Data Science Program

DATA SCIENCE

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Transform Data Into Intelligence

16 Weeks
Mon – Sat
Offline Mode
Certificate Included
Placement Support
What is Data Science?

Learn to collect, process, and model data using statistics and machine learning to uncover patterns, make predictions, and solve complex real-world problems.

Tools You'll Master

Industry-standard tools used by professionals. Hover or tap a card to see exactly what you'll learn.

Python Advanced Python MySql Machine Learning Deep Learning NumPy Pandas PowerBI Jupiter Notebook VS Code Matplotlib

Python

Start with Python basics and move into data analysis and machine learning to solve real problems.

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You'll Learn

Python

  • Write Python programs with confidence
  • Analyze data using popular libraries
  • Visualize data with charts and graphs
  • Explore datasets and discover insights

Advanced Python

Master Advanced Python as part of an industry-ready Data Science curriculum.

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You'll Learn

Advanced Python

  • Gain practical experience with Advanced Python
  • Work on real-world industry scenarios
  • Build skills that companies value

MySql

Master MySql as part of an industry-ready Data Science curriculum.

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You'll Learn

MySql

  • Gain practical experience with MySql
  • Work on real-world industry scenarios
  • Build skills that companies value

Machine Learning

Master Machine Learning as part of an industry-ready Data Science curriculum.

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You'll Learn

Machine Learning

  • Gain practical experience with Machine Learning
  • Work on real-world industry scenarios
  • Build skills that companies value
Why Students Choose This Program

Designed for real results — not just certificates. Every element is built to get you hired.

1

Hands-on projects that build a professional portfolio.

2

Expert-led curriculum aligned with real hiring demands.

3

Placement support and mock interview preparation.

4

Industry-recognized certificate that validates your readiness.

Ready to start your journey?

Join the next Data Science batch — seats are limited.

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