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Data Science Course

Master Python, statistics and machine learning to launch a data career.

Home Programs Data Science Course
Course

Data Science Course

Master Python, statistics and machine learning to launch a data career.

10–14 Weeks Online Beginner to Intermediate Affordable Fee
Verified Certificate
on successful completion

Program Overview

This Data Science Course gives you the complete toolkit — Python, statistics, data wrangling and machine learning — through hands-on work on real datasets. It is structured for genuine understanding and a job-ready portfolio.

With mentor support and multiple projects, you finish with a verified certificate. The course is online and affordably priced for students across India.

What You'll Learn

Use Python, Pandas and NumPy for data work
Apply statistics to real datasets
Clean, explore and visualise data
Build and evaluate machine-learning models
Complete portfolio-ready data projects

Curriculum / Syllabus

  • Python essentials
  • NumPy & Pandas
  • Jupyter workflow

  • Descriptive statistics
  • Distributions & correlation
  • Exploratory analysis

  • Matplotlib & Seaborn
  • Data storytelling

  • Regression & classification
  • Model evaluation
  • Feature engineering

  • EDA project
  • ML project
  • Capstone

Tools & Technologies

Python Pandas NumPy scikit-learn Matplotlib Seaborn Jupyter

Who Is This For?

Students and graduates targeting data roles

Engineers and analysts upskilling into ML

Anyone wanting a structured data-science path

Frequently Asked Questions

Yes, it starts with Python and statistics fundamentals before moving into machine learning.

Yes, a verified certificate plus multiple portfolio projects.

Yes, fully online and affordable for students in India.

Why SIR Foundation?

Verified Certificate
Unique ID, recruiter-checkable online.
1-on-1 Mentorship
Guided by working professionals.
Project-Based
Build a real, portfolio-ready project.
Affordable Access
Non-profit pricing for every student.

Ready to start?

Join Data Science Course and take the next step in your career.

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