Change your stagnant job for
dynamic career. Become a Data Analyst
by learning from world experts!
The Data Analyst
study from mentors,
succeed faster

8 months
27th Feb
Learn hand-in-hand with mentors, request 1-1 sessions, and follow your personal career track
Visit career sessions, create CV, and get employed within 3 months after graduation
Employment help
You will study in a job-simulator with virtual colleagues, bosses, and rewards
Job-ready skills
1-1 mentorship
I want to work in IT but don’t have enough knowledge
I try hard to be noticed and get promotion
My job doesn’t motivate me
I am working in a stable sphere where all the money goes
I earn 6+ lakhs and my salary is raising up
I am a skilled professional who never runs out of offers
I work in a dynamic field and grow fast
Data analytics is one of the most in-demand professions of the 21st century

About Profession

Processes and interprets big data
Suggests how to optimize business processes
Visualizes the results

What does a Data Analyst do?

A data analyst is a professional who works with data to extract valuable insights from it. Data Analyst:

Ready to join?

Your career track

7 lakhs
4-5 years
Analyst Team lead or Data Scientist
5 lakhs
5-8 months
Junior analyst
13 lakhs
6 years
Chief Data Officer

This course is for you if:

You want to change a stagnant job for dynamic career
You want to work in a big company or move out of India
You want to upskill yourself and get a higher position at work
You want to take control of your life

Get consultation

Leave your phone number, and our counselor will call you back and answer all your questions about the course!

In 8 months you will master all skills needed to be a Data Analyst. The course contains 12 blocks and 22 modules, 10 projects, 3 exams, and a lot of practice! You will complete the course with full knowledge of how IT works and how to fit in the industry.

Your skills after the course

What Is Inside

projects and business cases
to complete
Access assignments
Google sheets
Power BI

Get personal employment help

Mailing CV to our HR partners
Sessions that emulate your future interviews with employers
Mock interviews
10 solved business cases that show you’re ready for work
Mentors define your strengths and create a CV that will catch employers
Attractive resume

Why Coding Invaders?

Simulation at Coding Invaders
Other online schools
24/7 support from your personal mentor
1-1 sessions with mentors anytime
Live sessions and recorded theory
Introducing you to hiring partners
Personal career track &
8 career sessions
Applied hard & soft skills after the course
Practice based education
Other schools
Coding Invaders
24/7 support from your personal mentor
Other schools
Coding Invaders
1-1 sessions with mentors anytime
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Coding Invaders
Personal career track & 8 career sessions
Other schools
Coding Invaders
Introducing you to hiring partners
Other schools
Coding Invaders
Live sessions and recorded theory
Other schools
Coding Invaders
Practice based education
Other schools
Coding Invaders
Applied hard & soft skills after the course

Need more information about the course benefits? Contact us now!

Who created the program
The course is developed by field experts: Data Analysts, software engineers, and business consultants. Make experience of the best professionals work for your success!


In 8 months you will master all skills needed to be employed as a Data Analyst. The course contains 22 week-long modules of theory and practice, 10 group cases from real business and 3 exams to test your skills and employability

Google Sheets

Block 1. Google Sheets Theory & Practice. 6 weeks, 60 hours
1) Basics
  • Preparation
  • Formatting
  • Calculation
  • Automate
2) Functions
  • IF
3) Pivot tables and dashboards
  • Introduction 
  • Analyzing data using pivot table
  • Putting it all together
Block 2. Two real business cases
  • Reports for a retail store brand
  • Group project for video content platform


Block 3. SQL Theory & Practice. 7 weeks, 70 hours
1) Operators and Queries
  • Introduction to SQL and its terminology
  • Basics
  • Working with Operators
  • Working with Strings & Datetime
  • Mastering complex SQL Queries with basic statements
2) Advanced Queries
  • Aggregate functions
  • HAVING clause
  • SQL Joins
  • Sub Queries
3) Advanced functions
  • Windows functions
Block 4. Two real business cases
  • Project for an investment bank
  • Project for YouTube video trends


Block 5. Statistics Theory & Practice. 5 weeks, 50 hours
1) Basics
  • Intro to statistics
  • Central tendency, variance
  • Inferential Statistics
  • Types of Probability Distribution
2) Data and hypothesis
  • Exploratory data analysis
  • Data Preprocessing
  • Hypothesis testing (parametric tests)
  • Chi square test and 1 way ANOVA
Block 6. Real business case
  • Project for a bank

Power BI

Block 7. Power BI Theory & Practice. 6 weeks, 60 hours
1) Setup and dashboards
  • Introduction to Power BI
  • Connecting to data sources and Creating basic charts and visuals
  • Cleansing data with Query Editor
  • Creating Report by combining all visuals
  • Types of Visuals in Power BI
  • Managing Relationships between Tables in Power BI
  • Addition of New columns using Power Query
  • Transforming Columns in Query Editor
2) Modeling and Optimization
  • Modeling and Optimization
  • Customisations
  • Interactions
  • Introduction to DAX
Block 8. Two real business cases
  • Project for a Finance department of a company 
  • Project on supply chain domain to optimize the supply and profit


Block 9. Python Theory & Practice. 6 weeks, 60 hours
1) Operators and functions
  • Introduction
  • Installation 
  • Basic operators
  • Brief on Jupyter notebook
  • Data types, variables, and Numbers
  • Strings
  • List
  • Conditional statements if/else
  • Looping
  • Functions
2) Arrays
  • Introduction on Numpy
  • Creating arrays
  • Indexing arrays
  • Array Transposition
  • Shape manipulation
  • Conditional Selection
  • Array Operations
  • Broadcasting
3) Datasets and dataframes
  • Introduction to pandas
  • Reading local data set
  • How to read data files from pandas
  • How to write data using Pandas
  • Creating dataframe
  • Playing with Rows and columns of dataframe
  • Filters and operations using dataframe
  • Handling missing values using Pandas
  • Usage of apply function in pandas
  • Aggregate data in Pandas
  • Merge operation on dataframes
4) Plots and charts
  • Introduction to Matplotlib
  • Basics of Matplotlib figure
  • Creating Line Plots
  • Adding texts to plots
  • Adding legend
  • Adding labels
  • Applying different styles
  • Subplots
  • Scatter Plot
  • Bar chart
  • Pie Chart
  • Histogram
  • Heat map
  • Plotting Curves
  • Brief on visualization python libraries
Block 10. Two real business cases
  • Project for a Global Health
  • Project for a Fleet Maintenance

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