Data Visualization

Spring 2023

Feb 20, 2023

Apr 14, 2023

I'm a paragraph. Click here to add your own text and edit me. It's easy.

Checking your registration status...

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

You are registered for this program.

Data Visualization Welcome Zoom

Next Event

NEXT EVENT

Registration Deadlines

Feb 6, 2023

All participants

Category

Launch

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

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

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

Organizers, Instructors, and Advisors

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

View the full project database >>>

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

Program Content

I'm a paragraph. Click here to add your own text and edit me. It's easy.

Course materials are available on github through the following link:

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

Add your full github URL (e.g. https://github.com/{your_username})

Request Access to GitHub

Editing all of the non-plot elements of our Tableau visualizations.

Slides

Transcript

Code

Project/Homework Instructions

I'm a paragraph. Click here to add your own text and edit me. It's easy.

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

Data Visualization Welcome Zoom

Feb 21, 2023 at 09:30 PM UTC

EVENT

Matt Osborne Fri Office Hour

Feb 24, 2023 at 04:00 PM UTC

EVENT

Matt Osborne Fri Office Hour

Mar 3, 2023 at 04:00 PM UTC

EVENT

Matt Osborne Fri Office Hour

Mar 10, 2023 at 04:00 PM UTC

EVENT

Matt Osborne Fri Office Hour

Mar 17, 2023 at 03:00 PM UTC

EVENT

Matt Osborne Fri Office Hour

Mar 24, 2023 at 03:00 PM UTC

EVENT

Matt Osborne Fri Office Hour

Mar 31, 2023 at 03:00 PM UTC

EVENT

Matt Osborne Office Hour

Apr 11, 2023 at 07:30 PM UTC

EVENT

Matt Osborne Fri Office Hour

Apr 14, 2023 at 03:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Feb 22, 2023 at 09:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Mar 1, 2023 at 09:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Mar 8, 2023 at 09:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Mar 15, 2023 at 08:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Mar 22, 2023 at 08:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Mar 29, 2023 at 08:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Apr 5, 2023 at 08:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Apr 12, 2023 at 08:00 PM UTC

EVENT