You will have the first contact with your Python programming tool, and together with your instructors, you will write your very first programs. This covers learning about variables and data types, and importing code from other files or libraries.
Loops are a good choice when it comes to repeating actions. In this section, the "while"-loop will be introduced. Furthermore, it is often necessary to check conditions and act accordingly, for example, to check the validity of user input. You will learn about conditions and how to control and react to them.
In the self-paced exercise, you can apply your new knowledge to some exercise problems. The instructors are available to help you in case you have questions or want feedback.
You will learn about "for"-loops, as well as writing and executing functions and modules.
You can apply your new knowledge to more complex problems designed to lead you toward creating somewhat larger and more complex programs. The instructors are available to help you in case you have questions or want feedback.
You can apply your new knowledge to more complex problems designed to lead you toward creating somewhat larger and more complex programs. The instructors are available to help you in case you have questions or want feedback.
You will learn about collection data types, such as tuples and lists, and finalize an example project.
You have a selection of exercises available to work on that range from repetition of the content taught on the first days to complex tasks. The instructors are available to help you in case you have questions or want feedback.
You have a selection of exercises available to work on that range from repetition of the content taught on the first days to complex tasks. The instructors are available to help you in case you have questions or want feedback.
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.
