, and Add, Remove
Data Analysis Expressions (DAX)
Reports Developments (Visuals in Power BI)
5)
Data Analytics Using Python-I
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics and Data Science
Python Essentials (Core)
Operations With NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
6)
Data Analytics Using Python-II
Data Analysis Using Python
Basic Visualization Tools
Visualizing Geospatial Data
Data Visualization with Python
Advanced Visualization Tools
Statistical Methods and Hypothesis Testing
7)
Data Analytics Using Tableau
Getting Started
Data Handling and Summaries – I
Data Handling and Summaries – II
Building Advanced Reports/ Maps
Table Calculations
Calculated Fields
8)
R for Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Data Visualization with R
Using R with Databases
Introduction to Statistics
Linear Regression: Solving Regression Problems
Testing
9)
Data Analytics Using Alteryx
Data Analytics Using Alteryx
Simplilearn’s Course Curriculum
Modules
Topics Covered
1)
Business Analytics with Excel
Introduction to Business Analytics
Conditional Formatting and Important Functions
Analyzing Data with Pivot Tables
Dashboarding
Business Analytics with Excel
Data Analysis Using Statistics
Power BI
2)
SQL
Fundamental SQL Statements
Restore and Back-Up
Selection Commands: Filtering
Selection Commands: Ordering
Alias
Aggregate Commands
Group By Commands
Conditional Statement
Joins
Sub queries
Views and Index
String Functions
Mathematical Functions
Data and Time Functions
Pattern (String) Matching
User Access Control Functions
3)
Programming Foundation and Data Analytics with Python
Introduction to Programming
Programming Environment Setup
OOPs Concepts
Programming Fundamentals of Python
File Handling, Exception Handling, and Package Handling
Course Introduction
Data Analytics Overview
Statistical Computing
Mathematical Computing Using NumPy
Data Manipulation with Pandas
Data Visualization with Python
Intro to Model Building
4)
Data Analytics with R
Introduction to Business Analytics
Introduction to R Programming
Data Structure
Data Visualization
Statistics for Data Science I
Statistics for Data Science II
Regression Analysis
Classification
Clustering
Association
5)
Tableau Training
Getting Started with Tableau
Core Topics in Tableau
Creating Charts in Tableau
Working with Metadata
Filters in Tableau
Applying Analytics to the Worksheet
Dashboards in Tableau
Modification to Data Connections
Tableau Introduction and Level of Details (LODS)
6)
Electives:
Data Visualization Using Power BI
Data Analytics Master Class
IIM SKILLS vs. Simplilearn Data Analytics Course: Tools and Techniques Covered
IIM SKILLS
Simplilearn
Excel
NumPy
Power BI
Python
Tableau
Alteryx
Pandas
R
SQL
Excel
NumPy
Power BI
Python
SciPy
Scikit learn
Pandas
R
SQL
IIM SKILLS vs. Simplilearn Data Analytics Course: Certification
IIM SKILLS
Simplilearn
IIM SKILLS provides master certification and global accreditation which is government recognized.
It will serve as an indicator of skill development and help you boost your game in the data analytics field.
You will obtain a certificate of completion from E&ICT Academy, IIT Kanpur, after successfully completing this program with a high score.
Your proficiency in data analytics will be verified by this certificate.
IIM SKILLS vs. Simplilearn Data Analytics Course: Program Offerings
IIM SKILLS
Simplilearn
Free Demo
✓
×
Instructor Led Class
✓
✓
Industry Faculty
✓
✓
Anytime Anywhere Access
✓
✓
Master Classes
×
✓
Doubt Clearing Session
✓
✓
Learning Resources
✓
✓
24×7 Support
✓
✓
Money-back guarantee
✓
×
EMI Option
×
✓
Exam
✓
✓
Assignments
✓
✓
Live Projects
✓
✓
Capstone Projects
✓
✓
Certificate
✓
✓
Internship
✓
×
Career Support
✓
✓
Program Outcomes of IIM SKILLS Data Analytics Course
Know the fundamentals of statistics, such as correlation, central tendency, dispersion, and regression – be familiar with Excel at SQL terms such as commands and query universal tool.
Learn the Python language’s principles including the specific of lists, contributions, branching, sets, dictionaries, objects, and classes.
Use the ideas of variables, loops, conditions, functions, etc. to develop Python programs.
Explore how to write and read files in Python while dealing, storing, and loading data with Pandas.
Using NumPy’s multi-dimensional arrays, Scikit learns machine learning, and Pandas’ data frame management implementation.
Get a solid understanding of data interpretation in Python.
Using Python libraries to analyze the data analytics performance.
Have an extensive grasp of classification approaches, linear and non-linear regression models, and both for the data analysis work process.
Learn how to effectively use hierarchical techniques and clustering techniques including K-means, DBSCAN
Learn how to use Excel for Business Analytics
Learn about Microsoft Analytics and Power BI as a visualization tool.
Learn about the model and statistics in Tableau and hone your abilities to create interactive dashboards.
Acquire knowledge of visualization techniques including waterfall, heat maps, treemap, market basket analysis, and Pareto
Program Outcomes of Simplilearn’s Data Analytics Course
Understand the fundamental statistics and SQL concepts.
Implement the ideas of variables, strings, functions, loops, and conditional statements in your first Python program.
Recognize the complexity of Python’s dictionaries, conditions, sets, lists, objects, classes, and branching.
Utilize Pandas to load, process and save data as well as read and write files while dealing with data in Python.
Analyze data using well-known Python libraries.
Learn how to analyze data using Pandas’ Data Frames, Scikit Learn’s machine learning functions, the SciPy library of mathematical functions, and NumPy’s multidimensional arrays in Python.
Learn more about the Python data visualization libraries such as Matplotlib, Seaborn, and Folium
Learn the fundamentals of R in depth and develop your own R scripting skills.
Learn R programming and how to execute different statements in R.
Learn about the newest Power BI analytics and visualization capabilities from Microsoft.
Learn the Tableau basics, master Tableau statistics, and create interactive dashboards.
Learn how to use visualization tools including market basket analysis, waterfall, heat map, treemap, Pareto and Gantt charts.
Contact Information
Phone Number:
1800-212-7688
Ideal preparation for most entry-level positions in the sector is strong data analytics skills that both of these data analytics courses will provide you.
Through these certifications, it will indicate that you know how to handle each step of the data analysis process, including the creation of data visualization and mining, and everything in between.
IIM SKILLS vs. Simplilearn Data Analytics Course: FAQs
Q. How can I obtain data analytics certification?
You might enroll in one of the data analytics courses we have listed in the article, or you could carry out and hunt for another data analytics certification that is acknowledged in the field.
Make queries, register, learn, study, do assignments and projects, pass the examination, and get certified. There could be more phases along the way, depending upon the path you ultimately take, but that is the overall procedure you can expect.
Q. How much time does it take to earn a certification as a data analyst?
Generally, it might take as short as 4 months in a focused program or as long as 4 years in a university degree program to become a certified data analyst from the beginning. Depending upon how much you want to up skills, it might take you a few days or months to master new skills.
Though both of these courses will take 6 to 11 months for your certification.
Q. What kind of companies you can work for in the data analytics field?
The data analytics field is much diversified and you can work in related sectors such as,
Entertainment and Media
Health and Fitness
Logistics and Transport
Education
Finance
Marketing
Retail
IIM SKILLS vs. Simplilearn Data Analytics Course: Conclusion
That’s it. Two top data analytics courses from IIM SKILLS and Simplilearn are discussed in detail. We hope you were able to find something that satisfies your learning needs and your budget.
You can do more extensive background checks on the program such as reading unbiased ratings, and graduate testimonies and carefully analyzing the course material before making any decisions.
Then, decide the skills you will need to get for any ideal hiring managers, and we have provided contact details of both of the institutions to discuss any concerns you might have with an advisor.
Data analytics courses range from entry-level to advanced levels and are designed for those who want to establish themselves as data professionals, grow in their jobs, or make a career change into the sector. Data analytics seeks to gain understanding from data by connecting patterns and trends to business objectives. When comparing data assets to organizational assumptions, data analytics is frequently used, and the focus of the activity is generally on business and strategy. Data analytics is less concerned with AI, machine learning, and predictive modeling than it is with contextualizing historical data. Here is a detailed guide to IIM SKILLS vs Udemy Data Analytics Course.
Data Analytics: Uses
Whether we realize it or not, we use data every day and it is all around us. Data analysis and its application may be seen in everyday activities.
Since many company executives rely on data to make wise decisions, data analytics is important in many different sectors. While a hospital administration could look at inventory data to decide which medical supplies to purchase, a shoe maker might use sales data to decide which designs to maintain and which to retire. Educational institutions may utilize enrollment statistics to decide what kinds of courses to offer.
Businesses that rely on data to guide their strategy usually exhibit higher levels of assurance, adversity, and financial acumen.
Data analytics may be classified as either descriptive, diagnostic, predictive, or prescriptive.
Diagnostic analytics diagnose the cause of an event.
Predictive analytics makes predictions about future events.
Our actions are guided by prescriptive analytics.
Combining these three categories of data analytics may help a corporation make decisions based on data.
The data analytics process, which comprises identifying the question, obtaining raw data, cleaning data, analyzing data, and interpreting the results, is frequently used by those who work with data analytics to study each of these four areas.
What Does a Data Analyst do?
A data analyst is in charge of gathering, scrubbing, and analyzing data that may be applied to better business judgments. They need to be able to explain their results clearly to people who will be making the choices. Data analysts frequently have excellent backgrounds in computer science and mathematics.
As organizations have gotten more data-driven, the function of the data analyst has become more crucial. Businesses can make sense of the enormous volumes of data they gather with the aid of data analysts. They clean and analyze data using their knowledge of mathematics and computer science, then provide their conclusions to people who will be making the choices.
Types of Data Analysts
There are several types for data analysts that you may pursue depending on your interests and skill set. Typical categories of data analysts include:
Business Analyst
Complex data sets must be gathered, analyzed, and interpreted by a business/data analyst so that businesses may make wise decisions. In order to define business requirements and create supporting data models, they collaborate closely with stakeholders. Additionally, they could create dashboards and reports to show data insights to decision-makers.
Marketing Analyst
A marketing analyst helps businesses understand their consumers and create marketing strategies by using data. They do this to assist businesses in efficiently focusing their marketing efforts by analyzing consumer behavior, demographic information, and market trends. To monitor the effectiveness of marketing efforts, they could also develop marketing performance measures
Financial Analyst
Data is used by a financial analyst to assist businesses in making financial choices. They may examine financial information including sales, costs, and profitability to assist businesses in identifying opportunities for development or growth. In order to estimate future performance and guide strategic planning, they could also create economic models.
Medical Analyst
In order to assist healthcare firms improve patient outcomes and cut costs, analysts in this field use data. To find trends and patterns, they could examine healthcare data including patient records, clinical studies, and insurance claims. For the benefit of healthcare professionals, they may also create prediction models.
Data Scientist
A data scientist is in charge of creating intricate algorithms and models to address data-driven issues. They utilize sophisticated analytical approaches to glean insights from huge, complicated data sets and create prediction models. They could collaborate with other data analysts to create data-driven business solutions.
Requirements and Qualifications of Data Analyst
Data analysts need to have few essential skills and background elements in order to succeed in their position.
Data analysts should be proficient in mathematics.
Second, they should have experience working with statistical software programs like SAS, R, or SPSS.
Great communication skills.
Data analysts that meet these requirements and prerequisites will be well-positioned to succeed in their positions and offer insightful information that may aid firms in making better decisions.
Data Analysts must possess both technical and soft skills to succeed in their positions.
Technical Skills
Wrangling massive amounts of data from numerous sources and processing it.
To provide reliable analysis, data must be cleaned of mistakes, discrepancies, and inconsistency.
Statistical approaches and tools, such as SQL, Python, R, Excel, or Tableau, are used to analyze data.
Making charts, graphs, and other visual representations of data to effectively communicate insights is known as data visualization.
Data modeling is the process of creating mathematical representations of real-world occurrences in order to make future predictions.
Finding patterns and insights from huge databases is known as data mining.
Machines can learn from data and generate predictions by using algorithms and statistical models.
Soft Skills
Communication: The ability to convey knowledge, research, and conclusions to a range of stakeholders.
Problem-Solving: The capacity to approach issues systematically, pinpoint underlying causes, and create workable solutions.
Paying close attention to every little detail while cleaning, analyzing, and modeling data to guarantee precision and dependability.
Critical thinking is the process of analyzing data, spotting patterns and trends, and coming to intelligent judgments.
Time management: Setting priorities and successfully juggling many projects and deadlines.
Teamwork is the capacity to cooperate with others and advance shared objectives.
Ability to adjust to new methods, technology, and tools as data analytics advances.
IIM SKILLS vs Udemy Data Analytics Course
IIM SKILLS
For students majoring in commerce who are interested in data analytics, IIM SKILLS is one of the best providers of online finance and other streams courses.
A student who successfully completes the course will be fully equipped to work for a large organization because it has been designed in the finest manner possible and is wholly practical in nature.
IIM SKILLS has very few, if any, pre-requisite requirements to be qualified for the course since we firmly think that education should be accessible to everyone. Anyone may start from the beginning to enter this cutting-edge sector if they are attracted by and have a keen interest in data analytics.
The following are the essential requirements for eligibility:
An undergraduate degree in any field.
Basic expertise in computers and technology.
It may be advantageous to have prior experience in statistics and mathematics, but it is not required.
Since data influences every organization today, this program may assist newcomers and recent graduates in breaking into any field. Those who are currently employed in the field might develop their talents to cause a vertical rise in their career path. This training can help anyone wishing to enter into the lucrative field of data analytics to build a career for themselves.
IIM SKILLS’S Master Certification Data Analytics Course
IIM SKILLS, a reputable brand in the field, provides a Master’s certification in Data analytics. You may attract potential employers by adding the shareable certificate to your accounts on LinkedIn and other social media platforms. Additionally, you can include it in your resume and CV to increase your employability in the eyes of recruiters.
Special Features of This Course:
Live Data Analyst Training for 6 Months
160 hours of lectures, 100 or more hours of practical assignments, and tool-based instruction
Master 7+ Tools | 7+ Live Projects | 10+ Case Studies
IIM SKILLS’s Data Analytics Master Certification is acknowledged by the Indian government.
How to take IIM skills’s Data Analytics Course
Registration
Registration is the first step in enrolling in this popular Data Analytics course. You can gain access to your LMS account by entering your name, email address, and phone number, followed by the payment of the course cost. The module will include information from all of the course modules and pre-study materials to assist you in determining your course objectives. Access your account and fully explore the course’s components.
Choose Your Batch
The last step is to choose a batch—weekday or weekend, whichever suits your schedule best. You may choose your batch easily depending on your work schedules, past commitments, and other factors.
Who Should Enroll in This Cutting-Edge Data Analytics Course?
The specialists at IIM SKILLS have created a complete Data analysis course that is tailored to the preferences and thought processes of those holding entry-level, middle-level, and senior-level jobs in the business. This course is a superb match for anybody considering a career in the field of data analytics even without any prior knowledge.
While ambitious professionals with an analytical attitude from various educational backgrounds become the finest candidates for pursuing the Data Analysis course. However, at IIM SKILLS, we think that anybody may and should take a course if they wish to use our Data Analysis course to break through in their job.
Generally speaking, if you work in one of the following sectors, the Data Analysis course is appropriate for you:
Newly minted UG/PG students
IT specialists
Experts in banking and finance marketing directors
Professionals in sales
Network managers for the supply chain
To effectively effect change in the corporate organization where you work, learn to harness data as much as possible.
Course Modules
IIM SKILLS has developed this advanced data analytics course to teach and educate students about the real-world trends of data analysis in recognition of the growing relevance of data in market trends. This excellent program puts the complexities of Data Analytics front and center to prepare you for employment as soon as you finish the course.
Below are the course modules:
Data Analytics Using Advance Excel (9 Hours)
Data Analytics Using VBA (15 Hours)
Data Analytics Using SQL (39 Hours)
Data Analytics Using Power BI (24 Hours)
Data Analytics Using Python-1(10 Hours)
Data Analytics Using Python-2 (10 Hours)
Data Analytics Using Tableau (15 Hours)
R For Data Science (20 Hours)
Data Analytics Using Alteryx (18 Hours)
Course Objectives
This sophisticated Data Analytics course is designed by professionals with the following specific objectives in mind:
To acquaint learners with the fundamentals of data analysis, including its many forms, data mining, etc.
To enable students to do data-pulling, -cleaning, -manipulating, and -analyzing business analytics jobs.
To increase your understanding of how to use data analytics tools like Excel, Power BI, and Tableau.
Using Python as an alternative to spreadsheets to handle datasets
To have a thorough understanding of statistical Data Analysis, which supports corporate decision-making
Features of the Course
Free Demo Classes
You are welcome to participate in a brief trial demo session at IIM SKILLS to get an idea of the format, speed, and mentor’s teaching style. You may move to enroll yourself in this excellent data analytics course after you feel confident with the demo session.
Learning Materials
Our comprehensive Learning Management System (LMS) offers a library of pre-session readings, recordings of sessions, and other reference materials to help you progress step-by-step. In the LMS, you may keep track of your progress and obtain any additional materials as needed. No time limits, restrictions on the amount of views, etc.
Outstanding Faculty
The genuine glory of the institute is its outstanding professors, each of whom has years of expertise in their field. In addition to being skilled experts with in-depth topic knowledge, they also possess a deep understanding of effective instructional techniques.
Before presenting you to more advanced concepts, tools, and practical advice, they cover the basics. Making the most of the acquired abilities will enable you to tackle challenges encountered in the field. Mentors provide trade secrets among other things to prepare you for potential issues at work.
IIM SKILLS vs Udemy Data Analytics Course – Let’s look at the next institute.
Udemy
The aim of Udemy is to provide flexible, efficient skill development for businesses and people.
With the help of their integrated learning solutions and strategic alliances, they give students the resources they need to develop a workforce that is prepared for the future, boost employee engagement, and meet business objectives.
They also customize learning to meet the needs of their clients so they may offer the appropriate learning opportunity to the appropriate audience in the appropriate manner.
Data Analytics Course by Udemy: An overview
Udemy has developed The Data Analytics Course to prepare you for the entry-level role that leads to a data science position: data analyst.
Due to the fact that it covers the foundations you’ll need on the job, this training program is fairly distinctive, a crucial feature that is usually overlooked.
Furthermore, they put a lot of effort into selecting lessons that flow well and reinforce one another. At a fraction of the expense of conventional programs (not to mention the amount of time you will save), the course offers thorough training for anyone wishing to pursue a career as a data analyst. Due to the fact that it will help you be ready for real-world activities and ideas that are regularly covered in interviews, Udemy thinks that this course will considerably increase your chances of finding jobs.
Course Modules
Simple Python
Seasoned Python
NumPy
Utilizing text files
Data gathering
Data preparation
Visualization of data
Udemy believes that everything is presented in the proper sequence and that you won’t get lost along the way because they have included all required stages in video form (not a single one has been skipped). In other words, before you understand how to collect data, we won’t show you how to analyze it.
Perks
$1,250 worth of services
Active support for Q&A
Data Analytics: a complete overview
Completion certification
Access to frequent upgrades in the future
Demo casses
Udemy’s Complete Data Analyst Bootcamp 2023
What you’ll discover:
Learn how to make combinations, scatter, regression, histogram, bar, line, area, and pie charts.
Learn how to use Excel, Power BI, and SQL to acquire intriguing, real-time information.
Recognize various data formats and how they affect memory use.
Become more knowledgeable about statistics and preprocessing in NumPy
Complete a capstone project.
Course Highlights:
16.5 hours of videos
38 downloadable sources
Mobile and TV access
A certificate of completion
Who Should Take This Course:
If you want to work as a data analyst or data scientist, you should enroll in this course.
If you want to have a successful career, take this course.
The training is perfect for novices as well because it begins with the basics and gradually develops your abilities.
Conclusion on IIM SKILLS vs Udemy Data Analytics Course
To fully understand the course content and the teaching methodology, it is strongly advised that you go through their demo classes before enrolling in the course.
In order to help you make a better choice for yourself, an article on the IIM SKILLS vs. Udemy Data Analytics Course was to make you aware of the technical components of the course. You will become effective and a market-savvy candidate with strong confidence after doing these sorts of professional courses.
Frequently Asked Questions (FAQs) on IIM SKILLS vs Udemy Data Analytics Course
Q. Is data analytics heavily math-based?
Data analytics is a very mathematical area. For data analytics, a strong background in mathematics, especially statistics, is required. Data analysts must be able to deal with huge datasets, analyze the data using statistical techiques, and interpret the findings using mathematical models.
To create and execute statistical models and algorithms, they can additionally require computer languages like Python and R. While having a solid foundation in mathematics is vital, it’s also important to keep in mind that data analysts may utilize a variety of tools and software, such as Excel, Tableau, and PowerBI, to assist with the labor-intensive tasks.
Q. Is there a good payroll for a Data Analyst?
Salaries for data analyst may vary, especially with experience and knowledge. The size of the organization, location, and industry may all affect real pay.
Q. Can a new graduate work as a data analyst?
Yes, recent graduates who possess the necessary degrees and analytical abilities can begin working as entry-level data analysts. Their prospects of finding a job as a data analyst might be improved by gaining experience through internships, projects, or certifications.
