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📚 Don’t forget! You can download all course resources including code examples, cheat sheets, and project templates. It’s free - just enter $0 at checkout!

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Course Datasets & Notebooks

Download the datasets and student exercise notebooks used throughout the course directly to your local system:

student_dataset.csv

Student performance dataset used in the Pandas and visualization tutorials.

obesity_prediction.csv

Obesity prediction dataset used for data analysis and modeling exercises.

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Jupyter Notebooks

Download the student exercises and tutorial notebooks to code locally:

NumPy Practice

Practice problems for NumPy arrays.

NumPy Tutorial

Reference notebook for NumPy.

Pandas Practice

Data manipulation practice with Pandas.

Pandas Tutorial

Comprehensive Pandas tutorial.

Matplotlib Practice

Practice plotting with Matplotlib.

Seaborn Practice

Statistical visualizations with Seaborn.

Visualization Guide

Full visualization guide student exercise.

RAG Notebook

Retrieval-Augmented Generation tutorial.

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Choose your next adventure

Now that you have a solid Python foundation, it’s time to specialize. Choose one of these learning tracks based on your interests:

Machine Learning Track

Build an exercise classifier with sensor data

AI Agents Track

Create intelligent agents with GenAI
Can’t decide?
  • Choose AI Agents if you want to build applications quickly
  • Choose Machine Learning if you want to understand how AI works fundamentally

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  • Share your projects
  • Get help when stuck
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