Data Science Course with Job Assistance

26th November

  • Start the most in-demand IT career
  • Earn up to 10-40 LPA
  • Work remotely and travel


Study time


9 months

10-15 hours/week

10 projects in portfolio

Open vacancies in Data Science in India in 2022

Average salary of Data Scientist in India

Why Data Science?

10-12 Lakhs


Data scientists analyse data and build models which help businesses make decisions.

Data Science jobs will be created globally by 2026

The highest paying IT job in 2023, up to 100 LPA

Top 1

11.5 million

Get hired by prestigious MNCs and startups like
High earning opportunity from your first job itself!

Your future career after Data Science course

4-5 years

6-8 years

1-3 years


Data scientist abroad
7-9 LPA
9-15 LPA
15-40 LPA

Unlimited top-notch career options

Success stories

Your age or background doesn’t matter! But the decision you make today, does!

Enroll for our proven Data science course today

This course is perfect for you if

You do not have IT experience, but want to learn Data Science from scratch

You want to switch from your profession (IT or Non-IT) to a future-proof and prestigious Data career

You want to increase your income and earn
25-40 LPA

You are a fresher and seeking some
real-world experience in IT world

Student reviews

Our dedicated Career center will guide you through the steps to get your dream job

100% placement assistance!

CV enhancing and 10 projects in portfolio

Interview and test assignments prep

300+ applications via our job service

Dream job!

We placed our students in top companies like

Study only those tools that employers require

Tools covered

Scikit learn


Proven Curriculum to get a Data science job

Start today to be where you deserve to be in the next year itself!

Enroll for our proven Data science course today

How does the program work?

80% practice in the job simulator

  • 1500+ assignments
  • 30+ capstone projects and real business cases

1-1 mentorship

  • Tag your mentor and receive fast feedback via chat or
  • Book a 1-1 video call

Friendly and vibrant community

  • Instructor-led live sessions
  • Regular calls
  • Group project work
Master Data science profession with our human-powered approach

Experienced professionals as your mentors

Gunjan Srivastava
Data Science & Analytics
Deeksha Lasrado
Application development analyst
Ashish Kharche
Product analytics
Sanjeet Kumar
Associate Consultant
Ratheeshwara K
Full Stack Developer
Atul Kushwaha
RPA Developer

10 real projects that you will build with your peers

Here are some examples:
Predicting the results of cricket matches
Sentiment analysis of texts based on customer reviews
Credit card fraud detection

Accessible education with no eligibility criteria

This course is well-suited for participants with all levels of experience. The only criteria is your genuine interest in Data science!
Coding knowledge
Knowledge of programming is not mandatory to enrol in this course as it covers even the very basic things.
Basic maths
You don’t need to have a background in maths or statistics, however you need to be comfortable with numbers which you can master with time.
IT education
We accept students with both IT and non-IT degrees. Furthermore, IT education is not compulsory for a data scientist job.
Excel or Google sheets
Advanced Excel / Google Sheets skills are not required, however you should know basic use and operations in Excel or Google Sheets.
Knowledge in Data Science or ML
No prior knowledge in Data Science or ML is required as we teach them all from scratch.
10-15 hours/week
To be eligible for the Data Scientist Job assistance you will need to pass a final exam. And to ensure that you need to devote 10-15 hours a week to studying.

₹19,500/ month


Join the course before
26th November
Leave your number and find out if you are eligible for an extra scholarship discount
12* months no cost EMI
*15 and 18 months EMI are also available

Do you still have any doubts whether this path is for you?

We teach from scratch. So we will cover everything for you including the in-depth technical parts.
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