What software/technology stacks do you use?

In the Data Science Bootcamp, the focus is on teaching core data science concepts and techniques, from cleaning and preparing data to building and evaluating predictive models. To put these concepts into practice, we use Python and its core libraries such as pandas, NumPy, scikit-learn, matplotlib, and seaborn.

Every lesson is reinforced with hands-on coding exercises, so you can immediately apply what you learn. While Python is our primary tool, the emphasis is always on the underlying principles, to ensure the skills you gain are transferable across different tools and platforms you may encounter in the industry.