Python for Data Science

About this course

This comprehensive 12-hour course from freeCodeCamp teaches you the essential Python libraries and techniques used by data scientists worldwide. You'll master NumPy for numerical computing, Pandas for data manipulation, and Matplotlib and Seaborn for visualization — the exact toolset that professional data analysts use every day. freeCodeCamp's reputation for hands-on, project-based learning means you'll learn by doing, not just watching.

What you'll learn

• Work with NumPy arrays and perform efficient numerical operations on large datasets
• Clean, transform, and analyze data using Pandas DataFrames and Series
• Create professional visualizations with Matplotlib to tell stories with your data
• Build statistical plots and insights using Seaborn for deeper analysis
• Apply scikit-learn to build and evaluate basic machine learning models
• Handle real-world data challenges like missing values, duplicates, and formatting issues
• Write reproducible Python code that follows data science best practices

Who this is for

You're ready for this course if you know Python basics and want to level up into data work. Whether you're a student preparing for your first internship, a professional pivoting toward analytics, or someone curious about how data drives decisions — this course bridges the gap between general programming and specialized data science skills.

• College students — build portfolio projects with real data that impress employers during campus placements and internship interviews.
• Working professionals transitioning to data roles — gain the specific library expertise that hiring managers expect from junior data analysts and scientists.

Prerequisites

You should be comfortable with Python basics — variables, loops, functions, and working with lists and dictionaries. If you're new to Python entirely, spend a week with a beginner Python course first. No prior statistics or data science experience needed.

Why this matters for Indian learners

Data science is one of India's fastest-growing job markets. Companies across Mumbai, Bangalore, Hyderabad, and Pune — from startups to enterprises like TCS, Infosys, and newer fintechs — are hiring data analysts and scientists at competitive salaries (₹4–8 LPA for junior roles, scaling quickly with experience). These exact skills — Python, Pandas, and scikit-learn — are what they're looking for. By mastering this course, you're directly aligning with what Indian tech hiring teams want.

Frequently asked questions

Is this course really free?

Yes. This course is completely free — no hidden fees, no premium tier, no paid certificate. It's available on YouTube, which means you can watch it anytime, anywhere, on any device with an internet connection.

How long will it take to complete?

The course is 12 hours of video content. Most learners finish in 3–4 weeks by dedicating 3–4 hours per week. You can go faster if you're coding along with every example, which we recommend — that's how the learning sticks.

Will I get a certificate?

No official certificate is offered with this course. However, the real credential is the projects you build and the skills you gain. Create a GitHub portfolio with your data analysis projects from this course, and that will matter far more to employers than any certificate.