Info Session — Mentor-Led Data Science & AI Program
RegisterFree self-paced academy
Create a free account and every module, lesson and quiz opens at once — no cohort dates, no deadlines, no locked chapters. Read in any order, take quizzes as often as you like, and collect badges toward a verifiable certificate.
How access works
Sign in once and every module, lesson and quiz is available immediately. There is no drip release, no prerequisite chain and no paid upgrade inside the academy.
No deadlines and no cohort calendar. Study in the order that suits you, stop mid-lesson, and pick up on any device — progress is saved to your account.
Each module quiz you pass at 70% earns a badge, and badges add up to a downloadable certificate with a public verification page.
Curriculum
Data Science Essentials is completely free and awards the Data Science Essentials Certificate. Applied Data Science & AI is a paid upgrade with its own Applied Data Science & AI Professional Certificate. Score 70% or higher on a module quiz to earn its badge.
Completely free, self-paced and open to everyone once you sign in. Python, math, statistics, experimentation and SQL, with quizzes and badges.
Certificate: Data Science Essentials Certificate
The bootcamp's opening course: what data analysis actually involves, the tool stack you will live in, and how to pull real data from public APIs.
8 lessons 64 min
Badge not earned yetBadge pendingOpen moduleWrite Python other people can run: clean data structures, vectorised pandas, tests, and a project layout that survives handoff.
4 lessons 109 min
Badge not earned yetBadge pendingOpen moduleVectors, matrices and the linear transformations underneath every model you will train — worked in NumPy rather than on paper.
3 lessons 24 min
Badge not earned yetBadge pendingOpen moduleSampling, distributions, hypothesis tests, effect size, power and resampling — the statistics course from the bootcamp, in Python.
9 lessons 72 min
Badge not earned yetBadge pendingOpen moduleTurn a vague product question into a testable hypothesis, run an A/B test properly, and analyse it with the right t-test.
4 lessons 32 min
Badge not earned yetBadge pendingOpen moduleRelational modelling, joins, aggregates, subqueries and window functions — the SQL course every Magnimind analyst finishes before touching modelling.
6 lessons 48 min
Badge not earned yetBadge pendingOpen moduleHow it works
Every lesson runs 24-32 minutes with real code, the failure modes we see in reviews, and a practice task to do in your own editor.
Mixed multiple-choice and "what does this print" questions, graded on the server with explanations afterwards. 70% to pass, unlimited retakes.
Each passed module issues a badge, and collecting them unlocks a downloadable PDF certificate with a public verification link.
Want mentor feedback, live sessions and a portfolio review? See the mentor-led program.
Talk to a mentor about your background, your target role, and which cohort makes sense.
