Data Visualization
Asynchronous
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Registration Deadlines
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Category
Launch, Supplemental, Self-Directed, Mini-Course
Overview
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
Note: our asynchronous mini-courses do not have a project component and do not offer certification. Any references to either projects or certificates you find in these course materials are remnants of earlier iterations of the course where these components were present.
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Click here to access the slack cohort channel: #slack-cohort-channel
Click here to access the slack program channel: #slack-program-channel
Click here to download the Events & Deadlines .ics calendar file
Organizers, Instructors, and Advisors
Steven Gubkin
Head of Training and Assessment
Office Hours:
By appointment only
Email:
Preferred Contact:
Slack
Message me on Slack if you have questions about the course! I am also your primary contact for GitHub access.
Matthew Osborne, PhD
Lead Instructor, Senior Operations Analyst
Office Hours:
None
Email:
Preferred Contact:
Slack
Please direct all course questions to Steven Gubkin.
Objectives
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.
First Steps/Prerequisites
Program Content
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Course materials are available on github through the following link:
github message for user
Textbook/Notes
Note: our video player does not support playback speed options. You can find a third party browser extension which will allow you to modify video playback speed. For example, this one works for Chrome: video-speed-controller. If you would prefer to avoid a browser extension you can manually modify the playback speed in the javascript console as well: Speed up any HTML5 video player!
Project/Homework Instructions
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Schedule
Click on any date for more details
Orientation & Setup
Phase 1: Instruction and Project Completion
Project Review & Judging
Phase 2: Intense Interview Prep & Career Connections
Project/Homework Deadlines