Switch career to Data Analytics with Job guarantee
8 months course with:
1-1 mentorship
From scratch
Job guarantee
start
22nd
May

Your track from scratch to employment

Complete projects and pass exams
Create amazing CV and LinkedIn profile
Apply for 1000+ vacancies with our Career center
Get your dream job!
Guaranteed
Master all the coolest tools
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Join the course if you

Have no experience but really want to enter IT
Want to have an interesting job and career growth
Want to earn more at a stable job

Our honest job-guarantee policy

We are confident about our program and will return you money if you don't find a job
We can guarantee the result only in return for your real efforts, hard work, and dedication.
Completion of all modules and projects by deadlines
Attending live sessions and project reviews
Completion of Career center’s assignments on time
Passing the midterm and final exams

Become one of the 20,000 students who work in

"After joining the course I can see that Coding Invaders structured the course in such a way that any beginner can understand every concept very easily, even if you don't have an IT background."
Fresher 0 lakhs
Shashank Mishra
Amitava Chowdhury
"I was hired by a company as a Data Analyst with 40% hike in salary. So learning experience with Coding Invaders was quite positive for me "
Data Analyst 5 lakhs
Program manager
Data Analyst 40% hike

What is inside 8 months course

Python
Python is a universal programming language. It has simple and versatile syntax, which allows you to learn it in a relatively short time. Instagram, Dropbox, Uber, Spotify and other apps made with Python. Our course will help you to master this language for back-end development
Google Sheets
Spreadsheet software like Excel or Google Sheets are widely used tools for analyzing data. Google Sheets allows users to edit, organize, and analyze different types of information as well as allows collaborations, and multiple users can edit and format files in real-time.
SQL
SQL is the standard language for dealing with Relational Databases. Data analyst can use SQL to access, read, manipulate, and analyze the data stored in a database and generate useful insights to drive an informed decision-making process.
Power BI
Power BI is an interactive data visualization software product developed by Microsoft. Power BI allows users to see and share data and insights throughout their organization.
Python
Python is a universal programming language. It has simple and versatile syntax, which allows you to learn it in a relatively short time. Instagram, Dropbox, Uber, Spotify and other apps made with Python. Our course will help you to master this language for back-end development
job applications
3
Live sessions
/week
assignments
1500+
300+
career sessions
10

Achieve success with our human-powered approach

Become a part of vibrant community with:
Regular calls
Group project work
Live sessions
Get personalised help from mentors
Book a 1-1 video call
Tag your mentor and receive fast feedback via chat or
Take practice sessions with a Career coach
Get referred to our Hiring partners
Prepare for Screening and technical interviews Live sessions
Optimise your CV and Linkedin

Real projects that you will build with your peers

Here are some examples:
Large raw data of million records were fetched from the YouTube channel and dumped on SQL DB to do meaningful analysis about trending videos in YouTube. Data normalization was done as the dataset had multiple entities(tables) and huge records. Various advanced SQL techniques like SQL Joins, subqueries, Windows functions, Pivot table, Groupby, etc were used to do advanced analysis.
Domain: Video analytics (YouTube)
In-depth analysis and visualization of various loan-related data of the customer forecast their defaulter status based on their credit history, education, dependants, etc. Additionally, the GDP of the country and unemployment rate were also used to find out the statistical correlation. The use of statistics and Power BI visuals helped to find meaningful insights from the data.

Domain: Banking (BFSI)
Extracted payroll data from various sources for the company, transformed using Power BI functions like DAX, Aggregation, etc using Power query. Designed interactive dashboards to view correct metrics (PPC - Per Payslip Costs) for various platforms for the leadership team to identify and improve the process and automate the payroll manual reports reducing defects and increasing efficiencies. Additionally performing Text analytics on customer surveys and analyzing pre-defect scenarios and highlighting them for respective countries’ regional managers.
Domain: HR Analytics
In this supply chain project, the supplied volume and invoice level details of all vendors(tier 1 and tier 2) for each part procured, weight and quantity, MSME type, and other categorical information were analyzed with an insightful dashboard for a Procurement Department make better supply chain strategic decisions in Power BI. The purpose of the analysis is to identify the Procurement trends, Supplier limitations, Product based supplier consolidation, and minimize cost impact to the company.
Domain: Supply Chain
The global health of countries’ data of the past 15 years for 193 countries was analyzed in Python using Pandas and visualized using matplotlib and seaborn. This dataset was primarily analyzed for humans to strive and survive under extreme conditions or pandemics like Covid. On the other hand, it helps the health insurance companies to prepare.
Domain: Healthcare

Syllabus

Section 1 · Creating basic reports via Google Sheets
Tools
  • Google Sheets

Duration: 1 month

Group Project. Create reports for a retail store brand
Group Project. Product analytics on video platform

You will learn:
  • Automate your work with spreadsheets using formulae
  • Analyse data with pivot tables
  • Creating dashboards via Google Sheets
Section 2 · Crunching massive datasets with SQL
Tools
  • SQL
  • MySQL
  • Metabase

Duration: 2 month

Group Project. Analysing investment bank portfolio 
Group Project. YouTube video trends analytics

You will learn:
  • Query database using SQL
  • Analysing data from several tables with JOIN
  • Working with string and text data
  • Using sub queries
  • Advanced SQL: window functions, database normalisation and others
Section 3 · Midterm exam 1
  • CV review
  • Technical assessment
  • Technical interview

Duration: 1 week
Section 4 · Making sense of big data with statistics
Tools
  • Exploratory data analysis (EDA)
  • A/B testing

Duration: 1 months

Group project. Analysing credit scores for retail banking clients

You will learn:
  • Descriptive statistics: mean, median, mode, standard deviation
  • Analysis of variance (ANOVA)
  • Hypothesis testing
Section 5 · Making beautiful charts and dashboards using Power BI
Tools
  • Power BI

Duration: 1 month

Group project. Visualising cost structure of a corporation
Group project. Increasing profit by optimising supply-chain

You will learn:
  • Working with data sources in Power BI
  • Working with Query Editor
  • Visualisations in Power BI
  • Working with DAX
Section 6 · Midterm exam 2
  • CV review
  • Technical assessment
  • Technical interview

Duration: 1 week
Section 7 · Automating analytics with Python for data analysis
Tools
  • Python
  • Numpy
  • Pandas
  • Jupyter notebook
  • Matplotlib

Duration: 3 months

Group project. Analysing macroeconomic data on health to assess insurance risks
Group project. Reducing cost of fleet maintenance

You will learn:
  • Basics of Python programming
  • Loading and analysing data with Pandas dataframes
  • Super fast data analytics with Numpy arrays
  • Creation charts and graphs with matplotlib
Section 8 · Final exam
  • Technical assessment
  • Technical interview

Duration: 2 weeks
Section 9 · Career acceleration
  • Prepare and polish your CV
  • Organise portfolio on GitHub
  • Prepare for technical and HR interview with career coach

Duration: 1 month
Section 10. Job search
  • Apply to 300+ job application via our job application service
  • Get referred to our hiring partners
  • Participate in technical assessments
  • Participate in interviews
  • Work with career coach to analyse your results and traction

Learn on assignments handpicked by industry leaders

Our tutors are real business practitioners who hand-picked and created assignments and projects for you that you will encounter in real work.
Rahul Taori
Deeksha Lasrado
Ashish Kharche
Shivangi Shahi
Srikanth
Atul Kushwaha

Join the course before May 22nd

Rs 7900 / month
Rs 9 929/ month
12 months no cost EMI
Project-based learning
From scratch
Unlimited 1:1 mentorship
3 live sessions/week
CV enhancing and mock interviews
Honest job guarantee policy

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