Introduction to Python

About this course

This free course from Analytics Vidhya teaches you Python fundamentals for data science, starting with core concepts like variables and progressing to powerful libraries like NumPy and Pandas. Python has become the go-to language for data work in India and globally, and Analytics Vidhya — one of India's most trusted platforms for data science education — breaks it down in a way that actually sticks.

What you'll learn

• Master Python variables, data types, and control flow to write your first programs
• Work with NumPy arrays for fast, efficient numerical computing
• Load, clean, and manipulate real data using Pandas DataFrames
• Create charts and visualizations to tell stories with data
• Apply Python skills to solve small real-world data problems
• Build confidence to move into data analytics or machine learning

Who this is for

If you're curious about data science but never coded before, this course meets you where you are. You don't need a background in math or programming — just a willingness to learn by doing.

• Career switchers — gain the Python foundation needed to pivot into data roles at Indian tech companies or startups
• Students — build hands-on AI and data skills that complement your degree and stand out in campus placements

Prerequisites

None — this course is beginner-friendly and assumes no prior coding experience.

Why this matters for Indian learners

Data skills are opening doors across India right now. Companies like TCS, Infosys, Flipkart, and dozens of startups are hiring for data analyst and data scientist roles, often with starting salaries between ₹4–6 lakh per year for entry-level positions. Python isn't just a nice-to-have anymore — it's table stakes. This course gives you a real, free way to get there without paying ₹20,000+ for bootcamps or institutes.

Frequently asked questions

Is this course really free?

Yes, completely free. Analytics Vidhya offers this as a public resource to build the data science community in India.

How long will it take to complete?

The course is designed for about 8 hours of learning. If you pace it at 1–2 hours per week alongside work or studies, you could finish in 4–8 weeks without feeling rushed.

Will I get a certificate?

Yes, you'll receive a certificate upon completion that you can add to your LinkedIn or resume.