Post-Graduation In Data Science Program













- Learn industry-demanded tools like Python, R, and SQL.
- Improve your skills in advanced analytics, AI, and machine learning
- Hands-on training with real-world case studies.
- Develop data visualization expertise with Power BI & Tableau.
- solid background in data modeling and statistics
- Mentorship from experienced data scientists.
- Career assistance with placements and networking
- Unlock high-paying global job opportunities.
*No cost EMI

Industry-Focused Data Science Program
A post-graduation in data science is more than just a course; it’s a career accelerator. It’s designed for graduates and working professionals who want to move beyond theory and gain practical, job-ready skills in Python, SQL, machine learning, AI, and visualization tools. What makes this program special is the balance of classroom learning with real-world projects, so you don’t just study concepts, you apply them to solve real business challenges. With expert mentorship, placement support, and a curriculum built for industry needs, this program helps you step confidently into high-paying roles and a future driven by data.
Learn with real business case studies and live projects
Master trending tools: Python, TensorFlow, Power BI, and mor
AI-integrated learning path for future-ready careers
Why PG in data science in Teksversity?
The digital world runs on data, but very few know how to truly unlock its power. That’s why the PG in Data Science at Teksversity is designed as an advanced data science course that moves beyond surface-level learning. Here, you’ll master machine learning, AI applications, big data frameworks, and cloud-based analytics preparing you to solve complex, real-world problems with confidence. This isn’t just a course; it’s a career accelerator built for ambitious minds.
Key highlights of PG in data science
- Learn the full spectrum of data science from Python and machine learning to AI and big data.
- Understand how to collect, analyze, and turn data into meaningful insights.
- Work with modern tools and techniques that are shaping today’s business world.
- By the end of the program, you’ll be ready to solve real data challenges confidently.
- You’ll learn by doing it, not just reading.
- Work on real projects and case studies from different industries.
- Get comfortable with tools like Tableau, Power BI, TensorFlow, and more
- Every assignment helps you build practical skills you can show to employers.
- Learn from mentors who work in the data science field every day.
- Get personal guidance to help you strengthen your technical and problem-solving skills.
- Receive feedback on your projects and learn from real business scenarios.
- Stay up-to-date with the latest trends and tools in data and AI.
- Get help preparing for your next big role from resume building to interview practice.
- Find job opportunities that fit your skills and goals.
- Access to career counseling sessions and placement support throughout the program.
- Connect with top recruiters and companies looking for skilled data professionals.
- Learn the full spectrum of data science from Python and machine learning to AI and big data.
- Understand how to collect, analyze, and turn data into meaningful insights.
- Work with modern tools and techniques that are shaping today’s business world.
- By the end of the program, you’ll be ready to solve real data challenges confidently.
Download Our Course Brochure
- Complete course syllabus
- Career growth & placement roadmap
- Mentor expertise & industry background
- Certification details & recognition
- Flexible fee plans with EMI options



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Weather Data Analysis

Movie Recommendation System

Loan Data Risk Analysis

Credit Card Fraud Detection

Housing Price Prediction

COVID-19 Data Analysis

Real-Time Stock Price Prediction

Recommendation System

NLP Text Classification

Retail Data Cleaning

Customer Segmentation

Image Classification Using CNN

Sales Data Dashboard

Customer Feedback Sentiment Analysis

Titanic Dataset EDA

Iris Flower Classification

Employee Attrition Prediction

Heart Disease Prediction

Fraud Detection Using Ensemble Learning

Time Series Plotting of Stock Prices
Data Scientist
Salary Package (LPA)
| Experience | Package |
|---|---|
| Fresher | 6-10 LPA |
| 2 Years | 8-12 LPA |
| 4 Years | 12-18 LPA |
| 6 Years | 15-25 LPA |
| 8 Years | 20-30 LPA |
Data Analyst
Salary Package (LPA)
| Experience | Package |
|---|---|
| Fresher | 4-8 LPA |
| 2 Years | 6-10 LPA |
| 4 Years | 8-12 LPA |
| 6 Years | 10-15 LPA |
| 8 Years | 12-18 LPA |
ML Engineer
Salary Package (LPA)
| Experience | Package |
|---|---|
| Fresher | 6-10 LPA |
| 2 Years | 8-12 LPA |
| 4 Years | 12-18 LPA |
| 6 Years | 15-25 LPA |
| 8 Years | 20-30 LPA |
Data Engineer
Salary Package (LPA)
| Experience | Package |
|---|---|
| Fresher | 6-10 LPA |
| 2 Years | 8-12 LPA |
| 4 Years | 12-18 LPA |
| 6 Years | 15-25 LPA |
| 8 Years | 20-30 LPA |
BI Analyst
Salary Package (LPA)
| Experience | Package |
|---|---|
| Fresher | 4-8 LPA |
| 2 Years | 6-10 LPA |
| 4 Years | 8-12 LPA |
| 6 Years | 10-15 LPA |
| 8 Years | 12-18 LPA |
Data Architect
Salary Package (LPA)
| Experience | Package |
|---|---|
| Fresher | 10-15 LPA |
| 2 Years | 12-18 LPA |
| 4 Years | 18-25 LPA |
| 6 Years | 25-35 LPA |
| 8 Years | 30-45 LPA |
Statistician
Salary Package (LPA)
| Experience | Package |
|---|---|
| Fresher | 5-8 LPA |
| 2 Years | 7-12 LPA |
| 4 Years | 10-15 LPA |
| 6 Years | 12-18 LPA |
| 8 Years | 15-25 LPA |
Research Scientist
Salary Package (LPA)
| Experience | Package |
|---|---|
| Fresher | 6-10 LPA |
| 2 Years | 8-12 LPA |
| 4 Years | 12-18 LPA |
| 6 Years | 15-25 LPA |
| 8 Years | 20-30 LPA |
AI Engineer
Salary Package (LPA)
| Experience | Package |
|---|---|
| Fresher | 6-10 LPA |
| 2 Years | 6-10 LPA |
| 4 Years | 6-10 LPA |
| 6 Years | 15-25 LPA |
| 8 Years | 20-30 LPA |
Quantitative Analyst
Salary Package (LPA)
| Experience | Package |
|---|---|
| Fresher | 6-10 LPA |
| 2 Years | 6-10 LPA |
| 4 Years | 6-10 LPA |
| 6 Years | 20-30 LPA |
| 8 Years | 25-35 LPA |
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