by Priyanka Sharma | Jul 2, 2025 | Courses, Data Analytics, Institute Review
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.
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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.
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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
- Tableau workspace comprehension
- Types of Data and properties
- Shelves and Marks card
- Work overview
R For Data Science (20 Hours)
- Data Importing
- Data exporting
- Data Analysis & manipulation
- Using R for Data visualization and database
- Basics of statistics
- Testing Problem-solving
- Course Content
- Data import & Export
- Data export in various forms
- Data import in various formats
- Full and partial Data viewing
- Data types and structure
- Concepts of base and other useful packages
Data Analytics Using Alteryx (18 hours)
- Use of Alteryx for Data Analytics
Course Content
- Basic concepts of Alteryx
- Introduction of tools for Data type change
- Comprehensive understanding of Alteryx settings
- Data source connection
- Data set types
- Designing Interface
- Data cleansing
- Recognising Data fields
- Use of string Data for filtrations
- Blending data from various sources
More Details
Data Analytics Master Course
Duration: 6 Months Course
Internship Duration: 2 Months Guaranteed Internship
Training Period: 160+ Hours Live Training & 100+ Hours Theory & Practical
Tools Learning: Learning from Tools
Placement: Regular Job referrals & Interview Guarantee
Fee: INR 49,900 + inclusive Taxes
IIT Kanpur Data Analytics Course
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
Tools Learning: Tools-based training
Placement: Regular Job referrals & Interview Guarantee
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.
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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?
Tools and Technologies
- Python and R
- statistical programs
- SAS and SPSS
- Visualization tools like Tableau
- Power BI.
by Swati Varli | Jul 2, 2025 | Courses, Data Analytics, Institute Review
Do you want to study data analytics but are unsure where to begin? Then, this article is for you. Data analytics careers have been highly popular in recent years due to the growing reliance on big data to drive business success. To put your feet in this industry, you need an excellent educational background and necessary skills. But, let’s say you don’t have a degree or have a degree in a completely unrelated profession. In that case, you can develop the necessary skills via different strategies, such as certificate programs or university courses. Here in this article, we have discussed the best IIM SKILLS vs. IIM Calcutta Data Analytics course that can help you grow in this industry.

What is Data Analytics?
Data Analytics is the science of transforming raw data to find insights and provide answers that can be used in many industries.
To collect, arrange, and evaluate insights that help companies make better decisions; it uses multivariate tools and techniques with a broad range of strategies with different objectives.
Numerous efforts may be supported by data analytics; you will have a clear understanding of where you are, where have you been, and where you want to go thanks to the combination of various data analytics components.
Businesses may increase marketing efforts, revenue, security, and operation efficiency via data analytics. Today’s technologies and methods for data analytics are widely available and essential for firms of all sizes from significant healthcare analytics to the small climate change community actions.
Function of Data Analytics
A solid understanding of the procedure for filtering and arranging disorganized data is essential if one is to have an in-depth practical understanding of what analytics is.
Data analytics is important in the following ways,
Even if every other sector is using this resource’s vast potential, data analytics can be important in the following ways:
- More accurate information for trend analysis
- More practical and customer-focused products
- Promoting energy efficiency and sustainability
- Effective marketing initiatives
- Improvement of cyber security projects
- Automating production processes
- Business risk anticipation and reduction
- Better insurance health and clever saving strategies
- Development of advanced prediction algorithms and general public customized healthcare
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Ways to Use Data Analytics
After looking at what data analytics is and its function, let’s discuss some applications for it.
Better Customer Care
- Data analytics enables you to customize customer care to their needs. Additionally, personalization is offered and client relations are strengthened.
- Data analysis may disclose details about the preferences, issues, and more of your clients. You can make better suggestions for products and services thanks to data analytics.
Improved Decision Making
- Data Analytics eliminates guesswork and manual work. Whether it be selecting the appropriate content, managing marketing initiatives, or creating products.
- Decisions made by organizations can be based on the insight gained through data analytics that results in improved outcomes and satisfied clients.
Operations Efficiency
- With the use of data analytics, you can optimize your procedures, reduce costs, and increase output.
- By having a better grasp of what your audience wants, you can spend less time producing advertising and material that doesn’t appeal to them.
Effective Marketing
- Data Analytics provides you with useful information on how your campaigns are performing. This helps in optimizing their performance.
- Furthermore, you may discover potential clients who are most likely to engage with a campaign and turn into leads.
After knowing all of this information about data analytics, you can tell companies across all industries want experts who can gather data, evaluate it, and extract actionable, data-driven insights from it which can help them address major business problems. As a result, data analysis can become the most lucrative career in the future.
There are many ways to land your first job in this in-demand industry and there are multiple positions for data analysts available in a variety of sectors. Whether you are starting in this field or switching to a new line of field. You should begin by gaining basic information if you are new to data analysis.
While giving you job-ready skills, a general overview of data analytics might assist you in determining whether this career is a suitable match.
A degree in a relevant field, such as computer science, information technology, math, statistics, economics, finance, or corporate information systems is typically required for entry-level or advanced positions as a data analyst.
Due to the fact that it indicates a strong core understanding of essential mathematical concepts, many firms look for applicants with these backgrounds.
Gaining practical experience applicable to actual working conditions might be helped by a postgraduate degree or certification course.
We have chosen the best data analytics professional course from IIM SKILLS and the business analytics executive program from IIM Calcutta. Both of the analytics courses will give you an in-depth understanding and practical aspects of the industry.
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So let’s see the course review of IIM SKILLS vs. IIM Calcutta Data Analytics Course in detail
About IIM SKILLS
IIM SKILLS is one of the top education platforms that provide skill-based course learning and was established by Mr.Vaibhav Kakkar in 2015.
IIM SKILLS makes it simple for newbies to comprehend each subject clearly by breaking down difficult ideas into an easy practical manner.
All of their courses are informative and inspiring which will undoubtedly surpass your expectations and match your requirements with affordable prices.
In-demand fields such as finance, marketing, analytics, writing, and competitive exam coaching will assist you in upskilling your profession in a few months through their live online and self-paced learning methods.
Overview of Data Analytics Masters Course
In order to grasp an in-depth knowledge of data analytics, IIM SKILLS provides a 6-month rigorous data analytics master course that consists of 160 hours of instructor-led live online training and 100+ hours of practical assignments. You can even get lifetime access to the learning management system (LMS).
The course is beginner-friendly and doesn’t require any prior experience. Their extensive course curriculum with 9 modules is suitable for both beginners and professionals that will take you from basic to advanced level. To help you get the practical aspects of industry you will work on 10+ case studies and 7+ live projects. Even Throughout the course, you will master 7+ tools. You can also choose a single module as per your requirements.
After successful completion of the course, they provide a 100% assured internship of 2 months. That will help you become ready for the industry and add-on experience.
About IIM Calcutta
In partnership with MIT’s Alfred P. Sloan School of Management, the West Bengal Government, The Ford Foundation, and Indian Business all worked together to establish the Indian Institute of Management Calcutta (IIMC). It was India’s first national institute for postgraduate studies and management research, in November 1961.
Providing top-notch management education, IIMC has developed through time with a global reputation. Through its doctoral and post-doctoral degrees, executive training programs, research, and consulting activities, it has been a pioneer in the professionalization of Indian management,
The institution now performs its functions as a self-governing entity, constantly adapting to achieve its objectives in a commercial context that is always changing.
Overview of Business Analytics Program
This in-depth executive program includes 12+ modules that will help today’s managers in setting a strong foundation in business analytics. The method of teaching will be highly interactive and make use of a variety of practical tools and approaches, including lectures, real-world case studies, quizzes, assignments, and examinations. In between and the end of the program, there will be two 5-day campus immersion modules which are mandatory for participants for successful completion of the program.
This Executive Program of Business Analytics covers all the facets of business, marketing, finance, and operations and provides you with a solid broad instruction in data science.
It is not a specialization course but it will expose you to a wide range of data science concepts as well as how business choices can be influenced by analytics.
Eligibility Criteria:
| IIM SKILLS |
IIM Calcutta |
- An undergraduate degree in any field.
- Basic expertise in computers and technology.
- Having prior expertise in statistics and mathematics will be an added advantage, but it is not mandatory.
|
- At least graduation or post-graduation with a minimum 50% point.
- Participant should have 2 years of work experience.
- IIMC will conduct the examination and selection.
|
Admission Process:
| IIM SKILLS |
IIM Calcutta |
- You can simply become part of this course by registration.
- You can successfully enroll in this course by filling out registration details such as name, email id, and phone number followed by fee payment.
|
- If a candidate meets the qualifying requirements, the assessment of their educational background, professional experience, and statement of purpose will be considered to make the final admission decision.
|
Mode of Learning:
| IIM SKILLS |
IIM Calcutta |
| Online |
Online |
Learning Resources:
| IIM SKILLS |
IIM Calcutta |
| IIM SKILLS comprehensive learning management system offers a library of pre-session readings, recording of sessions, and other reference materials to help you progress step by step.
You can even track your progress and obtain additional materials in LMS.
There is no limit or restriction on the amount of views. |
The majority of book and reading material delivery occurs during campus visits.
The online learning management system is also used often to distribute pre and post-session reading materials. |
Course Duration:
| IIM SKILLS |
IIM Calcutta |
| 6 Months |
12 Months |
| Classes are taught on Every Saturday – Sunday
From 10 AM to 1 PM |
Classes will be held on Sundays
From 9 AM to 12 PM |
Course Fees:
| IIM SKILLS |
IIM Calcutta |
| Rs.49,900 + 18% GST or
Rs.19,900 + Taxes for Any Single Modules
You can also get a 100% Money back guarantee after the first session if you do not like the course.
There is also a 10% group discount on 3 or more registrations. |
Registration Fees: Rs.10,200
Processing Fees: Rs.20,000
Total Fees: Rs.5,50,000 + Taxes |
IIM SKILLS vs. IIM Calcutta Data Analytics Course’s Aims and Objectives:
| IIM SKILLS |
IIM Calcutta |
- To acquire learners with the fundamentals of data analysis, types of analysis, data mining, and many more,
- To prepare students to do data pulling, cleaning, manipulating, and analyzing business analytics jobs
- To deepen your knowledge of Excel, Power BI, and Tableau as data analytics tools and how to use them
- Using Python as an alternative to handle datasets and spreadsheets
- To have an in-depth understanding of statistical data analysis, which supports corporate decision-making
|
- Excellent executive education in business analytics is offered through the program
- Participants’ managerial and leadership skills will be improved.
|
IIM SKILLS vs. IIM Calcutta Data Analytics Course Curriculum:
| IIM SKILLS Core Modules |
Subject Covered |
| Module 1:
Data Analytics Using Basics and Advanced Excel |
Introduction to Data Handling
Data Visualization in Excel
Data Analysis and Reporting
Data Manipulation Using Functions
Overview of Dashboards
Create Dashboards in Excel- Using Pivot Controls |
| Module 2:
Data Analytics Using Visual Basic Application (VBA) |
Introducing VBA
How VBA Works With Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions and Procedures in VBA – Modularizing Your Programs
Objects and Memory Management in VBA
Communicating with Your Users
Others |
| Module 3:
Data Analytics Using SQL |
Basics RMDMS Concepts
Utilizing the Object Explorer
Data Based Object Creation (DDL Commands)
Data Manipulation (DML Commands)
SQL Server Reporting Services
Other |
| Module 4:
Data Analytics Using Power BI |
Introduction
Data Preparation and Modeling
Go to Columns and Add, Remove, and Keep Rows
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI) |
| Module 5:
Data Analytics Using Python-I |
Introduction to Basic Statistics
Introduction to Mathematical Foundations Introduction to Analytics and Data Science
Python Essentials
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python |
| Module 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 |
| Module 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 |
| Module 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 |
| Module 9:
Alteryx |
Data Analytics Using Alteryx |
Tools Covered by IIM SKILLS
| IIM Calcutta Modules |
Subject Covered |
| Module 1: |
Machine Learning |
| Module 2: |
Advanced Topics in Analytics: Big Data, Cloud Computing |
| Module 3: |
Data Mining Applications in Python |
| Module 4: |
Business Analytics and Competitive Advantage |
| Module 5: |
Data Visualization and Descriptive Analytics |
| Module 6: |
Supervised and Unsupervised Learning |
| Module 7: |
Deep Learning Business Applications |
| Module 8: |
Statistics and Mathematics for Business Analytics |
| Module 9: |
Financial Analytics |
| Module 10: |
Marketing Analytics |
| Module 11: |
Operational Analytics |
| Module 12: |
Analytics in Networked Platforms |
| Module 13: |
Responsible AI and Ethics in Analytics |
| Module 14: |
Cyber Analytics |
IIM SKILLS vs. IIM Calcutta Data Analytics Course’s Ideal Audience:
| IIM SKILLS |
IIM Calcutta |
The data analytics course is appropriate for you if you work in one of these fields:
- Fresher
- UG/PG Students
- IT Specialist
- Banking and Finance Experts
- Marketing Executives
- Sales Professionals
- Supply Chain Network Manager
|
Professionals who want to switch their career to analytics or to enhance their data-based ability and analytical skills
Experts who are sufficiently knowledgeable in high-school mathematics |
Certification
| IIM SKILLS |
IIM Calcutta |
| You will earn a Master Certification from IIM SKILLS which is government-approved and worldwide recognized. You can use it as an assessment of your skills development in the field of data analysis. |
Those who successfully complete the program will get a certification of successful completion from IIM Calcutta.
The certificate will also include obtained course-wise grades. |
Learning Outcomes of IIM SKILLS
- Recognize principles related to Excel and SQL, such as query and command tools, and statistical terms including correlation, central tendency, dispersion, and regression
- Learn the complex details of Python concepts such as lists, contributions, branching, dictionaries, sets, objects, and classes.
- Discover how to write Python programs utilizing the concepts of conditions, variables, loops, functions, etc.
- Get familiar with using Pandas to load and save data while learning how to read and write files in Python.
- You will gain an extensive grasp of data interpretation in Python by utilizing Pandas’ data frame management, Scikit Learn’s machine learning application, and NumPy’s multi-dimensional arrays.
- Analyze the performance of data analytics using Python Libraries.
- Understanding of classification techniques and linear and non-linear regression models for use in data analytics.
- Become proficient in Excel for business analytics.
- Learn how to apply clustering methods like K means, DBSCAN, and hierarchical clustering.
- Become familiar with Visualization tools (Power BI) and Microsoft’s analytics.
- Learn about visualization techniques including waterfall visualization, heat maps, market basket analysis, and Pareto analysis.
- Learn about the model and statistics of Tableau and hone your skills to make interactive dashboards.
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Why choose IIM SKILLS?
IIM SKILLS is an excellent organization that upholds its commitment to providing top-notch knowledge and skills development at affordable prices.
Since 2015, more than 35,000 people have found IIM SKILLS to be an ideal platform to launch, start or enhance their career.
An increasing number of skill-oriented professions are being created as worldwide opportunities expand significantly.
IIM SKILLS provides the ideal environment for people to launch their professional careers or improve in their current field in order to bring to the front and center these new and advanced skills.
The professionalism that IIM SKILLS promotes in their data analytics master course is outstanding. You may fully profit from the course thanks to the up-to-date content, student-centered pedagogy, expert faculty, and 24×7 support.
Learning Outcomes of IIM Calcutta
- Recognize and use business analytics principles and models
- Able to analyze, synthesizing, and solving unstructured business data especially
- In corporate contexts, recognize, model and resolve decision-based issues
- Interpret the finding to choose the best course of action
- Develop a passion for creativity and business improvement
Why choose IIM Calcutta?
One of the top business schools in the Asia Pacific Area and one of India’s top three business schools is the Indian Institute of Management Calcutta.
The goal of IIM Calcutta is to become a premier international center for management education is is now a real melting pot of brilliance, with some of the top mentors and students.
The course will give students the chance to study in culturally different environments, preparing them to function as truly global managers.
| Contact Information |
| Phone Number: |
+91-33-2453 7071
+91-33-2438 0500 |
| Email ID: |
mgrldp@iimcal.ac.in |
Professional Courses from IIM SKILLS
Frequently Asked Questions on IIM SKILLS vs. IIM Calcutta Data Analytics Course
Q. Is data analytics and business analytics the same?
Both business analysts and data analysts use data. Both of them help their firm to make data-driven decisions. Business analysts often spend more time addressing business issues and making recommendations, whereas data analysts typically spend more time working with the data itself.
Q. Can a fresher obtain one of these courses?
Anyone can obtain the required skills and education from both of these institutions to work in the data analytics industry. However, there are some eligibility criteria you need to follow before enrolling.
Q. Does data analytics have a bright future?
The constantly changing data and its worthwhile conclusion indicate a promising future. This suggests that more businesses are willing to employ qualified data analysts. For people looking for a stable job, and excellent incomes in the expanding industry, there are unlimited opportunities.
Q. Can I get a data analytics job after the course?
Yes, both of the courses provide placement support. You can increase your chances of getting a job as a data analyst by gaining experience through case studies, internships, live projects, and certification.
Concluding thoughts on IIM SKILLS vs. IIM Calcutta Data Analytics Course
Both of the courses listed above from IIM SKILLS and IIM Calcutta give a certificate and placement which is a great method to prove to yourself that you finished the course and gained an in-depth understanding of the subject.
Whichever course you pick, both of these courses will give you a solid education and essential skills required in the industry. If you have any inquiries regarding courses you can connect the institution directly through contact details.
by Sana Aijaz | Jul 2, 2025 | Courses, Data Analytics, Institute Review
Curious to know about data? If you want to learn data analytics completely and correctly, we encourage you to read this article. A key decision in determining your career in the constantly increasing subject of data analytics may be selecting the appropriate institute. The perfect institute provides thorough data analytics training as well as reliable placement opportunities to launch your career in the industry. In this article, IIM SKILLS vs. Skillshare Data Analytics Course, we compare two of the top providers of data analytics education. Both organizations are famous for their professionalism in the field and commitment to supporting placements.

Let’s dive into the features that set them apart from the competition.
There are several opportunities for both newcomers and experienced professionals to succeed in the expanding field of data analytics. Businesses are now able to produce and keep more data than ever before, and with unparalleled accuracy, thanks to the rapid advancement of technology. Naturally, this has increased demand for data analysts. Therefore, earning a certificate in data analytics is an excellent method to kick start your career in this field. So, if you are looking for the best data analyst training and placement program, then let me tell you that it is offered by two most renowned institutes that is IIM Skills and Skill share with great features.
Data Analytic courses are provided by universities, colleges, and specialized training institutes along with several academic institutions. They are available at many levels, including undergraduate, postgraduate, and professional certificates, making them suitable for people with different educational backgrounds and professional aspirations.
Analytics of Data and Its Importance:
The introduction of data analytics has revolutionized and metamorphosed the way we look and use data due to which it is termed as a game-changer.
It enables organizations and decision-makers to convert data into insightful knowledge by bringing to light the hidden opportunities within massive databases. Incorporating ethics and creativity as we move forward on this data-driven route will help us design a future in which data analytics continues to have an impact on and improve the world around us.
In today’s world, use of data analytics has had a significant impact on how choices are made and problems are solved across all industries. Businesses can obtain a competitive advantage by predicting consumer preferences, market trends, and upcoming threats by combining historical and present data. Data-driven insights could assist firms in increasing their total efficiency and profitability in addition to improving customer happiness, streamlining processes, and resource allocation.
Big data and analytics are utilized in the professional employment market to understand consumers and operations. This type of tendency is expanding on a daily basis in the job market for professionals. Online courses of all levels, from beginner to expert, are readily available and offer the potential to develop one’s knowledge and career. While some courses focus on a variety of subjects, others have a more narrow focus. The beginning levels of different courses vary. Choosing the best path for you is essential when beginning a career in data analytics.
We’ll compare IIM Skills vs Skillshare Data Analytics Course to examine how the two institutes compare and how each will help students launch a career in data analytics.
An Example of a Data Analytics Application in Real Life:
Let us take the example of Netflix. A very highly realistic example of data analytics is the personalized viewing recommendations provided by Netflix. What do you think? What impact does this feature have on Netflix’s potential for commercial success, and how does Netflix reach to such kind of suggestions?
As you might have anticipated, it all begins with data collection. Netflix collects a range of data from its 163 million global subscribers, including what viewers watch and when, what devices they use, whether they pause and resume a show, how they rate certain content, and precisely what users search for when looking for new content to watch.
Netflix by using data analytics connect all these various data sources and create a comprehensive viewing profile for each subscriber. Based on important indications and trends within each user’s viewing pattern, the system for recommendations offers personalized (and brilliantly accurate) choices for what the user might want to watch next.
This kind of tailored service has a significant impact on the user experience; according to Netflix, personalized recommendations account for over 75% of viewing engagement. You can determine that Netflix continuously controls the global streaming business by looking at their revenue and usage figures, which continue to rise year after year. This efficient use of data analytics is also significantly added to the growth of the organization.
Benefits of Taking a Data Analytics Course in Today’s Time:
Studying data analytics can offer many advantages and lead to intriguing prospects in the data-driven world of today. There are several advantages to taking a data analytics course nowadays, some of which are stated below:
- Gaining skills in data analytics allows you the opportunity to collaborate with a range of teams and businesses, look into international job opportunities, and get a global perspective.
- Data analytics enhances problem-solving abilities that are beneficial in both the personal and professional spheres by evaluating complex data sets, discovering essential information, and coming up with logical solutions.
- Since data analytics can facilitate data gathering, processing, and interpretation, it is pertinent for a variety of professions. It provides a flexible skill set suitable for all sectors.
- Data analytics professionals usually earn high salaries as a result of their specialized knowledge and the imbalance between supply and demand in the sector.
- The increased need for data analytics experts across industries fosters a thriving labor market and alluring employment prospects.
- Data analytics helps evidence-based decision-making by making it easier to spot trends, patterns, and effective techniques. This increases the effectiveness of decision-making above intuition or guesswork.
- Enrolling in a data analytics course will allow you to keep up with the most recent advancements and trends in the rapidly expanding field of data analytics while also continuing your education and development.
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IIM SKILLS vs SkillShare Data Analytics Course – A Comparative Analysis:
IIM SKILLS:
IIM SKILLS is a well-known, eminent institution in the field of educational technology. Since 2015, the institute has offered professional upskilling courses with the aim of offering high-quality education at a fair price. IIM SKILLS, a New Delhi-based company, offers online instruction to the general public.
With IIM SKILLS, you can learn from any location in the world with ease. You can participate and attend the interactive live sessions from anywhere, doing away with the need to commute and conserving valuable time and energy. They provide a dynamic, interactive virtual classroom that encourages cooperation and idea-sharing. You can interact with your peers and mentors and gain insightful knowledge.
One of the very focused professional courses offered by IIM SKILLS is the Data Analytics Course. A thorough grasp of data and how it may support firms in thriving in this highly volatile marketplace is given to you through the course’s demanding curriculum.
SkillShare:
Skillshare is an online learning platform that offers a variety of courses so people may pick up new skills or hone their current ones. To make learning interesting and engaging, it provides interactive video classes, projects, and community involvement.
With its headquarters in New York City, Skillshare was established in 2010. With millions of users and thousands of lessons, it has expanded through time to become one of the biggest online learning platforms. The online education firm Open Classrooms purchased Skillshare in 2019. Since then, Skillshare has continued to increase the number of services it offers and the size of its instructor and learner communities.
Skillshare provides training in a variety of fields, including design, business, technology, creative writing, photography, data analytics and many others. Web programming, photography, illustration, graphic design, and creative writing are a few of the courses that are very popular. The portal additionally provides courses designed especially for freelancers and business owners, as well as courses meant to boost people’s professions. Regardless of skill level or experience, there is something for everyone in the courses because they range in duration and level of difficulty.
The commitment of IIM Skills to a larger, more uniform collection of courses is the main distinction between it and Skillshare. Both platforms have different standards for instructors, with IIM Skills requiring subject-matter experts while Skillshare allows anyone to teach courses.
I’ll give an overview of each platform, its price, the kinds of courses it offers, its advantages and disadvantages, and more below.
IIM SKILLS vs SkillShare Data Analytics Course : A Brief Overview
IIM Skills and Skillshare are both popular online education training websites.
The e-learning opportunities available on each site are, however, extremely diverse. This overview is meant to assist you, the student, in making the choice between which option is preferable for achieving your personal and professional objectives because it may be customized to your particular intended result or gain.
Skillshare:
On Skillshare, there are more than 35,000 courses focusing on creative talents that may be uploaded and taught by anyone, regardless of background in education or the workforce.
They provide courses that range in length from ten minutes to many hours and are delivered in video format. It can be said that that Skillshare provides courses in bite-size or chunks. The fact that Skillshare is an ad-free platform is an added plus for uninterrupted study.
Users of Skillshare have the option to download lessons to their tablet or mobile device for offline learning.
IIM SKILLS:
About IIM Skills, it is a top Ed-tech institute, offering support to over 35000 students, including academic counseling, soft skills training, resume preparation, placement assurances, internships, and career enhancement services.
The IIM SKILLS course curriculum is rigorous, featuring modules, practical assignments, case studies, and learning resources to enhance retention and enjoyment of learning.
IIM Skills provides accessible education, offers payment options, refunds for unsatisfied students, and clear information about the institute, courses, and accreditation, assisting with course selection and accreditation clarity.
They offer live training courses ranging in length from a few hours to many months, along with practical assignments, case studies, real-world projects, and guaranteed placements.
IIM SKILLS Course Modules:
The Data Analytics Course has a 6-month complete training period and a 2-month, optional, unpaid internship.
IIM SKILLS offers a comprehensive course, focusing on real-world trends and market relevance, preparing students for employment in this complex field. The course covers all topics in-depth pertaining to data analytics. You gain proficiency in many different areas, such as clustering, DBScan, NumPy, and Python libraries.
Additionally, you gain experience using visualization tools and gain skill with interactive dashboards. Heat maps, Pareto diagrams, waterfall plots, and tree maps are all covered in the course. The data analytics programme at IIM SKILLS employs an immersive learning approach through live interactive sessions. Case studies, hands-on assignments, and periodic evaluations can all help you determine how well you’re grasping the numerous parts of the data analytics process.
These Are the Specific Course Materials for the Data Analytics Program:
- 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 Advance Excel (9 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)
Skills Acquired After Completing Data Analytics Course From IIM SKILLS:
- Have a basic understanding of statistical principles such central tendency, correlation, dispersion, and regression – Excel at SQL concepts like SQL command, query universal tool.
- Be familiar with the nuances of Python’s lists, sets, contributions, branching, dictionaries, objects, and classes.
- Learn how to develop Python programs by being familiar with concepts such as variables, conditions, loops, and functions.
- Practice dealing with, loading, and saving data with Pandas as well as reading and writing files in Python.
- Use NumPy’s multi-dimensional arrays, Pandas’ Data Frame management features, and Scikit-Learn’s machine learning implementation to develop a basic understanding of data interpretation in Python.
- Using Python libraries, comprehend the performance of data analytics.
- Possess a solid understanding of classification techniques, linear and non-linear regression models, and both for the Data Analysis work process.
- Gain skill in clustering methods including K-means, DBSCAN, and hierarchical clustering.
- Master the use of Excel for business analytics.
- Gain insight into the Tableau model and statistics, and discover how to create interactive dashboards.
- Become familiar with Microsoft’s analytics and visualization tools (Power BI).
- Become knowledgeable about visualization techniques, including a heat map, tree map, waterfall, Pareto, and market basket analysis.
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Course Modules of SkillShare:
Learning on Skillshare is restricted to only creative subjects, and the content is not standardized. Since anybody can become an instructor on Skillshare, course quality is frequently erratic and less dependable. You won’t always be able to access fixed-duration courses on the Skillshare platform. There is a wide range in the caliber of the lessons and information on Skillshare because it allows any user to become an instructor.
So, a Quick Navigation Over Skill Share Courses:
| Pros |
Cons |
| lots of courses |
costs can add up if you take lots of courses |
| lifetime access |
not accredited |
| mobile app |
some courses are lower quality |
| short bite-sized lessons |
some courses are very short |
| one fee to access many courses |
less courses to choose from (especially non-creative topics) |
| high quality course videos and site navigation |
|
Skillshare However, Provides Innumerable Data Analytics Courses Ranging From a Few Minutes to Hours. Below is a List of Some of Them:
- The Art of Data: Analytics in Everyday life (46 minutes)
- Data Analytics Habits: Practical Best Practice Tips (57 minutes)
- Advanced Google Analytics Course (3 hrs. 48 mins)
- Data Visualisation: From Data to Insights (1 hr. 58 mins)
- 30 days of Python: Coding for Beginners (5 hrs. 10 mins)
- 7 Super Excel Formulas: Excel at Microsoft Excel (37 mins)
- Alteryx Essentials (2 hrs.25 mins)
- Machine learning: K-means clustering (1 hr. 22 mins)
- Beautify Your Data: Intro to Data Visualisation using Tableau (1 hr.12 mins)
- From Zero to R Hero 1: Introduction to R programming (3 hrs.2 mins)
Skills Acquired After Completing Skill share Data Analytics Course:
- Enable participants to design, calculate, and create visually appealing dashboards, thereby enhancing decision-making efficiency.
- Acquire the skills necessary to use data to your advantage on a daily basis so you may achieve your objectives.
- Assist you in developing and implementing strong analytical work habits.
- Focus on data-driven marketing and decision-making
- Gain expertise in data visualization principles, best practices, and techniques to create engaging and high-quality visualizations that improve understanding and communication of data-driven insights.
- The learner will acquire the necessary tools to create intelligent and automated workflows suitable for the workplace, supported by three artifacts.
- Provides guidance on seven exceptional Microsoft Excel Formulas that can enhance efficiency and productivity in the workplace making more competent.
- Learn to construct the k-means clustering algorithm, a crucial tool for data mining and big data analysis, which automatically identifies patterns without labels.
- Provide participants with a comprehensive understanding of R programming, enabling statistical analysis and visually appealing results.
- Gain hands-on experience in transforming your data into visually appealing and insightful dashboards.
IIM SKILLS vs SkillShareData Analytics Course– Fee Structure:
IIM SKILLS:
Courses Fee – INR 49900 + taxes
Courses Duration – 6 Months
Skill Share:
Skill share is absolutely free for the first month.
However, it is totally possible to sign up for a free month with Skill share, gain access to top-notch online courses, and discontinue your membership before the trial period expires to avoid being charged.
You just have one option left after your one-month trial.
Annual membership costs $168 ($14 per month on average).
One significant distinction between the two institutions is that IIM Skills offers certification following the end of their course, whereas Skillshare does not.
IIM Skills offers lifetime access to the course contents.
Frequently Asked Questions on IIM SKILLS vs SkillShare Data Analytics Course
Q1. How soon should I implement an analytics strategy?
Analytics is a continual activity, not something you do just once or for a certain occasion. Businesses should keep analytics in mind and get ready to use it as a routine business function. Businesses start adopting a variety of strategic and general business decisions once they start to understand the potential of analytics to solve issues.
Q2. What needs to be given priority? SQL, Python, or Power BI?
Learning never stops, especially in data analytics. Due to the rapid changes in the data landscape, professionals will need to learn about modern data stacks as well as the numerous new ideas and fantastic tools that go along with them every day. Data specialists will soon be employing a variety of tools that they would have never heard of when they first started.
Q3. What types of data points are required for analysis, and how can businesses begin collecting them?
The most important resource for any analytics project is data, thus the company should ensure that it understands its consumer and business data in a systematic way. A long-term and short-term data strategy is necessary to collect the right data points in the right format. The objectives and methods for this strategy depend on the business (e.g., learn about customer or product selling strategies, or customer journey, etc ). Developing data collection methods and technological infrastructure that will enable us to store and present these data points in an understandable manner requires a certain level of expertise.
Conclusion on IIM SKILLS vs SkillShare Data Analytics Course
That concludes to IIM SKILLS vs SkillShare Data Analytics Course. You have, in my opinion, been given the best information that can lead you to making a wise decision to enroll in a data analytics school and excel in this profession.
Before enrolling in any organization, it would be a prudent choice to consider the pros and cons, as well as the feedback from alumni and the general public.
I hope the process is enjoyable for you and that this post helps you in your search.
by Swati Varli | Jul 2, 2025 | Courses, Data Analytics, Institute Review
As business data collecting expands and becomes more sophisticated, it is obvious that they want to use that data, and data analysts are at the forefront of this trend. Numerous reputable colleges and institutions across the globe provide certificate or degree programs in data analytics. By enrolling in courses on the topics, you may quickly lay your foundation to get started in this field.

We have chosen the best reputable data analytics courses from IIM SKILLS and KPMG. Both of the institutions have their own way of providing their education in this field. Here, in this article, we will see the comparison of IIM SKILLS vs. KPMG data analytics course review. You may choose based on your preferences or budget.
What is Data Analytics?
Many individuals are unfamiliar with the term “Data Analytics”. It simply refers to all the procedures and tools needed to analyze a collection of data and draw significant conclusions from it.
The word analytics covers a wide range of techniques and methods for data analysis. To advance your career as a data analyst, the whole course in data analytics will provide in-depth information in this field.
Analytics business tools can be quantitative, like statistical tools or software, or qualitative of life surveys in the medical area. They separate valuable data from irrelevant data, extract useful data, and then divide and analyze data to identify patterns and numerical statistics that might support a lucrative change.
In all big organizations, data analytics is a crucial part of developing strategies since it helps in forecasting consumer trends and behavior, boosting corporate efficiency, and making choices that are supported by facts.
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What Does a Data Analyst do?
- The main responsibility of data analysts is to gather and analyse data, spot trends, and patterns, and offer insightful recommendations based on the findings.
- Another key responsibility for those who operate in a commercial environment is to inform stakeholders of the results and facilitate data-driven decision-making.
- Any position as a data analyst requires the use of statistical techniques and tools for data visualization.
- The aims, sector, and major function of the organization all affect the job requirements for the data analyst.
Skills Required Being a Data Analyst
A data analyst’s skillset should be diverse, spanning from creative thinking and attention to detail to good communication, as data analysis is ultimately about extracting and expressing the knowledge contained in data. Some of the necessary soft skills are listed below:
- Good Attention to Detail
- Creative and Analytical Skills
- Problem-Solving
- Communication Skills
- Team Work
- Ethical Judgement
- A Mind for Math and Numbers
However, the technical skills necessary to become a data analyst, which starts with a firm grasp of a few essential programming languages, are the basis of all the data analysis skills you need. Such as,
- Excel
- SQL
- Statistical Analysis
- Programming
- Machine Learning
- Data Visualization
Why You Should Choose Data Analytics as a Profession?
The advantages of pursuing a career in the area of data analytics are listed below:
The Skills Needed for the Position Are Simple to Acquire:
Regardless of your current occupation, having a natural willingness to solve problems will make it simpler and more exciting for you to learn how to apply analytics techniques that are in demand and to specialize over time.
Demand for the Profession is High:
75% of Internet of Things providers believe that data analytics is the most in-demand profession, and more than 68% of them are having trouble hiring people with the necessary skills. The variety of professional possibilities is expected to increase in the future years.
Many Different Fields Provide Various Opportunities:
In a variety of development fields, such as healthcare, manufacturing education, media, retail, and even real estate, big data analytics help find affordable solutions and strengthen the capacity of decision-making
Depending on your skill sets and interests, you will have the chance to choose from many industries.
Well-Paid Profession:
When compared to other IT workers, the financial rewards of switching to a job in data analytics may be superior. Students and young adults who have a strong sense of logic, are computer literate and are outstanding communicators might choose a job in big data analytics if they want to earn more than the average salary and work set hours.
If Mathematics is Your Strong Suit, This is a Field Where You Can Succeed:
If you enjoy math and statistics, a job in big data analytics will let you develop your applied statistics, linear algebra, real analysis, numerical analysis, and graph theory abilities.
You Can Take Advantage of Decision-making Authority:
Any business that uses data analytics will benefit since it gives you the ability to make better decisions and a competitive advantage.
As more businesses rely on data professionals, you will collaborate with the organization’s key person to simplify decision-making layers from top to bottom and engage with local levels to put insights into action.
You are not limited to a certain field if you pursue a career in data analytics. You may quickly change career and advance in the areas that most closely match your interest if you have the necessary skillsets.
How Do I Become a Data Analyst?
The first step in learning how to become a data analyst is to pick up the necessary data skills. While some of these skills are simpler to learn on your own, others are more difficult.
However, the data analytics industry as a whole is so vast and varied that it can be challenging to even know where to begin when wanting to study data analysis. The ideal way to get started in a profession is with an organized learning environment that methodically goes over all the fundamentals. This way you will know right away what you still need to study.
For example, potential data analysts searching for information on how to get started in data analytics frequently turn to data analytics courses and data analytics boot camps. Technical training and practical experience are two things that a data analytics course should offer.
So let’s look into the data analytics course from IIM SKILLS and KPMG.
About IIM SKILLS
One of the top providers of online educational services in the World, IIM SKILLS has its headquarters in New Delhi, India. IIM SKILLS was established in 2015 and now they have a global presence in more than 35+ countries and more than 35,000+ trained that focus on high-quality professional courses and training at affordable prices.
To meet the upskilling and training needs of students and working professionals, IIM SKILLS provides a wide range of in-demand courses in writing, finance, and marketing.
Experts in the field and experienced instructors have built the course to fit the demands of the job market today. IIM SKILLS promises to provide students with hands-on, practical training that will provide them with the real-world skills they need to excel in their jobs or to launch their own businesses.
IIM SKILLS will help you in choosing your career path once you have successfully completed all of your courses through their placement assistance service. They provide guaranteed internships; help with resume and portfolio building, advice on careers, job recommendations, and assured interview calls.
Overview of Data Analytics Course
Data Analytics Course certification is a month-exclusive learning program. Anyone can start from the beginning to enter this cutting-edge sector if they are interested in data analytics.
By devoting 3-4 hours every week to instructor-led live online training by Industry experts that connect every topic from beginner to advanced level.
The curriculum of the course consists of 9 modules that cover every aspect of data analytics. The students can complete their course with 160 hours of lectures and 100+ hours of assignments.
Additionally, you will acquire 7+ live projects and, 10+ case studies in new-age technologies via 7+ tools that will help you get ready for the real-world industry.
For the learning materials, you will get lifetime access to their learning management system which consists, of pre-session recordings, recorded lectures, reading materials, and many more.
After successfully completing the course, you will get a certification and a two-month non-paid internship to put your studies into practice and prepare you for the workplace. After the training is over, the placement assistant team will give you a guarantee of the interview.
About KPMG Learning Academy
The reputable worldwide accounting firm KPMG (Klynveld Peat Marwick Goerdeler) is known as one of the world’s leaders in the professional services sector. KPMG is headquartered in the Netherlands and has branches across 145 different nations even in India. KPMG established a presence in the online learning market by providing a wide range of certification programs through KPMG Learning Academy. In India, KPMG provides courses that are specifically created for campuses and industry.
Students and professionals can improve in-demand skills by taking KPMG courses and KPMG certification courses in different topics such as financial accounting, human resource management, general management, data science, and many others.
The KPMG learning academy combines depth and breadth of subject matter expertise with its experience in learning design and technology. They provide a variety of pre-made digital, blended, and in-person courses using safe and user-friendly online learning platforms.
Overview of Business Analytics Training
KPMG in India provides working professionals and students with instructor-led and practical training in business analytics and machine learning. With the help of R, Tableau, and Advanced Excel, their course instructors can assist you in understanding the principles of business analytics, machine learning, and visualization.
The course covers a wide range of business analytics and machine learning topics in-depth, including practical modules, case studies, and the implementation of these ideas in real-world business situations.
To ensure full exposure to analytical and statistical tools and methodologies, participants are given real industrial data.
Mode of Learning:
| IIM SKILLS |
KPMG |
| Live Online |
Live Online |
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IIM SKILLS vs. KPMG Data Analytics Course’s Aims and Objectives
IIM SKILLS
- To introduce learners to 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 tasks
- To deepen your grasp of how to use Excel, Power BI, and Tableau as data analytics tools
- Python can be used to manage datasets instead of spreadsheets
- Have a thorough understanding of statistical Data Analysis, supports business decision-making
KPMG
- Focuses on the business challenge’s strategic components
- With the goal of guiding both groups toward data analytics and designed with programmers and non-programmers in mind
- Created and presented by a team of data specialists from KPMG in India
- A strategy that has been thoughtfully designed to provide students a complete knowledge of business cases in an organizational context
- Case studies cover every organizational function to give a full picture
- An entirely practical approach
Course Duration:
| IIM SKILLS |
KPMG |
| 6 Months
Every Saturday-Sunday
10 AM to 1 PM |
5 Weeks
Every Wednesday and Thursday –
7 PM to 9:30 PM
Sunday – 6 PM to 9 PM |
Course Fees:
| IIM SKILLS |
KPMG |
| The program fee is Rs.49, 900+ 18% GST which includes registration fees.
You can opt for any single module for only Rs.19, 900+ Taxes.
The candidate can also avail group discount on more than 3 registrations. They also provide a 100% money-back guarantee if you do not like their course after the first session. |
Please, Contact the institution for fee structure. |
IIM SKILLS vs. KPMG Data Analytics Course Curriculum:
| IIM SKILLS |
Core Modules |
Topics Covered |
| Module 1: |
Data Analytics Using Basics and Advanced Excel |
Introduction to Data Handling
Data Visualization in Excel
Data Analysis and Reporting
Data Manipulation Using Functions
Overview of Dashboards
Create Dashboards in Excel- Using Pivot Controls |
| Module 2: |
Data Analytics Using Visual Basic Application (VBA) |
Introducing VBA
How VBA Works With Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions and Procedures in VBA – Modularizing Your Programs
Objects and Memory Management in VBA
Communicating with Your Users
Others |
| Module 3: |
Data Analytics Using SQL |
Basics RMDMS Concepts
Utilizing the Object Explorer
Data Based Object Creation (DDL Commands)
Data Manipulation (DML Commands)
SQL Server Reporting Services
Other |
| Module 4: |
Data Analytics Using Power BI |
Introduction
Data Preparation and Modeling
Go to Columns and Add, Remove, and Keep Rows
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI) |
| Module 5: |
Data Analytics Using Python-I |
Introduction to Basic Statistics
Foundations of Mathematics: An Introduction
Introduction to Data Science and Analytics
Python Essentials
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python |
| Module 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 |
| Module 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 |
| Module 8: |
R for Data Science |
Data Importing and Exporting
Data Manipulation
Data Analysis
Data Visualization with R
Using R with Databases
Introduction to Statistics
Linear Regression: Solving Regression Problems
Testing |
| Module 9: |
Alteryx |
Data Analytics Using Alteryx |
| KPMG |
Topics Covered |
| Module 1: |
Fundamentals of Business Analytics |
| Module 2: |
Spreadsheet Modeling Using Advanced Excel |
| Module 3: |
Data Analysis and Cleaning Using R |
| Module 4: |
Predictive Modeling Using R |
| Module 5: |
Art of Storytelling Using Visualization |
Must Check,
IIM SKILLS vs. KPMG Data Analytics Course’s Tools Covered
| IIM SKILLS |
KPMG |
| Excel
Power BI
Python
Tableau
SQL
Alteryx
R |
R
Tableau
Excel |
Learning Resource Access:
| IIM SKILLS |
KPMG |
| Lifetime |
90 days |
IIM SKILLS vs. KPMG Data Analytics Course’s best for:
| IIM SKILLS |
KPMG |
- A Bachelor’s degree in any field
- Basic knowledge of technology and computer
- It can be advantageous to have prior experience in math and statistics, but it is not required
|
- Engineering Graduates
- Business Graduates
- Professional wanting to launch a career in data science that has no more than five years of job experience.
|
Certifications:
| IIM SKILLS |
KPMG |
| After completing the course you will gain government-approved certification that is industry recognized. |
You will get a certificate from KPMG that will help you in improving your work prospect. |
IIM SKILLS vs. KPMG Data Analytics Course’s Learning Outcomes:
After the completion of the data analytics master course certification syllabus, the candidate will be learning the following:
IIM SKILLS
- Recognize Excel and SQL concepts including command and query tools as well as statistical words like correlation, central tendency, dispersion, and regression
- Gain knowledge of the deep aspects of Python including dictionaries, classes, sets, branches, objects, and dictionaries. and lists
- Examine data analytics performance using Python libraries
- Acquire the skills necessary to create Python programs that make use of variables, loops, conditions, and other programming elements
- Learn how to read and write files in Python while becoming comfortable with loading and saving data using Pandas
- By using NumPy’s multi-dimensional arrays, Panda’s data frame management, and Scikit Learn’s machine learning tool, you will obtain an in-depth understanding of data interpretation in Python
- Knowledge of linear and non-linear regression models and classification algorithms for application in data analytics
- Develop your Excel skills for business analytics
- Acquire knowledge of clustering techniques such as hierarchical clustering, DBSCAN, and K means
- Gain knowledge of visual analysis methods such as Pareto analysis, market-basket analysis, heat maps, and waterfall visualization
- Get to know about visualization tools such as Power BI and Microsoft analytics
- Develop your skills to create interactive dashboards by learning more about Tableau’s model and statistics
KPMG
- To clean and analyze data, using R
- Use both descriptive and inferential statistics while making business decisions
- Make stories and dashboards
- Use the proper techniques to produce real-time prediction models
- Adding live website data into Excel
- Create multiple client segments based on behavior trends
Jobs after Data Analytics Courses
The industry you work in influences the direction your career will go as a data analyst. With a bachelor’s degree in statistics, mathematics, or computer science, a person seeking to become a data analyst may often start the profession and be qualified for an entry-level data analyst job right away after completing a data analytics certification course.
Some people change careers from a similar sector, such as business, economics, or even the social sciences to data analysis, generally by taking a data analytics course in the middle of their current job.
Data Analyst, Data Scientist, and Data Engineer are the three primary subfields of work in data analytics and while they are all different job titles in and of themselves, you may think of them as the three major categories in which the majority of data occupations belong.
There are numerous combinations of these roles, the majority of which represents an advancement from one of these roles such as the transition from data engineer to data architect, or a specialization within them, frequently based on industry such as the transition from data analyst to business intelligence analyst.
Let’s take a deeper look at a few typical data roles along the professional path for data analyst:
- Data Scientist
- Data Analyst
- Business Analyst
- Business Intelligence Analyst
- Medical and Healthcare Analyst
- Market Research Analyst
- Operations Research Analyst
- Intelligence Analyst
FAQs
Q. What is the salary of a fresher data analyst in India?
In India, the starting salary for a data analyst is around 1.7 Lakh annually. The highest income a data analyst may receive is 11.3 lakhs per year.
Q. Is data analysis a stable job?
Some of the most desired specialists worldwide are skilled data analysts because data is everywhere and is expanding more and more as the demand for data analysts. Data analysts earn higher than average salary and benefits, especially at the entry-level, because demand is high and the pool of qualified candidates is small.
Q. Can a fresher become a data analyst through these courses?
Yes, definitely you can. Nowadays, employers look for people who have the necessary data skill set you can gain through completing data analytics courses. You can use a portfolio of your complete projects to apply for entry-level data analyst positions.
Conclusion
That’s it. We hope you get a clear understanding of data analytics and the courses from both IIM SKILLS and KPMG. Here, both of the courses will help you acquire the essential data skills and you will get practical experience in an advanced learning style with the knowledge. No matter, which course you will opt for, we are sure that your learning time is being put to use where it will be most helpful to you through both of these courses. Before enrolling and to know more information about the courses, we have provided the contact details of the institutions so that you can get your queries solved.
by Sana Aijaz | Jul 2, 2025 | Courses, Data Analytics, Institute Review
Looking to work in data analytics? Ecstatic to step inside this enormous hub, where one can push their exploration to the extreme if they choose so. Careers in data analysis are booming in the Big Data era. Even though beginning your journey into data analysis may seem scary at first, with the right resources and guidance, you can develop the skills and knowledge needed. In order to get help with this, you are encouraged to read this post, IIM SKILLS vs Dataquest Data Analytics Courses. You may get in-depth professional guidance here while learning everything there is to know about data analytics. You’ll learn more about these two esteemed universities and their cutting-edge features as well.

Since data analytics goes beyond merely “getting data,” it might be difficult to impart knowledge in an instructional environment. Other aspects of data analytics, however, are more easily understood and relate to knowledge that the majority of us already have in our daily lives. Simply said, data analytics is the use of statistics and measurements to a phenomenon that is unclear or ambiguous in order to get a deeper understanding.
The Uses of Data Analysis
The following are a few of the common uses for data analysis:
Better Healthcare Provider
Hospitals and healthcare facilities are able to foresee the early start of chronic diseases with the help of data analytics. They can foresee ailments that could develop in the future and assist patients in acting quickly to cut down on medical expenses.
Analytics for Fraud Detection and Risk
Data analytics is often used in banking to examine unusual transaction and client information. In order to reduce losses and stop fraud, banks also utilize data analytics to examine loan defaulters and credit scores for their clients.
Optimization of Transport Routes
To enhance routes and rates for their customers, businesses like Uber and Ola fully rely on data analytics. They use an analysis platform to find the ideal route and calculate percentage increases and decreases in taxi fares based on a variety of variables.
Improvement of Search Results
Companies like Google use data analytics to provide users with search results based on their interests and search history. In order to offer its customers the best accommodations, companies like Airbnb also use search analytics. Search analytics are being used by companies like Amazon to provide their customers with personalized recommendations.
Enhanced Logistics
For supply network analysis and to reduce logistics latency, several organizations employ big data analytics. Amazon examines customer needs using consumer analytics, then promptly sends the appropriate products to them.
Limiting the Amount of Energy Used
The amount of energy utilized by households and businesses is being monitored by public-sector energy corporations using data analytics. They are adjusting the energy supply to take into consideration usage trends in an effort to save money and reduce energy use.
Recommend Read,
Beginner’s Advice for Getting Started With Data Analytics:
- Participate in online networks and forums dedicated to data analytics to gain expert advice and have discussions on related subjects.
Practice with real-world datasets and APIs to learn the ropes and improve your problem-solving abilities.
- The fundamental concepts can only be understood by someone with a strong background in mathematics and statistics.
- Acquire some programming skills in languages like Python or R that are commonly used in data analysis.
- By using blogs, webinars, and trade publications, you may keep up with the latest technologies, techniques, and trends.
IIM SKILLS
IIM SKILLS offers a 6-month Data Analytics course with a guaranteed interview and unpaid internship, covering 100+ hours of practical assignments and 160 hours of lectures. With seven or more active projects and ten or more case studies, they have a strong reputation in tool-based, hands-on learning. You will learn how to use 7+ tools in this course, including Excel, Python, Tableau, and SQL. A Master credential is given upon successful completion of the program.
Key Features of This Course Are:
The course covers seven real-world projects with well-known industries and more than ten case studies.
Students may enroll in the institute’s 2-month internship program when the course is completed. Students receive support with challenges and problem-solving as well as practical knowledge of all the ideas they have acquired in class. This guarantees that the pupils are well-equipped to handle the situation in the actual world.
The students get lifetime access to the Learning Management System (LMS), in which all the taught content, video recordings, and other material are archived.
Students have the chance to interact live with mentors and trainers who have a broad industrial background.
The institute provides full placement assistance as well as help with resume preparation.
Anyone who is fresher, UG, graduate, post graduate or from any professional background is eligible to apply for the course.
IIM SKILLS give you the convenience of learning from any location in the world. You can chip in and attend the real-time interactive sessions from anywhere, doing away with the need to commute and conserving valuable time and energy. They provide a dynamic and engaging virtual classroom that encourages cooperation and idea-sharing. You can interact with your peers and mentors and gain important insights that will aid you in your career as an investment banker.
IIM SKILLS provides a free demo session so that potential students can get a feel for the course format, the mentor’s teaching approach, and the session velocity. When you feel comfortable with the demo session, you can enroll yourself in this excellent data analytics education program.
Recommend Read,
Dataquest:
Dataquest is a data science bootcamp that offers free introduction courses, skill routes courses, and career path courses, the latter of which may be finished in around 45 weeks. Instead, then using video lectures to teach, Dataquest uses hard exercises and real-world projects to help students develop the skills they need to advance their careers. Experts in the industry serve as the instructors, and Dataquest collaborates with leading institutions and educators worldwide to create their courses.
To teach students how to think and solve problems like a data scientist, Dataquest uses interactive, hands-on coding challenges and projects.
From day one, students construct comprehensive projects using real data. A project portfolio that showcases the students’ data talents will be developed. Courses on skill routes, career paths, and free beginning courses are all included. In order to help students effectively gain the skills they need to grow their career; Dataquest teaches through tough activities and real-world projects rather than through video lectures. Experts in the industry serve as the instructors, and Dataquest partners with premier institutions and educators worldwide to create their courses. Dataquest gives students everything they require to launch a new career in the career path courses, including obtaining a route certification by finishing a capstone project. Students in the skill pathways courses can easily add in-demand talents to their resumes while gaining confidence by completing activities and projects that are applicable to the real world.
IIM Skills vs Dataquest Data Analytics Course
Dataquest is a different source of data-specific courses that offers a huge array of practical data science courses. Despite having a monthly subscription basis, Dataquest offers part of its information, including practice problems, for free.
Courses are helpfully organized by job and skill path (as well as by programming language), allowing you to focus your instruction. However, if you want a completion certificate or ad-free access, you’ll have to pay a monthly fee.
They list courses in topics including Python for data science, introduction to SQL, databases, and R data structures. There ought to be enough to get you going.
Comparison:
Dataquest is a self-paced data analytics program that runs on monthly/yearly subscriptions entirely in online platform. Contrarily IIM Skills also is self-paced data analytics program but it has a charge of INR 49900 excluding taxes.
Dataquest offers multiple career tracks which include portfolio projects and a focus on either R or Python. IIM Skills also offers multiple courses including Data analytics with R and Data analytics with Python and many more.
Their new career paths get you job-ready in 3-9 months and grants you a certificate. On the contrary, IIM Skills offers all of its courses a 100% guaranteed interview with placement assistance.
Comparison of Syllabus: IIM Skills vs Dataquest Data Analytics Course
| IIM SKILLS |
Dataquest |
- Basic & Advance Excel
- Introduction to Data Handling & Visualization
- Concept of Data Analysis & Reporting
- Understanding Data Manipulation
- Introduction to VBA
- Components of Programming Language
- Object & Memory Management
- Procedures & functions in VBA
- Understanding SQL
- Introduction to RDBMS Concept
- Data-Based Object Creation
- SQL Server Reporting & Integration
- Introduction to PowerBI
- Understanding Data Preparation & Data Modeling
- Concept of Data Analysis Expression
- Introduction to Mathematical Foundation & Basic Statistics
- Understanding Analytics & Data Science
- Introduction to Python Essential
- Concept of Cleansing Data with Python
- Data Analysis & Visualization Using Python
- Understanding Advance Visualisation Tools
- Introduction to Data Analytics Using Tableau
- Concept of Data Analysis with R
- Data Science Using Alteryx
|
- Intro to R syntax
- Data structures
- Loops, iterations, functions, and control flow
- Data visualization
- Data cleaning
- SQL fundamentals
- Intermediate SQL
- Getting data from APIs and web scraping in R
- Beginner to intermediate statistics using R
- Probability fundamentals and conditional probability
- Hypothesis testing
- Linear regression
- Machine learning fundamentals
- Interactive web apps with R
- Python Introduction
- The Command line
- Advanced Topics in Data Science
- Deep Learning in Python
- Data Cleaning in Python
- Working with Data Sources Using SQL
- Probability and Statistics
- Introduction to Algorithms
- The Command Line and Git
- Data Pipelines
- Introduction to Data Analysis with Excel
- Analyzing Data with Microsoft Power BI
|
Comparison of Tools: IIM SKILLS vs Dataquest Data Analytics Course
| IIM Skills |
Dataquest |
| R
Python
Excel
Tableau
Power BI
SQL
Alteryx |
R
Python
Excel
Tableau
Power BI
SQL
Spark |
Comparison of Fee Structure: IIM Skills vs Dataquest Data analytics Course:
| IIM Skills |
Dataquest |
| INR 49900 + GST |
Monthly/ yearly subscription (depends on the course) |
Comparison of the Course Modules of IIM Skills vs Dataquest Data Analytics Course:
| IIM SKILLS |
Dataquest |
| IIM Skills has introduced a very advanced data analytics course to help students learn and start their career in this grooming world of data. It focusses on real world trends to prepare students for employment upon completion of the course.
Below are the selected courses modules of IIM Skills:
- 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)
|
Dataquest introduces a complete set of data analytics courses to build concepts and grow your technical skills.
Below are the selected courses modules of Dataquest:
- Introduction to Python Programming (3 Hours)
- Introduction to Deep Learning in TensorFlow (12 hours)
- Introduction to Pandas and NumPy for Data Analysis (13 hours)
- Decision Tree and Random Forest Modeling in Python (6 hours)
- Hypothesis Testing in R (1 hour)
- Introduction to Git and Version Control (4 hours)
- Optimizing Machine Learning Models in Python (4 hours)
- Command Line for Data Science (4 hours)
|
Comparison of the Learning Goals: IIM Skills vs Dataquest Data Analytics Courses:
| IIM SKILLS |
Dataquest |
Aspirations for these course modules include the following:
- To make it easier for students to perform business analytics tasks that includes collecting, cleaning, manipulating, and evaluating data.
- To gain comprehensive statistical Data Analysis knowledge, that supports business decision-making.
- To use the Python language
- To familiarize students with the concepts, and applications of data mining and data analysis.
- Deepen your understanding of Data Analytics techniques by utilizing tools like Excel, Tableau and Power BI
|
Aspirations for these course modules include the following:
- To familiarize students to using the UNIX terminal, browsing filesystems, user permissions, developing Python scripts, and command line text processing utilities like awk and sed.
- To assist learners in understanding the fundamentals of deep learning, such as model construction, training, and evaluation utilizing the TensorFlow framework.
- Introduce fundamental data science topics including computation, coding, data manipulation, and operations while providing rapid feedback using browser-based scripting.
- To boost productivity and save time, teach beginners the fundamentals of Python and optimize programming with NumPy and Pandas.
- Learn how to set up Git on your computer, how to resolve conflicts by merging them, and how to keep an active GitHub account for your science and data analysis projects.
- Become proficient in the development and use of Decision Tree, a well-known supervised model in Data Science, as well as the Random Forest algorithm, a reliable prediction approach.
- Learn advanced statistical concepts, for example multi-category chi-square testing and significance testing in order to increase your R data processing abilities.
- Know how to efficiently optimize machine learning models by using the finest strategies and methodologies.
|
IIM SKILLS offers an extensive yet thorough curriculum that is both current and pertinent. The curriculum is regularly updated to reflect the most recent developments in the subjects. The high-quality curriculum offered by IIM SKILLS includes all the necessary elements for career advancement. Paid internships that give you a sense of how things function in the real world serve as a way to put your knowledge to the test. You’re motivated by the internships to go above and above and be your best selves.
The rigorous IIM SKILLS course curriculum includes case studies, practical assignments, special modules, and a wealth of learning materials to facilitate learning. The offered slides, presentations, and notes make it easier to retain material and allow one to enjoy studying rather than memorizing everything mechanically.
With more than 35000 graduates, IIM SKILLS is a reputable Ed-tech educational institution that provides adequate student support, including problem-solving, academic counseling, soft skills training, resume preparation, placement assurances, internships, and other varied career progression services. Even though the course has long since concluded, IIM SKILLS is known for providing exceptional support to its students. The after-course support is one of the distinguishing features that makes IIM SKILLS stand out as one of the most reliable schools.
A crucial component of the institute that is available to students for free and for the rest of their lives is the Learning Management System. Once you sign up for the course, you have access to their e-portal. The previous batches’ video recordings are available here, together with study materials, instructions, and schedules for the upcoming classes.
You can post questions and concerns to the support desk any time of day or night. All inquiries are answered 48 hours after they are posted. IIM SKILLS offers practical, technology-driven courses for students to become tech-savvy and confident in handling complex business decisions. It also provides soft skills training, resume preparation, and mock interview sessions, ensuring students build a strong foundation for their careers.
Dataquest is an online learning environment focused on projects that provides useful tasks. Students have access to more than 70 courses, 5 skill tracks, and 6 career options.
The career paths emphasize on real-world projects, such as data analysis with Python. Depending on your choice, a career path can be completed in eight months at five hours each week. It is a self-paced program with 17 projects and 27 courses that is suitable for beginners.
For instance, the career path for business analysts has 15 courses, one of which covers SQL data extraction. At a pace of five hours per week, it takes students four months to complete eight projects.
The career track for data scientists involves ten months of study time at a rate of five hours per week and consists of 38 courses. In addition to installing Git and integrating GitHub, students will complete 26 projects.
Learners can join to access free initial lessons. An annual subscription of $399 or a monthly cost of $49 is required to upgrade to Dataquest’s premium membership.
So, Dataquest is one of the most well-liked platforms for learning interactive data science. Their instructional approach and project-based learning style are quite effective even though they don’t have videos for every topic.
This concludes the comparison of the two leading providers of data analytics courses. I hope the preceding comparison of IIM Skills vs. Dataquest Data Analytics Courses will be sufficient for you to make an informed decision regarding the best institution to attend in order to develop your career through the study of data analytics.
Must Check,
Frequently Asked Questions Regarding IIM Skills Vs Dataquest Data Analytics Course:
Q1. When searching for a job in data analytics, which is more important: experience or course certification?
Impressing hiring supervisors with relevant experience is a terrific way to stand out, yet gaining experience typically happens after receiving a degree. You must first enhance your skills with analytics tools if you want to contribute to an open-source project or get an internship so that you can add experience to your resume. Courses are a wonderful method to do this.
Q2. Do I Need a Data Analytics Course to Get a Job?
A data analytics course is a terrific method to receive a formal education in data analytics and show off your abilities on your data analyst CV, but it’s not the only approach to launch your data analyst career. If you’ve developed the abilities required to secure an entry-level position, you can demonstrate them by building a portfolio and acquiring experience in the field.
Q3. How do I begin using data analytics?
In order to understand the quantity and quality of the data you hold, where it is housed, and what significant business questions you would like answered, we have found that a data discovery workshop works effectively as a starting point.
Collaborate with a data partner.
Among the outsourced analytics projects that Objective’s team of data scientists works on include consulting, proof-of-concept work, the creation of visualisations, and Power BI Dashboards. We can also supplement the technical staff you already have in-house with new skill sets.
Conclusion on IIM SKILLS vs Dataquest Data Analytics Course:
Ultimately, the decision between IIM SKILLS vs Dataquest comes down to what career you’re pursuing. Both offer the best of their facilities to an extent.
Compared to Dataquest, IIM Skills offers a lot more alternatives. As a result, Dataquest may offer you a career path that suits you better.
Both sites also provide simple payment options. IIM Skills, on the other hand, demands a one-time payment up front, whereas Dataquest provides monthly, annual, and lifetime alternatives.
Adding data analysis to your skill set can only be a good thing, no matter what career route you’re on. Data analytics is quickly becoming an essential job talent as the labor market changes to meet the demands of the twenty-first century. Stay ahead of the game!
Wish you all the best for your future.