You are registered for this program.
Launch, Supplemental, Self-Directed, Mini-Course
Our materials touch on the following content to varying degrees:
• Plotting in Python: matplotlib, seaborn, plotly, and bokeh
• Web browser visualizations: HTML, CSS, SVG, and d3.js
• Basic Tableau
• Basic design principles
Organizers and Instructors
Matthew Osborne, PhD
Lead Instructor, Senior Operations Analyst
By appointment only
Don't hesitate to contact me with any questions or concerns, I'm looking forward to our Data Visualization mini course!
The aim of this mini course is to teach you how to produce data visualizations in a variety of programming languages/softwares while also touching on fundamental design principles. By the end of this mini course you will produce a portfolio worthy data visualization.
Participants should have a base-level familiarity with Python. If you are new to Python, but would still like to participate you can review our existing Python Prep materials to get up to speed. It will also be helpful, but not necessary to have a basic understanding of probability and statistics. If you would like to review some statistics or probability should check out the slides at these links:
Slack Channel: #slack-channel
In order to receive a certificate of completion you must submit a final project. Your final project should be a data visualization that you would be happy to show off in your data visualization portfolio. Projects can take a variety of forms including:
• An interactive dashboard,
• A data essay,
• A larger data visualization poster,
• A series of visualizations used as a part of your academic study,
• And more.
You may work by yourself or in small groups see the syllabus.pdf file
Click on any date for more details
Please check your registration email for program schedule and zoom links.