Community Data Science Workshops (Core)/Lecture

Community Data Science Workshops

Welcome to the <day name> lecture section of the Community Data Science Workshop Session <number>! For about 140 minutes, we'll work through an example of a <topic of the day> end-to-end that answers simple questions using via both a lecture and hands-on exercises.

Material for the lecture

For the lecture, you will need <number> files. Download both of these to your computer by using right or control-click on the link and then using Save as or Save link as. Keep track of where you put the files.

• Link file 1
• Link file 2

Overview of the day

• Lecture
  • Our philosophy around data analysis and visualization
  • Introduce some new programming tools!
  • We're going to walk through some analysis <specific data here>, start to finish
• Lunch
• Project-based work
  • Project room 1
  • Project room 2
  • Review Cafe
• Wrap-up!

Lecture outline

Step 1: Pre-Requisites

• Pre-requisite 1

Step 2: Walking through a Program

• Walk-through of your_notebook.ipynb.py
• Look at a dataset with Jupyter and/or in a spreadsheet

Step 3: Other steps here

Resources

• link to older resources
• link to external resources