Get to know the popular data processing framework. You will be introduced to the Series data type and pandas, including the underlying data structures.
Learn how to shape and process tabular data in a Series and a DataFrame.
You will generate and process a data set using pandas. In addition, you will also learn about the important concept of (pseudo-)random numbers. The instructors are available to help you in case you have questions or want feedback.
Pyplot is a collection of shortcuts for common tasks. Learn how to use it to create basic plots.
Learn about the object-oriented style of Matplotlib, an alternative approach to setting up plots. You will also be introduced to combining pandas and Matplotlib for quick plotting.
Get your hands on a real-live weather data set, "clean" the data, and visualize it. The instructors are available to help you in case you have questions or want feedback.
You will learn about filtering data, advanced plotting, and how to combine several plots in one figure.
Using the weather data set, you will apply your knowledge to work on multi-step analysis and plotting tasks. The instructors are available to help you in case you have questions or want feedback.
Using the weather data set, you will apply your knowledge to work on multi-step analysis and plotting tasks. The instructors are available to help you in case you have questions or want feedback.
