The lessons

Each lesson is free to read in full. Create a free account to run its commands in a live lab and to sit its quizzes and tasks.

Worked in a real lab

Every lesson of this module is worked in a lab started for you alone. The labs it uses:

Teaching a class? Set this module for your students with a teacher guide, marked assignments and a lab for every student.

Statistics for data science: Learn statistics for data science hands on: spread, probability, distributions, sampling, p-values and correlation, worked in Python notebooks.
Data science and machine learning: Learn data science and machine learning in Python notebooks: dataframes, cleaning, charts, regression, k-means and language models.
Deep learning: Learn deep learning hands on: neural network layers, the forward pass, gradient descent, overfitting and convolutions.
Computer vision: Learn computer vision hands on: pixels, grey levels, thresholds, blur filters, edge detection and counting objects in Python.