Everything you need to master data science
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.
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.
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.
I enjoy teaching & mentoring data science - this website is the synthesis of my knowledge learnt while practicing, mentoring & teaching data science.
Yes, all the courses are free.