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Data Visualization

Asynchronous

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Asynchronous

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:

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:

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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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!

Transitions

Web Browser Based: d3.js

Adding transitions to your d3.js plots.

Slides

Buttons

Web Browser Based: d3.js

How to interact with buttons using d3.js

Slides

Tableau Introduction

Tableau

Welcome to the world of Tableau brought to you by Salesforce.

Slides

Tableau Workbooks

Tableau

Everybody work work work work workbook.

Slides

Updates

Web Browser Based: d3.js

Updating d3.js elements on user interactions.

Slides

Subsetting Data

Web Browser Based: d3.js

Filtering through data.

Slides

Getting Started with Tableau

Tableau

Getting you all set up with a Tableau Public account and the Tableau Public Desktop app.

Slides

Dimensions and Measures

Tableau

How does Tableau handle data?

Slides

Remove

Web Browser Based: d3.js

How to remove elements with d3.js.

Slides

Web Browser Based Visualizations Next Steps

Web Browser Based

What are some next steps for learning more about web browser based visualizations.

Slides

A Brief App Intro

Tableau

A short introduction into the Tableau Public application.

Slides

Scatter Plots

Tableau

Our first chart type in Tableau.

Slides

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

©2017-2026 by The Erdős Institute.

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