Data Visualization

Asynchronous

Registration Deadlines

Registration Link

Erdős Institute Members

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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

Syllabus

Instructional Team

Matthew Osborne, PhD

Head of Boot Camps

Office Hours:

By appointment only

Email:

matthewosborne71@erdosinstitute.org

Preferred Contact:

Slack

Don't hesitate to contact me with any questions or concerns, I'm looking forward to our Data Visualization mini course!

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. By the end of this mini course you will produce a portfolio worthy data visualization.

Project Examples

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First Steps/Prerequisites

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:
- Probability Theory: https://docs.google.com/presentation/d/1BPdJqdOrtxoBkBnP1iqzZtw0tPRkmRZdcgZm0oiTc9s/edit?usp=sharing
- Statistics: https://docs.google.com/presentation/d/1lOOEeCWw3c19dHhGAxHH0FqEajxId_hK3Qb9e6rQ1Hs/edit?usp=sharing

First Steps

To access the program content, you must first create an account and member profile and be logged in.