Learn faster
Everything you need to master data science
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Structured learning
- See the relationships between tools & techniques
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Learn to build
- Learning pathways all lead towards building real projects
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Interactive learning
- Test your learning progress with quizzes and interactive Python code
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Comprehensive curriculum
- 77 lessons across 22 courses
Pathway
Introduction to Data Analysis with Python
34 lessons across 9 courses
Begin with mastering Python and Git, navigate through SQL and Pandas and deploy interactive dashboards using Streamlit to the web. The pathway concludes with a capstone project where learners apply their skills analyzing historical energy data.
Pathway
Machine Learning on Tabular Data
45 lessons across 12 courses
Explore Python and core concepts in statistics and probability, manipulate and clean data with Pandas, engineer features, and evaluate the machine learning models that work well on tabular data. The pathway finishes with a project predicting newspaper headlines from newspaper text.
Pathway
Introduction to Data Engineering
33 lessons across 9 courses
Learn the core skills & knowledge needed to get started with data engineering, covering Python, shell scripting, databases, Git, Docker, infrastructure as code and REST APIs. The pathway finishes with a practical project showing you how to deploy a REST API serving climate change data.
Pathway
Deep Learning
3 lessons across 1 courses
Learn the fundamentals of deep learning, including neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). Implement these models from scratch using NumPy and TensorFlow.
Frequently asked questions
- Why does this website exist?
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I enjoy teaching & mentoring data science - this website is the synthesis of my knowledge learnt while practicing, mentoring & teaching data science.
- Are the courses free?
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Yes, all the courses are free.