Fill This Form & Get Free Career Counselling Call Back Form Us.

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13 Reasons why

Introducing our exclusive Super30 Data Analytics Batch—an extraordinary program designed for only 30 most serious and dedicated candidates. This unique opportunity allows you to be mentored by industry leaders who have distilled their knowledge and expertise into an intensive 6 month curriculum. The program comprises 6 months of immersive learning-featuring an exclusive module on the art of problem solving along with the other modules. Giving you a competitive advantage over any other candidate competing for the same role.

Right curriculum - to have you covered

1. Learn all 3 pillars of Data Analytics: Math, Coding, and Business

2. Learn the Art of Problem Solving in Data Analytics

3. Learn to use ChatGPT for Data Analytics

Best Learning Experience - Where Fun Meets Growth

4. Leaderboard

5. Ai code mentor

6. Personalize notifications

7. Daily learning streaks

Practice real problems - prepare for top companies.

8. 60+ practice exercise and case studies and 70+ quizzez

9. 12 + Tests

10. 10+ industry projects

Getting The Job - 20x ROI from the course

11. Resume Building support.

12. Interview Preparation.

13. Large network of HRs.

13 Reasons why you should act now!

Right curriculum - to have you covered.

1. Learn all 3 pillars of Data Analytics: Math, Coding, and Business.

2. Learn the Art of Problem Solving in Data Analytics.

3. Learn to use ChatGPT for Data Analytics.

Best Teaching experience - making learning fun.

4. Top teachers in Data Analytics.

5. Live Interactive sessions.

6. Weekly Doubt solving sessions.

7. 1-1 Mentorship.

Practice on the real problems - getting ready for the job

8. 66+ Exercises and 75+ Quizes

9. 5+ Exams.

10. 10+ Real-world Projects.

Getting The Job - 10x ROI from the course

11. Resume Building support.

12. Interview Preparation.

13. Large network of HRs.

13 Reasons why you should act now!

Right curriculum - to have you covered

1. Learn all 3 pillars of Data Analytics: Math, Coding, and Business

2. Learn the Art of Problem Solving in Data Analytics

3. Learn to use ChatGPT for Data Analytics

Best Learning Experience - Where Fun Meets Growth

4. Leaderboard

5. Ai code mentor

6. Personalize notifications

7. Daily learning streaks

Practice real problems - prepare for top companies.

8. 60+ practice exercise and case studies and 70+ quizzez

9. 12 + Tests

10. 10+ industry projects

Getting The Job - 20x ROI from the course

11. Resume Building support.

12. Interview Preparation.

13.

13 Reasons why

Right curriculum - to have you covered.

1. Learn all 3 pillars of Data Analytics: Math, Coding, and Business.

2. Learn the Art of Problem Solving in Data Analytics.

3. Learn to use ChatGPT for Data Analytics.

Best Teaching experience - making learning fun.

4. Top teachers in Data Analytics.

5. Live Interactive sessions.

6. Weekly Doubt solving sessions.

7. 1-1 Mentorship.

Practice on the real problems - getting ready for the job

8. 66+ Exercises and 75+ Quizes

9. 5+ Exams.

10. 10+ Real-world Projects.

Getting The Job - 10x ROI from the course

11. Resume Building support.

12. Interview Preparation.

13. Large network of HRs.

Fill This Form & Get Free Career Counselling Call Back Form Us.

By continuing, you agree to analyticsshiksha's terms and privacy policy.

Structured curriculum to become top data analyst

Let's explore how our Structured Curriculum makes learning clear and impactful!

Art of Problem Solving 10 Quizzes 07 Practice Exercises 03 Projects 15 Live Sessions

Module 1 - Introduction

Why Art of Problem Solving is Important?
Problem Formulation Framework
How to identify the right problem to solve
Framework to understand all the possible root causes of the business problem
End questions to answer with the Data Analysis.

Module 2 - Retail Case Study (Application 1)

Understanding everything about the Retail Domain.
Application of problem solving framework in Retail business case study.

Module 3 - Insurance Case Study(Application 2)

Understanding everything about the Insurance domain.
Application of problem solving framework in insurance business case study.

Module 4 - Banking Case Study (Application 3)

Understanding everything about the Insurance domain.
Application of problem solving framework in banking business case study.

Google Sheet 03 Quizzes 03 Practice Exercises 03 Projects 03 Live Sessions

Module 1

Overview of Google Sheets.
Introduction to functions.
Cell References.
Formatting.
Sort and Filter.

Module 2 - Functions in Google Sheet

IF
COUNTIFSUMIF
VLOOKUP
COUNTIFS, SUMIFS

Module 3 - Text Function and Pivot Table

Concat, Find Function.
Left, Right, Mid
Other Text Functions.
Type Conversion, Upper Case and Lower Case.
Creating and Analyzing Data with Pivot Tables.
Pivot table - Practice Problem
Putting it all together.

Module 4 - Charts & Project

Bar Chart
Pie Chart
Line Chart
Histogram
Combo Chart
Reports and dashboards- charts in google sheets

Module 5 - Industry Project

Ecommerce Retail performance reporting in google sheets.
LinkedIn Post.

SQL 03 Quizzes 03 Practice Exercises 03 Projects 03 Live Sessions

Module 1

Introduction to database and SQL
DDL and DML
SQL ConstraintsRelationships and Cardinality
Hands on Experience in DDL , DML
Hands on experience in index, variables
Accessing data Operators
Filtering data

Module 2

Aggregating Functions (Theory with example)
Sorting functions (Theory with example)
Getting Specific columns/rows/values (Theory with example)Hands on experience on the above topicsJOINs (Theory with example)

Module 3

Subquery
Working with Strings
(Emphasize on how to decide which string function to use and when)
Math functions

Module 4

Working with Strings
(Emphasize on how to decide which string function to use and when)
Date Manipulation in SQL
Math functionsWindows functions
Aggregator Windows Function (Explain with use case examples)

Module 5

Ranking Windows Function (Explain with use case examples)
Value Windows Function (Explain with use case examples)
Hands-on experience
Functions
VIEWS

Module 6 - Industry Project

Indigo Paints Case Study to understand their marketing effectiveness.
PowerPoint Presentation of analysis.
LinkedIn Post.

Statistics 03 Quizzes 03 Practice Exercises 03 Projects 03 Live Sessions

Module 1

Overview of Statistics
Types of Data
Data Collection Methods
Range
Central Tendency
Dispersion - Variability
Normal Distribution

Module 2

Introduction to Probability
Conditional Probability and Bayes Theorem
Probability Distributions - Continuous, Normal and Uniform Distribution.
Central Limit Theorem.

Module 3

Introduction to Sampling techniques, Statistical Inference.
Confidence Intervals, Confidence Level, P-value, Significance Level (Alpha).
Hypothesis Testing - T test, Chi Square test, Z test, Anova Test.

Module 4

Introduction to EDA with Supply chain analysis.
EDA Techniques, Correlation Analysis.
Univariate, Bivariate and Multivariate EDA.

Module 5 - Industry Project

Walmart Customers Case Study.
Power Point Presentation of analysis.
LinkedIn Post.

PowerBI 03 Quizzes 03 Practice Exercises 03 Projects 03 Live Sessions

Module 1

Introduction to Power BI
Installing and Setting up Power BI Desktop
Connecting to data sources and Creating basic charts and visuals
Cleansing data with Query Editor

Module 2

Introduction to basic visuals: bar charts, line charts, pie charts, tables, and matrix
Creating interactive reports with slicers and filters
Formatting visuals: colors, themes, and layouts.
Drill-through reports and drill-down capabilities
Using KPIs and gauges to track performance
Map visualizations: using geographic data with maps
Advanced chart types: waterfall, funnel, and scatter plots
Managing Relationships between Tables in Power BI
Addition of New columns using Power Query

Module 3

Modeling and Optimization
Customisations Interactions
Modeling and Optimization
DAX: SUM, AVERAGE, COUNT, MIN, MAX

Module 4 - Industry Project

Store Sales Performance Dashboard to prepare Business Strategy
LinkedIn Post.

Python 03 Quizzes 03 Practice Exercises 03 Projects 03 Live Sessions

Module 1

Introduction to Python and its use in Data Analytics.
Python vs. other programming languages for Data Analytics.
Setting up Python: Anaconda, Jupyter Notebooks, and IDEs.
Variables, Data Types, and Operators.
Control flow: if-else, loops (for, while).
Functions and modules.
Importing libraries.

Module 2

Overview and differences between lists, tuples, sets, and dictionaries.
Indexing, slicing, and list comprehensions.
Operations on sets and dictionaries.
Nested data structures and their applications in data analytics.
String manipulation techniques: slicing, formatting, and methods.
Regular expressions in Python for pattern matching
Cleaning and processing text data.

Module 3

What is NumPy and why it’s used for data analytics.
Creating arrays, basic operations on arrays.
Indexing, slicing, and shaping NumPy arrays.
Broadcasting and vectorization.
Numerical computations with NumPy.

Module 4

Welcome to the Python Panda's Module.
Pandas Basics
Exploring the Dataset
Data Preparation
Filtering the Dataset
Analyzing the Data
Working with Multiple TablesSaving the Data

Module 5

Introduction to Pandas: Series and DataFrames.
Reading data from CSV, Excel, and SQL databases.
Handling missing data.
Data cleaning and preprocessing.
Filtering, sorting, and grouping data.
Merging, Joining, and Concatenating Data
Applying functions on data with apply, map, and lambda.
Feature Engineering

Module 6

Introduction to data visualization
Creating basic plots: line plots, bar plots, histograms, scatter plots
Customizing plots (legends, labels, titles, etc.)
Advanced visualizations: heatmaps, pair plots, box plots
Data storytelling with visualizations.
EDA in Python

Module 7 - Industry Project

Customer Churn Analysis for a Telecom Company
PowerPoint Presentation of analysis.
LinkedIn Post.

10 Quizzes

07 Practice Exercises

03 Projects

15 Live Sessions

Module 1 - Introduction

Why Art of Problem Solving is Important?
Problem Formulation Framework
How to identify the right problem to solve
Framework to understand all the possible root causes of the business problem
End questions to answer with the Data Analysis.

Module 2 - Retail Case Study (Application 1)

Understanding everything about the Retail Domain.
Application of problem solving framework in Retail business case study.

Module 3 - Insurance Case Study(Application 2)

Understanding everything about the Insurance domain.
Application of problem solving framework in insurance business case study.

Module 4 - Banking Case Study (Application 3)

Understanding everything about the Insurance domain.
Application of problem solving framework in banking business case study.

20 Quizzes

12 Practice Exercises

05 Projects

8 Live Sessions

Module 1

Overview of Google Sheets.
Introduction to functions.
Cell References.
Formatting.
Sort and Filter.

Module 2 - Functions in Google Sheet

IF
COUNTIFSUMIF
VLOOKUP
COUNTIFS, SUMIFS

Module 3 - Text Function and Pivot Table

Concat, Find Function.
Left, Right, Mid
Other Text Functions.
Type Conversion, Upper Case and Lower Case.
Creating and Analyzing Data with Pivot Tables.
Pivot table - Practice Problem
Putting it all together.

Module 4 - Charts & Project

Bar Chart
Pie Chart
Line Chart
Histogram
Combo Chart
Reports and dashboards- charts in google sheets

Module 5 - Industry Project

Ecommerce Retail performance reporting in google sheets.
LinkedIn Post.

24 Quizzes

15 Practice Exercises

05 Projects

10 Live Sessions

Module 1

Introduction to database and SQL
DDL and DML
SQL ConstraintsRelationships and Cardinality
Hands on Experience in DDL , DML
Hands on experience in index, variables
Accessing data Operators
Filtering data

Module 2

Aggregating Functions (Theory with example)
Sorting functions (Theory with example)
Getting Specific columns/rows/values (Theory with example)Hands on experience on the above topicsJOINs (Theory with example)

Module 3

Subquery
Working with Strings
(Emphasize on how to decide which string function to use and when)
Math functions

Module 4

Working with Strings
(Emphasize on how to decide which string function to use and when)
Date Manipulation in SQL
Math functionsWindows functions
Aggregator Windows Function (Explain with use case examples)

Module 5

Ranking Windows Function (Explain with use case examples)
Value Windows Function (Explain with use case examples)
Hands-on experience
Functions
VIEWS

Module 6 - Industry Project

Indigo Paints Case Study to understand their marketing effectiveness.
PowerPoint Presentation of analysis.
LinkedIn Post.

15 Quizzes

10 Practice Exercises

04 Projects

08 Live Sessions

Module 1

Overview of Statistics
Types of Data
Data Collection Methods
Range
Central Tendency
Dispersion - Variability
Normal Distribution

Module 2

Introduction to Probability
Conditional Probability and Bayes Theorem
Probability Distributions - Continuous, Normal and Uniform Distribution.
Central Limit Theorem.

Module 3

Introduction to Sampling techniques, Statistical Inference.
Confidence Intervals, Confidence Level, P-value, Significance Level (Alpha).
Hypothesis Testing - T test, Chi Square test, Z test, Anova Test.

Module 4

Introduction to EDA with Supply chain analysis.
EDA Techniques, Correlation Analysis.
Univariate, Bivariate and Multivariate EDA.

Module 5 - Industry Project

Walmart Customers Case Study.
Power Point Presentation of analysis.
LinkedIn Post.

12 Quizzes

06 Practice Exercises

05 Projects

13 Live Sessions

Module 1

Introduction to Power BI
Installing and Setting up Power BI Desktop
Connecting to data sources and Creating basic charts and visuals
Cleansing data with Query Editor

Module 2

Introduction to basic visuals: bar charts, line charts, pie charts, tables, and matrix
Creating interactive reports with slicers and filters
Formatting visuals: colors, themes, and layouts.
Drill-through reports and drill-down capabilities
Using KPIs and gauges to track performance
Map visualizations: using geographic data with maps
Advanced chart types: waterfall, funnel, and scatter plots
Managing Relationships between Tables in Power BI
Addition of New columns using Power Query

Module 3

Modeling and Optimization
Customisations Interactions
Modeling and Optimization
DAX: SUM, AVERAGE, COUNT, MIN, MAX

Module 4 - Industry Project

Store Sales Performance Dashboard to prepare Business Strategy
LinkedIn Post.

18 Quizzes

25 Practice Exercises

05 Projects

15 Live Sessions

Module 1

Introduction to Python and its use in Data Analytics.
Python vs. other programming languages for Data Analytics.
Setting up Python: Anaconda, Jupyter Notebooks, and IDEs.
Variables, Data Types, and Operators.
Control flow: if-else, loops (for, while).
Functions and modules.
Importing libraries.

Module 2

Overview and differences between lists, tuples, sets, and dictionaries.
Indexing, slicing, and list comprehensions.
Operations on sets and dictionaries.
Nested data structures and their applications in data analytics.
String manipulation techniques: slicing, formatting, and methods.
Regular expressions in Python for pattern matching
Cleaning and processing text data.

Module 3

What is NumPy and why it’s used for data analytics.
Creating arrays, basic operations on arrays.
Indexing, slicing, and shaping NumPy arrays.
Broadcasting and vectorization.
Numerical computations with NumPy.

Module 4

Welcome to the Python Panda's Module.
Pandas Basics
Exploring the Dataset
Data Preparation
Filtering the Dataset
Analyzing the Data
Working with Multiple TablesSaving the Data

Module 5

Introduction to Pandas: Series and DataFrames.
Reading data from CSV, Excel, and SQL databases.
Handling missing data.
Data cleaning and preprocessing.
Filtering, sorting, and grouping data.
Merging, Joining, and Concatenating Data
Applying functions on data with apply, map, and lambda.
Feature Engineering

Module 6

Introduction to data visualization
Creating basic plots: line plots, bar plots, histograms, scatter plots
Customizing plots (legends, labels, titles, etc.)
Advanced visualizations: heatmaps, pair plots, box plots
Data storytelling with visualizations.
EDA in Python

Module 7 - Industry Project

Customer Churn Analysis for a Telecom Company
PowerPoint Presentation of analysis.
LinkedIn Post.

Our Students Love What We Do

Our students love the Super30 Data Analytics program! Read their
reviews to see how it’s transforming careers and empowering
learners. Join them today!

Our Students Love What We Do

Our students love the Super30 Data Analytics program! Read their reviews to see how it’s transforming careers and empowering learners. Join them today!

The online data analytics courses were well-organised and engaging. I would highly recommend it to anyone looking to gain practical skills in data analysis.

Tanvi L.

I have been able to use the skills I learned in the online data analytics course by Analytics Shiksha to improve processes and decision-making within my organisation. It has been a game changer for me and my team.

Priay S.

The instructors were incredibly knowledgeable and helpful throughout the data analytics online training. I learned so much and feel much more confident in my data analysis abilities.

Anjali K.

I'm so glad I decided to join this data analytics training. The instructors were engaging and knowledgeable, and I was able to gain skills that have helped me in my career as a business analyst.

Manoj P.

The data analytics course by WSCube Tech was an excellent investment in my career. I gained practical skills and knowledge that I have been able to apply to my work every day

Rahul D.

I am very thankful to this platform and Anmol Tomar Sir for helping me in my journey of becoming a Data Analyst. The Analytics Shiksha, the art of Problem-solving, made Data Analytics easy to understand. Their quality teaching helped me secure a Data Analyst role at Optum.

Sandeep K.

I was hesitant about taking an online data analysis course, but I'm glad I did. The instructors made the material easy to understand, and I was able to apply what I learned to real-world problems. I feel much more confident now and would recommend it to anyone looking to improve their abilities.

Viahal S.

Sandeep K.

The online data analytics courses were well-organised and engaging. I would highly recommend it to anyone looking to gain practical skills in data analysis.

Tanvi L.

I have been able to use the skills I learned in the online data analytics course by WSCube Tech to improve processes and decision-making within my organisation. It has been a game changer for me and my team.

Priay S.

The instructors were incredibly knowledgeable and helpful throughout the data analytics online training. I learned so much and feel much more confident in my data analysis abilities.

Anjali K.

I'm so glad I decided to join this data analytics training. The instructors were engaging and knowledgeable, and I was able to gain skills that have helped me in my career as a business analyst.

Manoj P.

The data analytics course by Analytics Shiksha was an excellent investment in my career. I gained practical skills and knowledge that I have been able to apply to my work every day

Rahul D.

Who is this program for?

This program is only for people who are aiming for top companies,
are serious about their career, and are willing to go the extra mile to
get placed in the world’s leading organizations. Now, you could be
coming from any background

Who is this program for?

This program is only for people who are aiming for top companies, are serious about their career, and are willing to go the extra mile to get placed in the world’s leading organizations. Now, you could be coming from any background

Freshers in any field

Learn the ins & outs of what life looks like as a Cloud Data En. So you can make an informed decision on further choosing your career path.

Working Professionals

Understand your current skill set and develop the skills required to successfully transition into Data Analytics.

Data enthusiasts with years of experience

Hone your Data skillset and become valuable for your company. Sharpening your analytical skills and staying up to date.

Anyone curious about what Data Analysts truly do

Wondering what a career in Data Analysis truly looks like? Learn about Data and Tech in this course.

Taking an eligibility test is crucial for forming a strong batch, which is the first step toward success with our Super30 Data Analytics Program

Free basic aptitude test to check your profile fit for super30 Data Analytics Program

By continuing, you agree to analyticshiksha's terms and privacy policy.

Check your eligibility and avail up to 20% scholarship with 15 days money back guarantee.

Still have questions?

Don't see your question answered? View More FAQs

Who can enroll in an online Data Analytics course? +

Online Data Analytics courses are open to a wide range of individuals. Students from diverse fields such as statistics, mathematics, computer science, information technology, and business can enroll to prepare for roles in data analytics. Working professionals in industries like IT, finance, marketing, and healthcare can take these courses to upskill and transition into data-related roles. Entrepreneurs and business owners can also benefit from learning data analytics to enhance decision-making and develop effective strategies for their businesses. Additionally, individuals looking for a career change can acquire the necessary skills and knowledge through these courses to successfully shift into data analytics roles. Freelancers can also take advantage of these programs to expand their expertise and offer data analytics services to clients, boosting their professional versatility.

How long does it take to complete a Data Analytics course online? +

A typical online Data Analytics course takes around 6 months to complete. This duration often includes comprehensive training in data analysis techniques, tools, and concepts, allowing learners to build a solid foundation and gain practical skills in the field. However, the exact time may vary depending on the course structure, the learner's pace, and the depth of the curriculum.

Are there any prerequisites for joining a Data Analytics course? +

The admission process for the Super30 Data Analytics course is simple and has four steps. First, you take a short aptitude test with 15 questions that you can finish in less than 10 minutes. This test helps check if you're the right fit for the program. If you pass, you'll get access to an exclusive masterclass video that explains everything about the program and how it can help you become one of the top 1% in the industry. If you don’t pass, you can retake the test after a month. Next, after watching the masterclass, you’ll have 24 hours to schedule a 30-minute screening with an industry expert. This expert will assess your profile for the program. Finally, if your profile is selected, you can join the Super30 batch and start learning with 29 other motivated students to kickstart your success journey.

What topics are covered in a Data Analytics course? +

A Data Analytics course covers a wide range of important topics that help you build the necessary skills to work with data effectively. The course focuses on the three main pillars of Data Science: Math, Coding, and Business. Math is essential because it helps you understand the numbers and patterns in data. Coding allows you to work with tools and software to process data, and Business teaches you how to use data to make better decisions in real-world situations. You will also learn the art of problem-solving in Data Science, which means understanding how to identify issues, gather the right data, and find meaningful insights. Additionally, the course includes a unique feature—learning how to use ChatGPT to support your data science work, which can make tasks like analysis and report writing much easier.

Will I get hands-on experience with real-world data projects? +

One of the best parts of the course is the hands-on experience it offers. You won’t just be learning theory—you will work on more than 10 real-world projects that allow you to apply everything you’ve learned. These projects are designed to give you practical knowledge and make you feel confident when working with real data analyst jobs. For example, you might analyze sales data for a company, create visual reports, or use Python to clean and process large datasets. This hands-on experience is incredibly valuable because it helps you understand how data is used in real jobs.

What tools and software are used in Data Analytics courses? +

The course introduces you to several important tools and software that are commonly used in Data Analytics. Google Sheets is taught for basic data organization and calculations, making it great for beginners. SQL is another tool you will learn, which is used to manage and work with large databases. You’ll also study Statistics, which helps you understand trends and make predictions based on data. PowerBI, a tool for creating beautiful visualizations like charts and graphs, is also part of the course. Python, a popular programming language, is covered as well. Python is very powerful and can be used for many tasks in Data Analytics, from cleaning data to building predictive models. By learning these tools, you will be prepared to handle a variety of data-related tasks with confidence.

Will I receive a certificate after completing the course? +

Yes, after completing the data analytics courses in Delhi, you will receive a certificate that proves you have the skills and knowledge needed in Data Analytics. This certificate can be a great addition to your resume and may help you stand out when applying for jobs.

Can I switch careers to Data Analytics with no prior experience? +

Switching careers to Data Analytics without any prior experience can be challenging. While the course is designed to teach you the necessary skills, having some background in math, coding, or even business concepts will make it easier to understand the material and succeed in this field. If you’re completely new to these topics, you might need to put in extra effort to build a strong foundation before starting a career in Data Analytics.

Get The Right Skill Set To Get Hired By Top Companies With Our Super30 Data Analytics Program.

Get The Right Skill Set To Get Hired By Top Companies With Our Super30 Data Analytics Program.

Ranked #1 Data Analytics Course

Fill This Form & Get Free Career Counselling Call Back Form Us.

Thank You!

13 Reasons why

Right curriculum - to have you covered

Best Learning Experience - Where Fun Meets Growth

Practice real problems - prepare for top companies.

Getting The Job - 20x ROI from the course

13 Reasons why you should act now!

Right curriculum - to have you covered.

Best Teaching experience - making learning fun.

Practice on the real problems - getting ready for the job

Getting The Job - 10x ROI from the course

13 Reasons why you should act now!

Right curriculum - to have you covered

Best Learning Experience - Where Fun Meets Growth

Practice real problems - prepare for top companies.

Getting The Job - 20x ROI from the course

13 Reasons why

Right curriculum - to have you covered.

Best Teaching experience - making learning fun.

Practice on the real problems - getting ready for the job

Getting The Job - 10x ROI from the course

Fill This Form & Get Free Career Counselling Call Back Form Us.

Thank You!

Structured curriculum to become top data analyst

Art of Problem Solving 10 Quizzes 07 Practice Exercises 03 Projects 15 Live Sessions

Google Sheet 03 Quizzes 03 Practice Exercises 03 Projects 03 Live Sessions

SQL 03 Quizzes 03 Practice Exercises 03 Projects 03 Live Sessions

Statistics 03 Quizzes 03 Practice Exercises 03 Projects 03 Live Sessions

PowerBI 03 Quizzes 03 Practice Exercises 03 Projects 03 Live Sessions

Python 03 Quizzes 03 Practice Exercises 03 Projects 03 Live Sessions

Structured curriculum to become top data analyst

How We Help You Get Placed in Top Companies

How We Help You Get Placed in Top Companies

8+ Tools Covered

Your Future Job Title

Product Analyst

Average Fresher Salary

8-10 Lakhs

Highest Salary at Analytics Shiksha

18 Lakhs

Meet The Course Designer

Hi! this is Anmol Tomar, a Data Analyts and Analytics Manager, and the Co-Founder of Analytics Shiksha.

Hear it from Our Learners

4.8

4.5

Our Students Love What We Do

Our Students Love What We Do

Find Your Dream Job With Placement Partners

Find Your Dream Job With Placement Partners

Meet Your Other Course Faculties

Aditya Malhotra

Vikrant Dhain

Himanshu Chauhan

CAREER PATH

Why is Data Analytics a great career?

CAREER PATH

Why is Data Analytics a great career?

Who is this program for?

Who is this program for?

Be in the spotlight by getting certified!

Taking an eligibility test is crucial for forming a strong batch, which is the first step toward success with our Super30 Data Analytics Program

Admission Process

Super30 Aptitude Test

Exclusive Masterclass

Screening

Start Your Success Journey

Ready To Become a Data Analyst?

₹89,000 ₹49,999/-

15-Day Money-Back Guarantee

OFFERINGS

INCLUSES

Upskill your Team;Upscale your Business

Why learn with Analytics Shiksha?

Still have questions?

Who can enroll in an online Data Analytics course? +

How long does it take to complete a Data Analytics course online? +

Get The Right Skill Set To Get Hired By Top
Companies With Our Super30 Data Analytics Program.

Hear it
from Our Learners

Find Your Dream Job
With Placement
Partners

Find Your Dream Job
With Placement
Partners

Upskill your Team;
Upscale your Business