Workshops

Workshop 1: Introduction to Python and Exploratory Data Analysis


Part 1 of the workshop will discuss data visualization, including making graphs, charts, plots, subplots, and interactive plots using the python library matplotlib. The workshop requires knowledge of basic python syntax and data structures. There is a pre-workshop lesson on Canvas you can complete to develop these skills.

Part 2 of the workshop will discuss reading data into a pandas dataframe, accessing data from a data frame, and using pandas basic plotting functionalities. We will then discuss curve fitting using the python library scipy. The workshop requires knowledge of basic python syntax and data structures. There is a pre-workshop lesson on Canvas you can complete to develop these skills. You do not have to attend the morning session to attend the afternoon session.


Date: Saturday, April 30
Location: 180-362

Schedule (6.5 hours)

  • 9 AM - 12 PM - Part 1

  • 12 PM - 12:30 PM - Lunch (Pizza)

  • 12:30 PM - 3:30 PM - Part 2

Workshop 2: Introduction to Data Science with Python

Introduction to the field of data science and the workflow of a data scientist. Topics include: management and manipulation of tabular data, data visualization, introduction to machine learning and diverse types of data (textual, geospatial). Taught in Python.


Date: Saturday, May 7th
Location: 180-362

Schedule (6.5 hours)

  • 9 AM - 12 PM - Part 1

  • 12 PM - 12:30 PM - Lunch (Pizza)

  • 12:30 PM - 3:30 PM - Part 2

Hands-on Data Science and Pedagogy


This two-part workshop will walk you through a data science analysis from exploratory data analysis through interpretation and synthesis. Workshop materials will cover best practices in data science pedagogy as well as infrastructure and logistics for data-driven research and education in data science. Before this workshop you will be asked to identify your data analysis interests and interface with the workshop staff to help us design small group customized “birds of a feather” breakout sessions.


Date: Saturday, June 4th
Location: 3-114

Schedule (6.5 hours)

  • 9 AM - 12 PM - Part 1

  • 12 PM - 12:30 PM - Lunch (Pizza)

  • 12:30 PM - 3:30 PM - Part 2