Tuesday schedule

On Tuesday we will focus on data visualization and data wrangling in Python using JupyterHub.

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Morning session

Data visualization and wrangling in Python using the Berkeley Data 8 datascience package (9:00–10:20)

• Data 8 datascience Jupyter notebook
• Data 8 datascience Jupyter notebook answers
• Avocado data
• Python with Berkeley’s Data 8 slides

Morning break (10:20–10:30)

Data wrangling and visualization with Python and R continued

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Lunch (12:00–1:30)

You probably won’t want to miss Bombay Royale (Ben’s favorite!) on Tuesday. We’ll ask for a count in the morning.

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Afternoon session

Models and resources for teaching data science (1:30–2:20)

• Data Science in a Box
• Modern Data Science with R
• R for Data Science
• Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
• Data 8
• Python for Data Analysis, 2nd Edition
• Python Data Science Handbook

Afternoon break (2:20–2:30)

Work on implementation plans (2:30–3:30)

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Evening session (remote by appointment)

• Set up a time with Sunni or Emma via Slack

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Created by Ben Baumer. This material is based upon work supported by the National Science Foundation under Grant Numbers HDR DSC 1924017, 1923388, 1923700, 1923934, and 1924032. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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