Sixteen weeks of data wrangling, statistics, visualization and applied machine learning, using real-world datasets throughout.
Data Science with AI builds on Python fundamentals to take you deep into the full data science workflow: cleaning messy real-world data, exploring it statistically, visualizing patterns clearly, and applying machine learning to draw genuine insight and build predictive models.
Every module works with real datasets rather than toy examples, and the final weeks are dedicated to an end-to-end capstone project you scope, build and present yourself, mirroring what a data scientist does on the job.
Cleaning, transforming and preparing real-world datasets.
Descriptive and inferential statistics with clear visual storytelling.
Regression, classification and model evaluation techniques.
Scoping and delivering an end-to-end data science project.
My capstone project used real transaction data from my current employer, and it directly led to a new role on our analytics team.
Dense but genuinely rewarding. Dr. Yusuf's feedback on our capstones was some of the best mentorship I've had.
