Data Science with Python

Dive into data analysis and visualization with Python. This course introduces you to the essential libraries for data science, including NumPy for numerical operations, Pandas for data manipulation, and Matplotlib/Seaborn for creating compelling visualizations. You will work on real-world datasets to solve practical problems.

Course Content

  • Introduction to Pandas
    30 min
Data Science with Python
Duration:8 hours

Instructor

E

Emily White

Data Scientist