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Data Visualization

Asynchronous

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This program is included with Career Launch Cohort Enrollment and Erdős Institute Alumni Club Membership at no additional cost.
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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.

Slack

Click here to be invited to the slack organization: The Erdős Institute

Click here to access the slack cohort channel: #slack-cohort-channel

Click here to access the slack program channel: #slack-program-channel

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Click here to download the Events & Deadlines .ics calendar file

Organizers, Instructors, and Advisors

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Steven Gubkin

Head of Training and Assessment

Office Hours:

By appointment only

Email:

steven@erdosinstitute.org

Preferred Contact:

Slack

Message me on Slack if you have questions about the course! I am also your primary contact for GitHub access.

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Matthew Osborne, PhD

Lead Instructor, Senior Operations Analyst

Office Hours:

None

Email:

matthewosborne71@erdosinstitute.org

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

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: 
First Steps

Program Content

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Course materials are available on github through the following link:

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https://github.com/TheErdosInstitute/data-viz

Request Access to GitHub

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Program Content

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!

Figures and Traces

Python: plotly

plotly's basic plotting object.

Slides
Transcript
Code

New to Us Chart Types

Python: plotly

A few chart types that we have not seen in any of our packages up to this point.

Slides
Transcript
Code

Saving plotly Figures

Python: plotly

How can we save all of our wonderful plotly Figures?

Slides
Transcript
Code

Web Browser Based Visualization Intro

Web Browser Based: Intro

We introduce the section of the mini course dedicated to web browser based visualizations.

Slides
Transcript
Code

plotly.express

Python: plotly

plotly.express is to plotly as seaborn is to matplotlib.

Slides
Transcript
Code

Hover Effects

Python: plotly

Editing the hover effects of our plotly graphs.

Slides
Transcript
Code

A Simple Dashboard

Python: plotly

We make a simple dashboard using plotly and dash.

Slides
Transcript
Code

HTML Introduction

Web Browser Based: HTML

We introduce the HTML "programming language".

Slides
Transcript
Code

Creating Graphs We Already Know

Python: plotly

We have learned how to make a number of graphs up to this point, how do we make them with plotly?

Slides
Transcript
Code

Adjusting Figure Layout

Python: plotly

How can we change the layout part of our plotly Figures.

Slides
Transcript
Code

plotly Next Steps

Python: plotly

How can I learn more about plotly?

Slides
Transcript
Code

HTML Elements and Tags

Web Browser Based: HTML

What are the different things we can add into our HTML pages?

Slides
Transcript
Code

Project/Homework Instructions

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Project/Team Formation
Project Submission
Projects README

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

©2017-2025 by The Erdős Institute.

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