Government-certified ★ 5

Data Science Placement Course with AI Updated in Jan’ 12

Get placed with ₹5-10 LPA salary
Course fee refund if not placed

6 months online course with LIVE sessions

Batch starts on

25th Jan

Limited seats

Course Fee

₹38,999 ₹45,000

Save ₹ 6,001

Our learners get placed at

SAMSUNG XTO10X haptik +250 more hiring partners

Interested? Apply Now

Reviews from placed learners

★ 4.5Placed in 2025

Hands-on and Practical

Curriculum is perfect for beginners. Highly recommended for job seekers.

Sk Sarfarajin

Data Analysts

★ 4.9Placed in 2025

From banking aspirant to Flipkart

Amazing course! The projects really helped me understand Data Science.

Dipak Mondalin

Data Analysts

★ 5Placed in 2025

Mock interviews helped

Placement support is excellent. Mock interviews boosted my confidence.

Rohit Rathorin

Data Scientist

❮

❯

❝

Successfully secured a new job after a long career break!

The practical syllabus, real-world projects, mock interviews, and resume support enabled a confident career restart

— Vishal, Data Analysts

Have questions about the Data Science Placement Course? Our counsellors are here to help you every step of the way

Top companies hiring on PCS

₹ 88,999/month

Highest stipend offered

₹ 25 LPA

Highest salary offered

3000+

Internships with PPO

1400+

Data Science internships

Build real-world projects

Designed to help you gain industry-relevant skills

Customer Sentiment Analysis

Build a sentiment analysis model and use Python packages for web scraping, data preprocessing, and transformation.Visualise customer satisfaction insights and sentiment patterns using Power BI.

Social Media Analytics for Branding

Leverage Excel for data extraction, cleaning, and analysis of social media metrics to uncover brand insights and optimize marketing strategies.

Retail Customer Retention Analytics

Design interactive Power BI dashboard to analyze customer journey, purchase patterns, and retention trends. Implement data modeling, DAX, and dynamic visuals.

Disclaimer: Projects have been built leveraging real publicly available data sets from organisations.