TDAI Data Literacy

As part of its Data Literacy program, TDAI periodically holds workshops aimed to introduce data and data analytics skills to the community.  These past workshops have included an R Crash Course and a series of introductory R workshops which include learning and using R and R Studio, statistical analysis in R, and visualizing data in R.

Furthering our Data Literacy mission, TDAI is pleased to be in partnership with the OSU Libraries to bring the Carpentries to the University.

TDAI Workshop List

The Translational Data Analytics Institute regularly presents a multi-part workshop for learning R.  R is a free and open-source programming language used by many for statistical computing.  This series of workshops covers how to get started in R, use R in statistical analysis, and create visualizations in R.

Participants should have a computer (PC or Mac) and be able to sign up for a free account at the Ohio Supercomputer Center (OSC).  The Zoom meeting link and a link for accessing the project at OSC will be provided to participants.

TDAI R Programming Workshop - Spring 2021×

 

For Spring 2021, all workshop sessions will be held via Zoom.  Meeting link will be provided to registered participants.

Getting Started in R – 2 sessions

3/19/2021, 9:30 – 11:30am
3/26/2021, 9:30 – 11:30am

Learn how to get started in R and Rstudio.  This workshop covers basic R functionality:  objects, functions, vectors, and various data operations.  Registering for this workshop signs you up for BOTH sessions, as the sessions build upon each other.  Sign up here.

Statistical Analysis in R – 1 session

4/2/2021, 9:30 – 11:30am

This workshop builds upon the Getting Started in R workshop and gives participants a foundation for performing statistical analysis using R.  Participants should already have completed the Getting Started in R workshop or have a working knowledge of using functions, vectors and data frames in R.  Sign up here

Data Visualization in R – 1 session

4/9/2021, 9:30 – 11:30am

This workshop builds upon the Getting Started in R workshop and gives participants a foundational understanding of what makes good visualizations and how to create them in R.  Participants should already have completed the Getting Started in R workshop or have a working knowledge of using functions, vectors, and data frames in R.  Sign up here

This workshop is held in partnership with the OSU Libraries Research Commons.

TDAI R Programming Workshop - Autumn 2020×
This series of workshops in October is in celebration of Data Analytics Month at Ohio State

 

Getting Started in R – 2 sessions

Session 1 – October 5, 2020, 1-3pm
Session 2 – October 12, 2020, 1-3pm

In this workshop, you will learn how to get started in R and Rstudio.  This workshop covers basic R functionality:  objects, functions, vectors, and various data operations.  Registering for this workshop signs you up for BOTH Getting Started sessions, as the sessions build upon each other.

Statistical Analysis in R

Date and Time: October 19, 2020 from 1-3 pm

This workshop builds upon the Getting Started in R workshop and gives participants a foundation for performing statistical analysis using functions built into R.  Participants should already have completed the Getting Started in R workshop or have a working knowledge of objects, functions, vectors, and data operations in R.

Data Visualization in R

Date/Time: Oct 26, 1-3 pm

This workshop builds upon the Getting Started in R workshop and gives participants a foundational understanding of what makes good visualizations and how to create them in R.  Participants should already have completed the Getting Started in R workshop or have a working knowledge of using functions, vectors and data frames in R.

This workshop is held in partnership with the OSU Libraries Research Commons

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Suggested Workshop Paths

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.

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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Data Event Calendar

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 2021

Sun Mon Tue Wed Thu Fri Sat
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  • Webinar: Introduction to Supercomputing at OSC
  • Free Data Viz Tools Series: Data Visualization Demo Using Datawrapper
11
  • EHE: SPSS Workshop Series
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  • Tableau User Group Meeting
  • Introduction to Data Visualization
  • EHE: SPSS Workshop Series
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  • TDAI: Getting Started in R
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  • EHE: SPSS Workshop Series
  • Introduction to Tableau for Data Visualization
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  • TDAI: Getting Started in R
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