Learning paths

Not sure where to start? Each path is a hand-picked sequence of 16 lessons that takes you towards a real job skill. Every step has a video, a notebook, a quiz and practice exercises.

📊Beginner

Data Analyst: Beginner to Job-Ready

Start from zero and finish with the core toolkit every data analyst job asks for: Python, pandas, charts, SQL and statistics, ending with a portfolio-ready capstone project.

16 lessons · ~3 h of video · quizzes & exercises

🤖Intermediate

Data Scientist: Statistics & Machine Learning

Learn the statistics behind the models, then build, tune and evaluate the most important machine learning algorithms with scikit-learn — from linear regression to gradient boosting.

16 lessons · ~5 h of video · quizzes & exercises

📈Intermediate

Finance & Stock Market Analyst

Work with real market data: returns, risk, technical indicators, portfolio optimisation, backtesting and time-series forecasting — finishing with a multi-asset portfolio report.

16 lessons · ~7 h of video · quizzes & exercises

🛒Intermediate

Business & Marketing Analyst

Answer the questions businesses actually ask: who are our best customers, what sells together, why do people leave, and did the campaign work? Built on real retail, marketing and social media data.

16 lessons · ~7 h of video · quizzes & exercises

🐍Beginner → Intermediate

Python Programmer: Core to Real Apps

Go beyond scripts: master Python's built-in data types and the standard library, write tests, and build your first web API with FastAPI.

16 lessons · ~5 h of video · quizzes & exercises