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Data Visualization with Python

In the prep work for this class, the students learned:

  1. Best practices for making effective data visualizations.
  2. Four different chart categories and how to choose a chart style based on the category.
  3. How to use Matplotlib and Seaborn to make data visualizations.

Announcements

  1. Always check with your program manager to see if there are any upcoming deadlines you should highlight!

Large Group Time (Instructor)

Topics That Require Careful Attention

  1. Q & A from the prep work and/or exercises.
    1. The prep work focuses on four common chart styles in each of the four chart categories. Feel free to share other chart styles that you like and why you like them.

Studio (IA Notes)

  1. Students are once again working together. We have found that one of the skills that companies are looking for most in data analysts is the ability to work collaboratively to analyze the data and present their findings. Please don't hesitate to shake up common pairings if some groups are always picking each other and leaving others out.