What topics will be covered in the Python for Data Science course?

Please find below the details for the Introduction to Python for Data Science

• Covers the entire data science workflow — from data acquisition and cleaning to exploration, analysis, and visualization.

• Teaches key Python libraries: NumPy, pandas, scikit-learn, matplotlib, and seaborn.

• Includes hands-on learning on data pipelines and working with various data formats.

• Features a final project to apply all learned skills to a real-world problem.

• Builds a strong foundation in data science concepts and the ability to apply them using Python.

You can take a look at our curriculum to see all of the topics we cover.

Please note that our bootcamp is currently discontinued. We plan to relaunch it as a self-paced program next year, and the updated details will be shared on our website once finalized.