Course: MSIA 411: Data Visualization
Dates: 1/25, 1/28, 2/1, 2/4, and 2/18 2019.
Time: 1pm - 4pm for first four sessions; 1pm-3pm for last session
Instructor: Mollie Pettit | twitter | website | LinkedIn
Contact: Email: [email protected]. I'm also in the #d3tutorials channel in the MSiA slack. Note: I will not typically be available for questions outside of class time.
Welcome to Data Visualization with D3! In this course, you'll learn how to leverage the d3.js library to build effective and interactive data visualizations. By the end of this course, you'll be able to design, build, and deploy various types of interactive visualizations on the web. There's no prior knowledge of D3 that's necessary.
Mollie Pettit wears many technical hats including that of a data visualization designer, a data scientist, and an instructor of both fields. Mollie previously worked as a data viz (D3.js) and data science instructor at Metis and a data scientist consultant with Datascope Analytics. Mollie currently works as a freelancer and has worked with ACLU-IL, The New Yorker, among others. Her most recent public project is IllinoisTrafficStops.com, for which she created all the visuals using d3.js. Additionally, Mollie organizes up the Chicago Data Viz Community Meetup group.
| Week | Monday | Friday |
|---|---|---|
| 1/25 | --- | Class 01 - getting to know D3 and building our first scatter plot! |
| 1/28 & 2/1 | Class 02 - debugging, finishing scatter plot, adding interactions, design process, your first d3 line plot | Class 03 - understanding the general update pattern, your first d3 bar plot |
| 2/4 | Class 04 - finish bar plot, build our first tree map, brainstorm on and then implement interactions on new plots | --- |
| 2/18 | Class 05 - TBD | --- |
For additional guidance working through these foundational skills, you can see the resources page.