Courses
Gain the skills you need to do independent data science projects.

We pare down complex topics to their key practical components, so you gain usable skills in a few hours (instead of weeks or months).

The courses are provided at no cost to you, and you can now earn certificates.

Kaggle Data Science Courses
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Intro to Programming
Intro to Programming
Get started with Python, if you have no coding experience.
Python
Python
Learn the most important language for data science.
Intro to Machine Learning
Intro to Machine Learning
Learn the core ideas in machine learning, and build your first models.
Pandas
Pandas
Solve short hands-on challenges to perfect your data manipulation skills.
Intermediate Machine Learning
Intermediate Machine Learning
Handle missing values, non-numeric values, data leakage, and more.
Data Visualization
Data Visualization
Make great data visualizations. A great way to see the power of coding!
Feature Engineering
Feature Engineering
Better features make better models. Discover how to get the most out of your data.
Intro to SQL
Intro to SQL
Learn SQL for working with databases, using Google BigQuery.
Advanced SQL
Advanced SQL
Take your SQL skills to the next level.
Intro to Deep Learning
Intro to Deep Learning
Use TensorFlow and Keras to build and train neural networks for structured data.
Computer Vision
Computer Vision
Build convolutional neural networks with TensorFlow and Keras.
Time Series
Time Series
Apply machine learning to real-world forecasting tasks.
Data Cleaning
Data Cleaning
Master efficient workflows for cleaning real-world, messy data.
Intro to AI Ethics
Intro to AI Ethics
Explore practical tools to guide the moral design of AI systems.
Geospatial Analysis
Geospatial Analysis
Create interactive maps, and discover patterns in geospatial data.
Machine Learning Explainability
Machine Learning Explainability
Extract human-understandable insights from any model.
Intro to Game AI and Reinforcement Learning
Intro to Game AI and Reinforcement Learning
Build your own video game bots, using classic and cutting-edge algorithms.

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