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.
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.
For Spring 2021, all workshop sessions will be held via Zoom. Meeting link will be provided to registered participants.
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.
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
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.
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.
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.
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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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.
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.
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.
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.
General Visualization
GIS (mapping)
This is a training path using material from lynda.com, which is an excellent tool for online training and supplemental learning videos. This training path is outlined as part of the IT Academy AWS training at Ohio State.
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.
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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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.
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