Browse the calendar for special events, workshops, and seminars related to Data literacy and Data Analytics.  Click on each event to view details, registration information, prerequisites (if applicable), and other details on all of these events.

Can’t find an event or workshop that meets your needs?  Check out this list of resources that may help.

March 2020

Sun Mon Tue Wed Thu Fri Sat
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  • XSEDE GPU Programming Workshop at OSC
  • MMC Digital Sandbox: Tableau Basics
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  • MMC Digital Sandbox: Python
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  • MMC Digital Sandbox: Tableau Basics
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  • MMC Digital Sandbox: Python
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  • MMC Digital Sandbox: Tableau Basics
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  • Tableau User Group Meeting
  • MMC Digital Sandbox: Python
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  • WiMLDS Columbus Chapter Launch
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  • Digging Deeper into the Public Domain (Workshop)
  • MMC Digital Sandbox: Tableau Basics
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  • Getting Started in R
  • MMC Digital Sandbox: Python
  • Introduction to Tableau for Data Visualization (Workshop)
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  • MMC Digital Sandbox: Tableau Basics
  • Using ArcGIS StoryMaps in Your Research and Teaching (Workshop)

Below are suggested learning pathways designed to introduce you to data analytics or how to effectively use data.  Pick and choose from several pathways to customize your own learning experience to suit your needs and interests using a combination of both on-campus workshops and resources available on-line from LinkedIn Learning or Lynda.com.

For more information on obtaining accounts on either LinkedIn Learning or Lynda.com, please see the criteria for access at the IT Academy’s eligibility page.

Suggested Workshop Paths

Using the Ohio Supercomputer Center for Research×

This workshop path may be useful for researchers and students that are starting to use the Ohio Supercomputer Center (OSC) resources for their research.  These events may be found in the calendar to the right, or on the OSC events page.

  1. Intro to Supercomputing at OSC
  2. Getting started at OSC
  3. Big Data at OSC Workshop
Data Analytics for Beginners×

This workshop track uses material from lynda.com as an introduction to Data Analytics.  It may be supplemented with material available in workshops on campus as noted.

  1. Learning Data Analytics
  2. Data Science Foundations: Fundamentals
  3. Learning Data Science: Tell Stories with Data
  4. Data Science Foundations: Data Mining
Learning Data Visualization×

This workshop path goes in depth on using Data to create an effective narrative.  It uses material from lynda.com as a baseline, and is supplemented with resources and workshops available from Research Commons.

  1. Data Visualization: Storytelling (1h 37m)
  2. Learning Data Visualization (3h 50m)
  3. Data Visualization Tips & Tricks (2h 14m)
  4. Research Commons Data Visualization tools series (pick one)

General Visualization

  1. Intro to Tableau for Data Visualization
  2. Intro to Excel for Data Visualization
  3. Open and Affordable tools for analyzing and visualizing data

GIS (mapping)

  1. Web mapping basics with ArcGIS online
Amazon Web Services Basics×
Working with Big Data in AWS×

This workshop track may be of interest to those wanting to use Amazon Web Services for their Data Analytics projects.  If the Big Data Technology Fundamentals is omitted it also makes a good introduction to AWS and cloud computing.

  1. AWS Cloud Practitioner Examples
  2. Introduction to Amazon EC2
  3. Amazon Simple Storage Service (S3) primer
  4. Big Data Technology Fundamentals
Microsoft's Python for Beginners×

Microsoft Developer has a series of videos on YouTube called “Python for Beginners”.  Each video is just a few minutes long and the series aims to help the viewer learn Python starting with very little programming background.

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