Data Science

What a data scientist really does, the end-to-end workflow, NumPy in one lab, and the daily toolkit: pandas, SQL and data cleaning. Built around real datasets.

4:08

Lesson 1

What a Data Scientist Actually Does (The Honest Version)

Half the job isn't modelling. Here's what a data scientist actually does all week — and the 5 skills that get you hired.

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4:24

Lesson 2

The Data Science Workflow End to End (and 3 Ways Projects Die)

Most data science projects don't fail on the model. They fail before it, or after it. Here's the whole workflow, and the three places projects quietly die.

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4:37

Lesson 3

NumPy in One Lab: Arrays, Vectorisation & Broadcasting

Squaring a million numbers takes 124 ms with a Python loop and 1.1 ms with NumPy. Here's why — and the five patterns that replace every loop you write. Lab 1 of the complete Data Science course.

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16:18

Lesson 4

pandas, SQL & Data Cleaning: The Data Scientist’s Daily Toolkit

4 topics in one lesson: pandas Essentials, SQL for Data Scientists, Reading a Dataset for the First Time and Data Cleaning, Done Properly.

▶ 16:18 video📓 notes PDF🔒 free account

More lessons are added here as they go live on YouTube.