The Data Science Learning Path, Course by Course

The data science learning path runs course by course, from basics to advanced specialisation. This post maps the options that fit each stage, with prices, durations and certificates so you can choose what suits your goal.

Beginner courses that cost nothing to start

• Getting Started with Python for Data Science — Codecademy, free, 7 hours, beginner, certificate included. This is the first step for anyone who has never written Python for data work.
• HarvardX: Introduction to Data Science with Python — edX, free, 8 weeks, beginner, certificate yes. A university-backed intro that carries weight on a CV.
• Free Data Science with Python — freeCodeCamp, free, 300 hours, beginner, certificate yes. The longest free path, ideal for self-starters who want a structured syllabus without paying.
• Data Science Course - Mastering the Fundamentals — Scaler, free, 8 hours 45 minutes, beginner, certificate yes. A compact option for busy learners.

Free options and what they do not give you

Free courses such as the Codecademy and edX intros carry a certificate and cover the fundamentals, but they do not include placement support, mentor feedback or the deep project portfolios that some employers ask for. Paid bootcamps on Udemy or upGrad add live sessions and career services that free tracks lack.

Intermediate and advanced programmes

These three intermediate-to-advanced options differ in length and focus. The Deep Learning Specialization on Coursera runs three months and targets learners who already know basic machine learning. Data Science at Scale on Coursera is a one-month refresher for those who need to brush up on large-scale methods. The upGrad executive PG from IIITB is a twelve-month live programme with a placement guarantee, built for working professionals seeking a career shift.

Specialised short courses

• SQL for Data Science — Coursera, 15 hours 34 minutes, beginner, certificate yes. Essential for anyone who needs to query databases in a data science role.
• Tools for Data Science — Coursera, 16 hours 16 minutes, beginner, certificate yes. Covers the open-source stack most Indian companies use day to day.
• Python for Data Science, AI & Development — Coursera, 24 hours 20 minutes, beginner, certificate yes. Bridges the gap between scripting and applied AI.

What the reader should do next

Start with a free Python or SQL intro if you are new to the field. If you already know the basics, pick a three-month specialisation such as the Deep Learning course on Coursera or the upGrad executive PG if you want a placement guarantee. Link to the data science courses hub to compare every option side by side.

Compare all data science courses

FAQ

1. Which course is best for a complete beginner? Getting Started with Python for Data Science on Codecademy is free, takes seven hours and includes a certificate.
2. Do free data science courses give a certificate? Yes — the HarvardX, Codecademy and freeCodeCamp courses all provide a certificate at no cost.
3. How long does it take to job-ready? The upGrad executive PG from IIITB is twelve months with placement support; a self-paced Udemy bootcamp such as the Complete AI & Machine Learning bootcamp takes 44 hours but does not include career services.
4. Can I learn data science without paying? Yes — five free courses in the data set cover Python, SQL, maths and a full 300-hour path on freeCodeCamp.