Top 8 Investment Banking Courses in Malaysia

Malaysia is known for some of the best universities which offer financial, economic, engineering, and cultural studies degrees. Under its Shared Prosperity Vision 2030, the developing country is working towards building a balanced economic infrastructure and innovation. The present scenario has forecasted the creation of over 2,00,000 new jobs in the financial sector itself. Investment Banking is one of the best career lines to pursue worldwide for students just entering the economic world. Read ahead to learn about the best investment banking courses in Malaysia.

List of best investment banking courses in Malaysia

Table of Content

  • What is Investment Banking, and what is the role of an Investment Banker?
  • Job Opportunities for Investment Bankers
  • Types of Investment Banks
  • Investment Banking in Malaysia
  • Islamic banking in Malaysia
  • Why should you pursue Investment banking courses in Malaysia?

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What is an Investment Banking Course, and What is the Role of an Investment Banker?

Investment Banking can be understood most simply as the management of a person’s, organization’s, or even a government’s investment portfolio. It involves giving financial advice to clients regarding the market scenario.

It involves all operations performed to help a client’s economic growth. Investment Bankers analyze the market to make the best deals for their clients and also perform the functions listed below:

1.     Raising capital for the business through debt funding(loan) or equity funding(shares).

It means that the Investment Bankers will be liable to guide the company in obtaining equity or debt funding with the highest long-term benefits or, in the latter option, making the company go public through IPO Underwriting.

2.     Assisting the companies in prospective business mergers, acquisitions, and sales.

Investment Bankers must study all the financials of any deal on the table. They are required to analyze and discover any profit or loss their client may incur in a deal. They are required to study the present market scenario to forecast any future trends and make plans accordingly to continue serving the for-profit objective of their client. They are responsible for identifying any risks that may arise before, during, or after a project undertaken by the client.

3.     Managing the Investment Portfolio

A company may also engage in share trading. An Investment Banker ensures that the company adheres to all the guidelines and rules of the market authority and the country’s laws while trading and also manages and grows their investments.

4.     Business Consultancy

The job of an Investment Banker also requires him or her to advise the company to make any decisions regarding the structuring of the company to contribute to its financial growth.

Taking up an Investment Banking course helps the students grasp all the minute workings of the career they are aiming for. It will also add to their resume and may give them a leg up over the applicants with a general Banking and Finance degree.

A few other beneficial courses in Malaysia:

 

Job Opportunities for Investment Bankers

For all the aspirants of Investment Banking, it is important to understand the jobs that open up to you as you pursue a career in Investment Banking.

It is important to understand that while each portfolio enables the aspirant a higher pay bracket, only those who have the capabilities to function in this environment make it big. These jobs and the roles that Investment Bankers fulfill depend on the institutions that create these jobs.

1.     Sell-side Banks

Companies prefer to sell stocks and bonds through the channel of the sell-side banks. As an investment Banker, one’s role would be dependent on having excellent communication skills to be able to sell to prospective buyers to raise money. They may also function in an advisory capacity for market research, asset management, and capital management.

2.     Buy-side Institutions

These institutions require individuals who can identify profitable business opportunities on behalf of their corporation clients. During this exercise, the individuals must identify all the risks associated with the prevalent market, credit, and operational scenario of the corporations. These buy-side institutions include Insurance Companies, Hedge Funds, and private equity funds

3.     Corporations

Corporations may offer employment to in-house analysts for consultations regarding mergers and acquisitions, budgeting, and risk management. Investment bankers must have exceptional communication skills to handle investor relations for their corporation.

4.     Professional Services Firm

Today, we also have service sector firms operating on a huge scale. These companies hire Investment Bankers to tackle market risks, asset valuation, and general operational advisory.

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Types of Investment Banks

Investment Banks are classified according to the size of their firm, geographical reach, and the financial brackets of the deals they can bring in.

1.     Boutique Banks

Divided into Regional and Elite Boutique Banks, these Investment Banks specialize in limited areas of Investment Banking, for example, equity funds management.

The differentiation between Regional and Elite Boutique Banks is that the Regional Boutique Banks are restricted to a smaller geographical area which times may be as small as a single town. When a Regional Boutique Bank increases its operations in terms of workforce, area, and deal size, it may evolve into an Elite Boutique Bank.

An Elite Boutique Bank has a larger workforce, handles more funds, and operates in a larger area than a Regional Boutique Bank. In fact, it is more similar to Bulge Bracket Banks than to Regional Boutique Banks.

2.     Middle Market Banks

These Banks’ operating capacity exists between Boutique Banks and Bulge Bracket Banks. Middle Market Banks can have multiple offices in a country and may also handle all investment banking services for wealthy clients.

3.     Bulge Bracket Banks

These Investment Banks have a Client List that includes many Multinational Corporations and may also have Fortune 500 companies as their clients. These Banks also have branches internationally and are the Investment Banks that operate at the highest level.

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Investment Banking in Malaysia

Malaysia is the 36th largest economy in the world and has one of the lowest official unemployment rates in the world at 3.9%. Even now, the country is developing rapidly to create even more jobs for its citizens in all sectors including Banking.

Thus, Investment Banking has become a highly profitable profession with superior investment banking courses being offered by world-class Malaysian Universities.

Bank Negara Malaysia is the prime regulatory body for all banking institutions including Investment Banks in Malaysia. All investment banks must acquire a license from the central bank to engage in their operations.

Pursuing investment banking courses in Malaysia will help the students study the ins and outs of the Malaysian Economic Laws and system as they aspire to begin their investment banking careers in the country. Under these laws, a functioning bank may be incorporated under any of these 3 acts.

  • Financial Services Act 2013
  • Islamic Financial Services Act 2013, and
  • Central Bank of Malaysia Act 2009

Malaysia’s Banking sector is a booming industry. Vision 2020 and Shared Prosperity Vision 2030, is creating multiple jobs in each sector. Some of the major banks of the country are:

  • KAF Investment Bank
  • HSBC Bank Malaysia Berhad
  • Maybank Investment Bank
  • RHB Bank
  • Alliance Bank Malaysia Berhad
  • United Overseas Bank

Though the Investment Banks in Malaysia do not have a uniform recruitment process, the applicants go through a general aptitude test, group discussion, technical knowledge, and personal interaction rounds.

Malaysia is a great location for a job in Investment Banking due to English being a widely spoken language throughout the country. The promotion of ethical workforce policies may also be a deciding factor for the same.

Islamic Banking in Malaysia

Officially, more than half of Malaysia’s population follows Islam. As such they have also adopted a strong Islamic Banking centre and laws that govern it. In spirit of the parallelly existing banking systems, universities in Malaysia also offer courses in Islamic Banking and Finance which expands the job supply pool for aspiring investment bankers. Some of the top Islamic Banks in Malaysia are:

  • Alliance Islamic Bank Berhad, a principal subsidy of Alliance Bank Malaysia Berhad
  • Al Rajhi Bank Malaysia
  • Bank Islam Malaysia Berhad
  • CIMB Islamic Bank
  • Hong Leong Islamic Bank Berhad

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Why Should You Pursue Investment Banking Courses in Malaysia?

Students may apply for jobs in Malaysian Investment banks through their respective websites. The Investment Banks also hold placement interviews at many universities. Thus, students pursuing Investment Banking courses in Malaysia have an edge over external aspirants.

Many of the best universities offering investment banking courses in Malaysia are situated in its capital city, Kuala Lumpur. This is an added benefit as Kuala Lumpur is also becoming a trending location for setting up offices for Global banks in addition to the Malaysian Banks.

Being a center for Islamic Banking, Malaysia also becomes a prime location for pursuing an Investment Banking Course as the students have two streams of Banking to choose from.

An Investment Banking career in Malaysia is a mine of opportunities and success. According to the Robert Walters Global Survey 2017, an investment banking professional can earn up to 84 thousand Malaysian Ringgits in their beginning years as analysts, two years of which are also treated as on-the-job training for the professionals by the banks.

 

Top 8 Investment Banking Courses in Malaysia:

 

1. IIM SKILLS

IIM SKILLS is a company dedicated to students and professionals upskilling in their or new fields since 2015. Their faculty is led by experts with over 12 years of experience.

They offer an online 3-month Certified Investment Banking Course to students and professionals in finance and related fields.  The Certified Investment Banking Course by IIM SKILLS is a recognized course in the industry and can be a launchpad for your illustrious career.

 

You must check the IIM SKILLS Investment Banking Course Review

Course Name: Certified Investment Banking Master Course

Duration of Course: 3 Months | 70+ Hours Lectures

Internship: 1 month guaranteed internship

Mode of Study: Online Instructor-led classes

Course Programmes:

  1. Microsoft Excel
  2. Microsoft PowerPoint
  3. Fundamentals of Financial System and Market
  4. Derivatives Market
  5. Technicals of Investment Banking
  6. Different Marketing Collaterals
  7. Technicals of Financial Modeling
  8. Business Valuation

 

Course Highlights:

  1. Program based on real case studies
  2. Fees may be paid in simple EMI Instalments
  3. Offers Resume & Interview Preparation
  4. Real-time exposure to share and stock exchange

Certification: Certificate issued after successful completion of the course

Fees: INR 39,900 + 18% GST

Contact: Phone- +91 9580740740

Email- [email protected]

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2. Asia School of Business

The Asia School of Business was established in 2015 in collaboration with MIT Sloan. Thus, all its courses include an MIT Sloan immersion program for its students.

The Master in Central Banking courses focus on every aspect of central banking along with the best innovations and techniques in the industry. The students will get an on-hands experience in working in teams.

The course is open to all students with a bachelor’s degree in related fields and a CGPA of 2.50 or 2.00 after an internal inquiry. The admissions for the batch of September 2024 are open with the deadline being 29th March 2024, 3:00 PM.

Course Name: Master in Central Banking

Duration of Course: 12 Months

Mode of Study: On-Campus Master’s Program

Course Programmes

  1. Systems Thinking
  2. Macroeconomic Stability
  3. Financial Markets
  4. Financial Stability
  5. Data and Digital Technology
  6. Governance and Leadership

Course Highlights:

  1. Student Accommodation is provided and is included in the fees.
  2. A six-week MIT Sloan Immersion Course in Cambridge and in Kuala Lumpur
  3. Students may apply for financial aid independently
  4. Includes Insurance for students during the course.

Certification: The Master’s degree awarded by Asia School of Business, a Certificate of Completion by MIT Sloan

Fees: RM 335,000 ( approximately 76,000 USD)

Contact: Telephone- +603 2023 3000, Email- [email protected]

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3. Universiti Utara Malaysia

Universiti Utara Malaysia is a public management university situated in Sintok, Kedah, Malaysia, and also a branch campus in Kuala Lumpur. The Master in Islamic Finance and Banking is offered by the College of Business under the Universiti Utara Malaysia.

Available since 2012, the program aims to produce highly trained post-graduates for the Islamic Banking Industry.

The year-long program needs the students to earn 42 credit hours of subjects teaching the ins and outs of the Islamic Banking industry. The students may apply for the September 2024 batch through the college website.

Course Name: Masters in Islamic Finance and Banking

Duration of Course: 1 Year

Mode Of Study: On Campus

Course Programmes

  1. Islamic Economics
  2. Contemporary Islamic Banking
  3. Islamic Financial Contracts and Maxims
  4. Deduction Method and Maqasid Shariah

Course Highlights:

  1. Student Accommodation is provided.
  2. Students may apply for financial aid.

Certification: The degree is issued after successful completion of the course

Fees: RM 12,400 for full-time Malaysian Students, RM 3,929 for full-time Students

Contact: Telephone- +604-928 7130 / 7121 / 7120, +604-928 7119 / 7155,

Email- [email protected],my

 

4. University of Nottingham

The University of Nottingham was first started in 1881 and expanded to Malaysia in 2005. This prestigious university campus is self-sufficient and offers high-quality living and state-of-the-art educational facilities to students and faculty.

This investment program is focused on the present and evolving banking practices. The Finance and Investment MSc course is one of the top 7 offline investment courses in Malaysia with on-campus studies. This program is offered to students who seek specialization in core financial elements.

 

Course Name: Finance and Investment MSc

Duration of Course: 1 Year

Mode Of Study: On Campus

Course Programmes

  1. Capital market Analysis
  2. Corporate Finance
  3. Quantitative Research Methods for Finance and Investment
  4. Derivative Investment
  5. Fixed Interest Investment
  6. Behavioral Economics and Decision Making
  7. International Finance
  8. Research Dissertation

Course Highlights:

  1. Access to NUBS Financial Trading Room for expertise development
  2. This investment banking course is affiliated with the Chartered Financial Analyst Institute University Affiliate Program.
  3. The students may also apply for scholarships, grants, and financial aid offered by the university.

Fees: RM 48,900 for Malaysian Students, and RM 58,700 for International Students

Contact: Telephone- +603 (0)8924 8000

Enquiry-https://www.nottingham.edu.my/Study/Make-an-enquiry/Enquiry.aspx

 

5. UOW Malaysia KDU University College

UOW Malaysia was brought under the University of Wollongong, Australia in 2019. UOW Malaysia’s Bachelor in Accounting and Finance is an all-around course that educates its students in a 360-degree purview of accounting and finance operations on a global level.

The students also gain a legal perspective of the banking sector in Malaysia due to this course program. UOW Malaysia offers its students an unparalleled experience of college life and unique internship and networking opportunities on national and international levels.

Course Name: Bachelor in Accounting and Finance (Hons)

Duration of Course: 3 Years

Internship: Opportunity to earn internships with over 100 companies

Mode of Study: On Campus

 

Course Programmes

  1. Oral Communication
  2. Writing and Referencing
  3. Principles of Economics, Marketing, Management and Finance
  4. Financial and Management Accounting
  5. Company and Business law
  6. Research Methodology and Quantitative Methods
  7. Accounting Information Systems
  8. Corporate and International Finance
  9. Financial Markets and Institutions
  10. Financial Reporting and Management
  11. Taxation
  12. Basic and Advanced Auditing and Assurance
  13. Investment Analysis

Course Highlights:

  1. This Investment Banking Course exempts its graduates from several professional bodies’ papers like ACCA, CPA Australia and CIMA.
  2. The course has also received validation from MICPA Malaysia
  3. It offers a Job Shadowing program in Year 2 to give its students a real-world experience.
  4. This program offers unique simulation training to its students in functioning in the VUCA world.

Fees: RM 77,750 for Malaysian Students and RM 95,380 for International Students

Contact: Phone: +603 5565 0538

Email: [email protected]

Local Enquiry: +6012 236 3602

International Enquiry: [email protected]

 

6. Asian Banking School

The Asian Baking School (ASB) sets the standard for high-quality banking courses in the ASEAN region. The school has partnerships with several world-class educational institutes like the University of London and the University of Cambridge.

Besides the offline courses held at the training center in Malaysia, The ASB offers numerous online short-term courses dedicated towards specialization in different branches of Banking and Finance. The online courses are offered on the Frankfurt School e-Campus.

Some of the online Investment banking courses in Malaysia offered by ASB are:

  1. Blockchain and Decentralised Finance (DEFI)- 8 Hours
  2. Cryptocurrency: Mechanics, Risk Management and Applications- 8 Hours
  3. Demystifying Debt Securities Credit Ratings- 8 Hours
  4. Certified Expert in ESG & Impact Investing- 6 Months

Course Name: Certified Expert in ESG & Impact Investing

Duration of Course: 6 Months

Mode of Study: Online on Frankfurt School E-Campus

Course Programme:

  • UNIT 1 : Introduction and Overview- ESG Criteria & Impact Investing
  • UNIT 2 : Historical and Theoretical Context
  • UNIT 3 : Strategies for Measuring & Managing ESG Criteria and its Impact
  • UNIT 4 : Integrating ESG and Impact Management in the Investment Process
  • UNIT 5 : Specialised Financial Instruments and Legal Contracts in ESG
  • UNIT 6 : Ratings, Indicators, Non-Financial Reporting and Data in ESG
  • UNIT 7 : Elective Module- Choose from Marketing or Due Diligence

 

Course Highlights:

  1. The ASB is dedicated to bringing quality personnel to the banking sector.
  2. The ESG & Impact Investing course is formed in collaboration with the Frankfurt School of Finance & Management and a certificate is provided by the latter.

Certification: Yes, Available

Fees: RM 8,500 for AICB Members and EUR 1,700 for International Students

Contact: Phone: +603 2701 7822

Email: [email protected]

 

7. New York Institute of Finance

The New York Institute of Finance was founded by the New York Stock Exchange and offers various courses for budding bankers. The institute also offers ‘Mock Market’, a simulation trading activity in the exchange itself after trading hours. The Institute offers multiple banking courses at various levels and specializations which are:

  • Accounting
  • Hedge Funds
  • Quantitative Methods
  • Trading
  • Alternative Investments
  • Finance
  • Mergers & Acquisitions
  • Regulations and Compliance
  • Wealth Management
  • Derivatives & Options
  • FinTech
  • Operations
  • Risk
  • Equities
  • Fixed Income
  • Portfolio Management
  • Structured Products

 

The Institute offers Certified Investment Banking Courses in Malaysia due to the permeability of the Internet. The Investment Banking Certification Course is a self-paced 70-hour online course with multiple core and elective courses.

Course Name: Investment Banking Certification

Duration of Course: 70-hour self-paced online certification

Mode Of Study: Online

Course Programmes:

  1. Finance of Managers
  2. Financial Statement Analysis
  3. Quantitative Methods and Techniques
  4. Free Cash Flow Modeling
  5. Essential Skills for Investment Banking and Finance
  6. Corporate Finance
  7. Business Valuation
  8. Mergers & Acquisitions: Advanced Concepts and Theories
  9. Mergers & Acquisitions: Structuring the Deal
  10. Equities
  11. Hedge Funds and Private Equity
  12. Portfolio Management
  13. Mergers & Acquisitions: Advanced Acquisition Modelling
  14. 2 specialization courses from Capital Markets, Valuation, Fund Management, and Mergers & Acquisitions

Course Highlights:

  1. This program is designed to give MBA-level knowledge at a graduate level.
  2. The self-paced course enables the students to study at their own pace.
  3. The elective specializations let the students achieve area expertise at an introductory level

Certification: Available

Fees: USD 990

Contact: Email- [email protected]

 

8. Coursera

Coursera has innumerable courses on numerous subjects from more than 275 renowned universities throughout the world. The learning platform has a B Corp certification since 2021. Coursera courses are very flexible and designed for working adults to complete on their own time.

In fact, they even offer subject specialization by offering a package of courses to prospective students. Students are able to earn certified training for top-level universities without the lengthy application process. Through these efforts, international universities have been able to provide their investment banking courses in Malaysia.

Each of these investment banking courses in Malaysia is of variable fees and duration. Some universities offering investment banking courses in Malaysia through Coursera are:

  1. University of Illinois at Urbana-Champaign
  2. Yale University
  3. Erasmus University Rotterdam
  4. University of Geneva
  5. Goldman Sachs
  6. EDHEC Business School
  7. New York Institute of Finance
  8. Columbia University

Course Specialisation: Mergers and Acquisitions

Course Offered by: University of Illinois at Urbana-Champaign

Duration of Course: 2 Months at 10 Hours a week

Mode of Study: Online

Course Programmes:

  1. Finance of Mergers and Acquisitions: Valuation and Pricing- 17 Hours
  2. Finance of Mergers and Acquisitions: Designing an M&A Deal- 20 Hours
  3. Accounting for Mergers and Acquisitions: Foundations- 8 Hours
  4. Accounting for Mergers and Acquisitions: Advanced Topics- 7 Hours
  5. Investment Banking: Financial Analysis and Valuation- 13 Hours
  6. Investment Banking: M&A and Initial Public Offerings- 15 Hours

Certification: Available

Course Fees: MYR 750

Contact: https://about.coursera.org/contact/

 

Frequently Asked Questions

1.     What jobs can I have in an Investment Banking career?

If you are interested in building a career in Investment Banking, it is necessary to know what jobs and designations you can hold as an Investment Banker:

  • Investment Banking Analyst
  • Investment Manager
  • Financial Advisor
  • Risk Manager
  • Capital Marketing Operating Consultant
  • Investor Relations Associate
  • Equity Analyst
  • Investment Consultant
  • Virtual Investment Banking Assistant
  • Investment Writer

2.     What are the eligibility requirements for pursuing Investment Banking Courses in Malaysia?

To pursue investment banking courses in Malaysia, you must meet certain eligibility criteria:

  • An interest in studying economic and market trends.
  • An aptitude for mathematics and accountancy
  • Basic English speaking skills
  • If applying for a Master’s degree, you must also have a bachelor’s degree in Finance and Banking or related fields.

3.     How to decide between offline and online investment banking courses in Malaysia?

While the Internet places innumerable options for investment banking courses in Malaysia, it is important to research from more than one source. While considering your prospective courses, keep in mind the faculty, facilities, location, the subjects offered, need for accommodation, Alumni Network, affordability, availability of the internet, and your chosen career specialization.

The online investment banking courses in Malaysia are visibly affordable and are flexible in timings and give you the ease of studying from home. In contrast, On-Campus courses offer you unique opportunities to be independent and also let you build a lasting network in the banking industry during your time at the campus.

4.     What is VUCA?

VUCA was a term coined in 2001. In the ever-changing world scenario, VUCA was an acronym for Volatile, Uncertain, Complex, and Ambiguous. These terms were used to describe the world among the shifting demographics of the world. It is a good option to pursue an investment course in Malaysia despite these conditions as the Banking sector in the country has been forecasted to progress with stable growth.

5.     How important are interpersonal skills for Investment Banking?

Very Important. As an Investment Banker, you may work as an Investor Relations Manager which will require you to liaise between your company and the present and prospective investors of the company. You may also be expected to know English to be able to communicate with international clients and investors.

Conclusion

World Economies may rise and fall but the relationships among them will always need management. Banking is the system that fills this responsibility. Investment Banking as a branch has a lot to offer as an Investment Banker can rise to be in a position of importance for his employers as his or her expertise can make or break a corporation.

These investment banking courses in Malaysia are beneficial to students because they give them extra credibility for employment in the country. Malaysia is a great location because of the relatively lower cost of living than other ASEAN countries. The several short-term courses in Investment Banking help the students advance their careers on a global level at an affordable cost.

Top 10 Data Analytics Techniques For Successful Business

Several factors are responsible for building a profitable business. In a society powered by technology, these factors can be collected as data, organized and analyzed to study target audience demographics & preferences, predict markets, and make informed decisions for building a profitable business. Experts have identified several data analysis techniques that are at a business’ disposal for increasing its customer base and accordingly, profits. In this article, we have listed the top data analytics techniques and also a few software that help businesses analyze with ease.

Top Data Analytics Techniques (1)-compressed

Table of Content

  • What is Data Analysis?
  • Importance of Data Analysis
  • Types of Data Analysis
  • Process of Data Analysis
  • Top Data Analytics Techniques
  • Data Analytics Tools

What is Data Analysis?

In simple words, Data Analysis is the practice of inferring useful information from raw data collected by personnel from different sources. Data Analysis in any field is useful for building, maintaining, and growing a thriving business in the dynamic economic and social scenario.

Data Analysis can be used for gathering information regarding the inner workings of an organization, the audience preferences, or shifting market trends.

All organisations need to invest in data analysis for efficient decision-making regarding all internal and external matters covering everything from audience demographics and market trends to production line and personnel performance checks.

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Importance of Data Analysis

A business is based on the principle of trading certain products or services in exchange for financial profit or fulfilling non-profit causes. To enable trade, businesses need to put their best foot forward at every turn to convert interest in their product or service into a sale.

Data Analysis gives the businesses a quantifiable and qualitative measurement of their operational parameters. This further initiates a uniform comparison with standards and lets the businesses initiate improvement in areas to achieve their goals.

Here is a guide to Data Analytics and Data Science

Different Data Analytics Techniques Are Required for a Business to:

Improve Organisational Decisions

Data Analysis reduces human errors. The process of data analysis enables business owners to make informed decisions based on collected, processed and analyzed data so that guesswork and subsequent mistakes can be minimized for the organization.

Several data analytics techniques can be used to infer information from raw data to implement efficient decision-making at every level in the organization.

Enable Cost Efficiency

The economies of a business are affected by multiple fluctuating factors. While these factors are recognized, their fluctuations need to be studied and predicted to ensure that the business’s finances always have an increasing graph. Data Analysis in business helps them identify and restructure budgets, costs, and expected profit margins for the business’ continued operations.

Increase Sales Conversions

A business’s primary objective is to sell. Data Analysis lets the management identify the needs, wants, and attractive aesthetics and results required by the audience in a product or service. Taking care of the audience preferences as identified through various data analytics techniques can be the deciding parameter for a business’ sales conversions.

Improve Customer Relations

The present media scenario enables two-way communication between a business and its audience. This raises the business’s responsibility toward its audience’s expectations regarding the products and services. Data analysis helps businesses organize data into categories and also identify and evaluate dynamic customer interests and concerns. This is part of the last step of efficient management for any business.

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Types of Data Analysis

Data Analysis can be broadly classified into Qualitative and Quantitative analysis. The other types of analysis can be treated as subcategories of the above. To succeed in business, organizations need to identify their needs and employ a balance of qualitative and quantitative data analysis in their evaluation.

 

Qualitative Analysis

The qualitative data analysis does not give a numerical result of the processed data. Simply put, a qualitative analysis is meant to answer the why, what, and how of a problem. For example, the data collected through open-ended questions for a customer feedback interview will give the analysts a general opinion regarding the product, service, and image of the organization in the customer’s eyes.

Quantitative Analysis

As the name speaks, a quantitative analysis seeks to provide measurable or quantifiable results to the data. A quantitative analysis can give you numerical results for multiple problems like:

  • Sales Conversion in a quarter or area or through a medium
  • Performance appraisals of employees
  • A comparative study with a competitor’s sales
  • Evaluating the working conditions for personnel and machinery and many more.

Text Analysis

Also known as text mining and information extraction, text analysis involves the compression and conversion of complicated or lengthy heterogeneous content into easy-to-read data pieces to make them readable by machines. Text Analysis can be complicated due to the several languages spoken today. In such cases, machines display all results that have logical validity.

You should know the most important Data Analyst Interview Questions

Statistical Analysis

Statistical Analysis is the interpretation of processed data with the help of statistical operations and visualizations like pie charts, bar graphs, etc Statistical Analysis lets the business give information at a glance making it easier to understand, justify, and act upon.

Diagnostic Analysis

Diagnostic Analysis is a more in-depth form of statistical analysis that seeks to answer particular questions through data discovery and processing. It seeks to identify the root cause of any particular problem. Diagnostic Analysis is performed to solve a problem. Thus, it may also involve data collection from external sources if it correlates with the problem in question and may even be a cause for it.

Predictive Analysis

Predictive Analysis is performed in preparation for the future. It can be involved in all future concepts including market trends and patterns study, increasing operational and managerial efficiency, preparing for and reducing risk factors and even improving present and future marketing campaigns.

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Process of Data Analysis

To be of use, Data needs to be collected, classified, analyzed, and interpreted into an understandable concise format to enable its use for different business functions.

The Process of Data Analysis Includes the Following Steps:

Define the Problem

Before beginning the analysis process, the problem that needs to be solved and the objectives to be fulfilled need to be set by the data analysts of the organization. Without having specific goals, the data cannot be converted to useful results.

Collection of Data

After setting the objectives, the organization can collect raw data from internal and external sources that will enable them to infer positive or negative results. The data may be collected from primary or secondary sources.

Data Cleaning and Classification

Even after the collection, the data is not usable without being organized and compact. The collected data needs to be sorted through, organized, classified, and compiled into understandable pieces of information.

Exploration and Analysis of Data

By using various analysis techniques, the data is analyzed and visualized to predict the results from the data. By using these techniques, the analysts can infer the relationships between the factors and that with the subject.

Interpret the Results

After the analysis, all that is left is to interpret the result according to the set objectives and determine whether the results meet the objectives or not.

Looking to opt for the data analytics courses? Here are the best:

 

10 Best Data Analytics Techniques

Data analysis can be performed through various data analytics techniques based on mathematics, statistics, artificial intelligence, and machine learning. Some of the widely used data analytics techniques are mentioned below:

 

1. Regression Analysis

Regression Analysis is a statistical analysis technique that seeks to define the strength and properties of a dependent factor with one or more independent factors of the data. A Regression Analysis lets you study the impact of the factors on each other. Regression Analysis can be differentiated according to the properties of their variables.

 

When the variables may take any value within a range, they become Continuous Dependent Variables and may use linear or nonlinear regression analysis, the former of which can be further divided into the following:

  • Fitted Line Plots
  • Stepwise Regression and Best Subsets Regression
  • Ridge Regression
  • Lasso Regression
  • Partial Least Square (PLS) Regression

When the variable gives qualitative results through exclusively classified observations, they are known as a Categorical Variable which can be analyzed through the following regression:

  • Binary Logistic Regression
  • Ordinal Logistic Regression
  • Nominal Logistic Regression

Variables may also take small exact countable values which are then termed as Count Dependent Variables. The data analytics techniques used to analyze these variables are:

  • Poisson Regression
  • Negative Binomial Regression
  • Zero-inflated Models

 

2. Factor Analysis

Factor Analysis, also known as Dimension Reduction Analysis, is the technique that lets us reduce the number of factors into smaller observable units with the understanding that several variables are correlated and have one concept according to which they can be grouped under a single entity through covariance.

This technique is especially helpful as it lets analysts sort through a bombardment of individual data and move ahead with analysis with the use of grouped data which highly relates to our objectives.

 

3. Monte Carlo Simulation

The Monte Carlo Simulation or Monte Carlo Method is one of the most popular data analytics Techniques for risk analysis. This technique is a computerized analysis that seeks to predict the multiple outcomes of a situation and also the probability of each outcome happening.

This data analysis technique enables organizations, be it business, finance, engineering, or even online gaming.

Monte Carlo Simulations have three components: input variables, output variables, and the mathematical model. The latter of the three is the most important component to produce the output variables or possible results. The following steps must be followed when conducting data analysis through Monte Carlo Simulation:

  • Formulate an equation from the available data according to which a mathematical model will be built.
  • Determine the values that should be included to form the model and group them into sets.
  • Set up and operate the Monte Carlo Simulation software like GoldSim, Excel, or Amazon Web Services.
  • Analyze the results to solve the problem.

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4. Cohort Analysis

Cohort simply means a group. Thus, cohort analysis is the process of performing the data analysis on people who have been grouped based on a particular trait. This technique enables analysts to identify patterns in the data that may be specific to a cohort with similar preferences, financial brackets, or even the time from which they have been using a business’ product or service.

Cohort Analysis is one of the data analytics techniques that enables businesses to tailor their services for specific cohorts as identified under the analysis giving their consumers superior before, during, and after-sales services.

 

5. Cluster Analysis

Cluster Analysis is an exploratory data analysis technique that seeks to apply set analysis algorithms on naturally grouped data. It is an exploratory method that works on data that appears exclusive of other clusters and similar to data within the cluster.

It lets the analysts recognize the underlying structures in the data but does not go into the depth of what causes the occurrence of these structures within a dataset.

Cluster Analysis is a technique that prepares the data for further analysis. The several algorithms that may be applied in this technique are:

  • Partition based Algorithms
  • Hierarchical Algorithms
  • Density-based Algorithms
  • Grid-based Algorithms
  • Model-based Algorithms
  • Constraint-based Algorithms
  • Outlier Analysis Algorithms

 

6. Time Series Analysis

This data analytics technique seeks to analyze data at different points in time. This analysis seeks to establish the changes in resulting data with the same variables at different points in time.

The time series analysis seeks to establish time patterns in the data like trends, seasonality, and other cyclic patterns. The simplest example of the usage of the marketing campaign for seasonal products like air conditioners, inners, and heaters.

The time series analysis can be conducted through various models which can be broadly classified into:

  • Autoregressive Models
  • Integrated Models
  • Moving Average Models

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7. Sentiment Analysis

Research has proven that the audience makes maximum decisions through an emotional quotient. If any action of a business knowingly or unknowingly harms the sentiments of the audience, it could result in heavy losses for the business.

In contrast, the audience may also ignore slight problems if they feel a sentimental connection with the business brand. With this in mind, businesses conduct sentiment data analysis to predict whether the delivered message will have a positive, negative, or neutral emotional quotient.

These data analytics techniques seek to improve brand reputation by making favorable operational decisions. While the approaches to sentiment analysis can be divided into Rule-based, Machine Learning, and Hybrid; sentiment analysis is of different types:

  • Fine-grained scoring
  • Aspect based
  • Intent-based
  • Emotional Detection

It is important to note that due to the nature of the analysis, sentiment analysis also has the disadvantage of the variable nature of sentiments. As sentiments cannot be numerically judged, the sentiment data can be subject to sarcasm, negation, and emotional range that may not be limited to a specific emotion.

 

8. Fuzzy Logic

Data Analytics also accepts that market scenarios cannot be subject to exact mathematical values as they are based on human actions, capabilities, and thought processes. The Fuzzy Logic analytics technique thus, studies the data in a way that allows for several outcomes for the positive fulfilment of objectives.

This data analytics accepts the presence of several ‘true’ results instead of an absolute solution as is acceptable for businesses. The Fuzzy Logic is a technique that shares several similarities with other data analytics techniques like Machine Learning and Neural Networks. The components of Fuzzy Logic analysis are:

  • Fuzzification
  • Fuzzy Knowledge base
  • Inference Method
  • Defuzzification

 

9. Machine Learning

Machine Learning is a data analytic technique that seeks to teach a computer to process data in a certain way. It can be treated as a subset of artificial intelligence that uses algorithms to process Big Data repeatedly to build workable models for data analysis according to situations.

Widely used for data mining, machine learning is on the rise due to its property of reducing human effort. Machine Learning includes the use of algorithms like Neural Networks and Decision Trees that are data analytics techniques in their own right but also include:

  • Association and Sequence Discovery
  • Expectation Maximisation
  • Principal Component Analysis
  • Nearest Neighbour Mapping
  • Singular Value Decomposition

 

10. Artificial Neural Networks

Simply put, this technique uses the principle of analyzing data like a brain would. As many experts define the human brain as a computer, the artificial neural networks work as a brain would. This is a deep learning analysis that changes its technique structure according to the data.

The data is entered in layers, known as node layers, and works on a model that is built on connecting nodes that are activated if a certain threshold is crossed.

The Artificial Neural Networks technique is capable of processing and analyzing simple or complex data at unprecedented speed and accuracy that is difficult at the same pace by humans.

 

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Data Analytics Tools

Data Analysis is an important practice for businesses. According to their needs, businesses may choose from several tools that simplify the process of data analysis.

Microsoft Power BI

Microsoft’s Power BI is a tool that uses a ‘drag and drop’ feature that enables you to get speedy insights for the input variables in record time. The ease of using the software is one of the most important factors that increases its popularity. Another factor is the availability of the features for a minimal price.

Microsoft Excel

Microsoft Excel is a well-known software that enables superior data organization. Along with organization, it has multiple functions that may be performed to analyze data. Businesses may even install plugins with the software to get a versatile data analysis tool.

Tableau

Tableau is a visual data analytic platform that was developed through contributions by Stanford. The purpose of the platform is to derive data-driven results that may uncover trends and patterns that may be missed through simple analysis. Tableau also has a superior data cleaning facility that users can test through the trial offered by the company.

SAS

SAS analysis software is capable of analyzing data for various mediums including new-age social media. It is especially useful as it can access data from multiple sources that may not have been possible from other software or tools. Its ability to customer profiling is unique to the platform.

 

Apache Spark

Apache Spark is an open-source analysis software that conducts real-time processing of data and makes its interface available in 4 widely used programming languages. Apache Spark is easy to use and also offers the Apache Spark and Scala Certification Training Course to train professionals in using the software.

Frequently Asked Questions

Here are the FAQs about the data analytics techniques.

1. What is Data?

In common meaning, Data is the collected form of information that has been translated into a form that is measurable and capable of further study and analysis for solving problems and gaining solutions. It is used to present information in a way that is bereft of repetitions and extra variables. It is classified into qualitative and quantitative data.

2. What are the available jobs in Data Analysis?

As the competition rises in the business sector, business organizations are developing data analytics teams to gain an edge over their competitors in the market. In the Indian scenario, Naukri.com the recruitment website lists over 4000 listings for data analysts. The field has entry-level designations of Junior Data Analyst, Junior Data Scientist, and Associate Data Analyst while senior professionals may be promoted to Business Analysts, Data Engineers, Data Scientists, Marketing Analysts, and more with an average pay range of INR 4 lakhs to INR 10 lakhs.

3. How to choose data analytic tools to perform data analytics techniques?

Having multiple data analytics tools at your disposal can clutter a business’s data analysis process. Choosing an analyst tool becomes an analysis itself with many factors to consider, the basic of which include the scale of operations, budget, and security of the business but also considers interface specifics like the tool’s speed of processing the data, understanding of the programming languages, scale of data handling and more. While they may use the free tools available with ease, businesses should consult an expert before investing in a data analytic tool according to their needs.

4. What is the difference between Data Analytics and Data Science?

In simpler terms, Data Science is a higher-level function than Data Analysis. A data scientist is more involved with operations specific to the business and is responsible for inferring insights for a business specific to it after the general analysis has been conducted. Data Analysis is a branch of data science that seeks to perform specific operations to produce specific insights into data.

Conclusion

Data Analysis is a procedure that is rooted in the continued development of a business organization and the growth of business image among clients and competitors. As technology progresses and the audience evolves as an intelligent entity, the successful analysis and interpretation of their preferences in products, services, and communications is a guaranteed way of building, maintaining, and growing a loyal customer base. By using the best data analytics techniques, businesses can equip themselves with future predictions and past knowledge to tackle the dynamic market to emerge as a successful entity.