Instructor Notes
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Introduction
Instructor Note
To warm up, conduct a brief brainstorming session to elicit potential answers to the questions above. Write the answers on the board and engage learners in a discussion about their background knowledge in each area.
Depending on the backgrounds and interest areas of workshop attendees, you can focus on one or the other point from the text below.
Graph Categories
Instructor Note
This episode is more meant for self study. You don’t need to go into extensive detail about the content of this episode. Instead, focus on reviewing the graphs with the learners and ask if they are already familiar with them and their use cases. The most important graphs to highlight — those that will also be featured in the visualization section of this lesson — are scatter plots, bubble charts, and correlograms. Place greater emphasis on these and prepare the learners to create them in the visualization section.
Statistical Inference
Instructor Note
There is a lot of text in this episode, which is meant for self study. Make sure to have read the text yourself before the workshop and explain the main concepts to the learners. Put emphasis on the keywords: descriptive and inferential statistics, correlation, regression and causation. Let the learners know that they should keep the information from this episode in mind before moving on to the next one. In the next episode, they are going to learn how to put this knowledge to use for analyzing data and predicting values with data visualization.
Data Visualization with Python for Statistical Inference and Storytelling
Instructor Note
This episode is the heart of the present lesson. Manage your teaching time carefully to have enough space for hands-on coding and answering questions in this episode. Make sure that all learners have successfully set up Jupyter Notebook on their computers or have access to Google Colab. Encourage the learners to code along with you. You can stop coding at certain points and elicit the next line of code from the learners. Group work is highly encourages, especially while doing the final exercise.