Workshop Series

 

We are hosting a virtual workshop series during fall semester 2023 to help UA researchers improve their reproducibility and data science skills

Objectives

  • Become comfortable with sharing and collaborating on research products on GitHub using git
  • Learn approaches for how to better organize research projects and their corresponding code, including intermediate R skills
  • Be able to document projects in several ways, including Rmarkdowns and READMEs

This workshop series will not cover statistical methods or modeling, mathematics, introductory R, or any other programming languages besides shell, git, and R. These topics can be taught separately by request.

Prerequisites

You should take this workshop if:

  • You are a graduate student who has collected their data and is ready to analyze and document it, or a researcher or postdoc who is looking to further skills in the areas outlined above
  • You are working on research projects that could benefit from improved collaboration, documentation, and organization
  • You are comfortable with introductory R skills
  • You do not have any prior experience with version control, or want a stronger foundation

Structure

The complete lesson materials will be taught over ten sessions (see topic and dates below) consisting of code-along learning, through which participants will iteratively build and practice their skills. Then, participants will apply their new skills to personal research projects. We will host two follow-up sessions to: 1) check-in for updates and problem solving, and 2) showcase student projects. 

This workshop series been previously offered at University of Arizona. 

Schedule
Date & time topic With Link to LESSON material
Tuesday September 5, 11am - 1pm Shell scripting
Thursday September 7, 11am - 1pm Version control with git
Tuesday September 12, 11am - 1pm Developing code on GitHub
Thursday September 14, 11am - 1pm Collaborating with GitHub
Tuesday September 19, 11am - 1pm Project management and coding best practices
Thursday September 21, 11am - 1pm Intermediate R programming I
Tuesday September 26, 11am - 1pm Intermediate R programming II
Thursday September 28, 11am - 1pm Data manipulation
Tuesday October 3, 11am - 1pm Reproducible environments
Thursday October 5, 11am - 1pm Documentation
Tuesday October 17, 11am - 1pm Project updates and help session
Tuesday October 24, 11am - 1pm Project showcase with participant demos (5 minutes, no slides)

Apply

If you are interested, complete this application form! It should take no more than five minutes and requires no prior preparation. We will start notifying applicants on August 14, 2023, and then have rolling admissions until the application closes on August 28, 2023. The workshop will be limited to 20 total participants, with priority given to researchers in ALVSCE (including CALS departments) and those who can commit to at least 10 of the 12 sessions. 

If you have any questions, please reach out to the instructors Eric Scott and Kristina Riemer!

When

11 a.m. to 1 p.m. Sept. 5, 2023
11 a.m. to 1 p.m. Sept. 7, 2023
11 a.m. to 1 p.m. Sept. 12, 2023
11 a.m. to 1 p.m. Sept. 14, 2023
11 a.m. to 1 p.m. Sept. 19, 2023
11 a.m. to 1 p.m. Sept. 21, 2023
11 a.m. to 1 p.m. Sept. 26, 2023
11 a.m. to 1 p.m. Sept. 28, 2023
11 a.m. to 1 p.m. Oct. 3, 2023
11 a.m. to 1 p.m. Oct. 5, 2023
11 a.m. to 1 p.m. Oct. 17, 2023
11 a.m. to 1 p.m. Oct. 24, 2023

 

There are over 100 packages that extend the functionality of ggplot2 to allow you to make just about any data visualization you can think of! In this workshop we’ll cover a few of our favorite extensions and show you how to find the ggplot2 extension that meets your data visualization needs.

Additional Links

When

11 a.m. to 1 p.m. June 26, 2023

Where

Event Contacts

If you know how to make basic plots with `ggplot2`, but struggle to add on finishing touches like specifying colors, customizing axes, adding text to plots, and creating multi-panel figures, then this workshop is for you!

Additional Links

When

11 a.m. to 1 p.m. June 12, 2023

Where

Event Contacts

In the first of a 3-part series, you'll gain a better understanding of the "grammar of graphics"—the theory underlying the `ggplot2` package. Using practical examples, you'll learn how understanding the grammar of graphics can help you build more creative, complex, information-rich visualizations.

When

11 a.m. to 1 p.m. June 5, 2023

Where

Event Contacts

The CCT Data Science team is offering a workshop series during spring semester 2022 to help UA researchers improve their reproducibility and data science skills. This opportunity is available to all researchers in ALVSCE.

 

Objectives

  • Become comfortable with sharing and collaborating on research products on GitHub using git
  • Learn how approaches for how to better organize research projects and their corresponding code, including intermediate R skills
  • Be able to document projects in several ways, including Rmarkdowns and READMEs

This workshop series will not cover statistical methods or modeling, mathematics, introductory R, or any other programming languages besides R. These topics can be taught separately by request.

 

You should take this workshop if:

  • You are a graduate student who has collected their data and is ready to analyze and document it, or a researcher or postdoc who is looking to further skills in the areas outlined above
  • You are working on research projects that could benefit from improved collaboration, documentation, and organization
  • You are comfortable with intro R skills
  • You do not have any prior experience with version control, or want a stronger foundation

Topics for each session are listed below, and you can look at more detailed lesson materials. This workshop series has been taught previously and successfully to a group of ESA SEEDS researchers.

Eight workshop sessions will meet twice weekly through the month of February and will be hands-ons walkthroughs of content. After, participants will be able to apply new skills to their research projects. We will have a followup session for updates and problem solving, and then a final session the first week of April for short, no-slide demonstrations of progress.

Schedule
Date & time topic With Link to material
Tuesday February 1, 1-3pm Shell scripting
Thursday February 3, 1-3pm Version control with git
Tuesday February 8, 1-3pm Sharing with GitHub
Thursday February 10, 1-3pm Project management and coding best practices
Tuesday February 15, 1-3pm Data manipulation
Thursday February 17, 1-3pm Reproducibility of R code I
Tuesday February 22, 1-3pm Reproducibility of R code II and plotting I
Thursday February 24, 1-3pm Plotting II and documentation
Thursday March 24, 1-3pm Project updates and help session
Thursday April 7, 1-3pm Project demonstrations (5 minutes, no slides)

If you are interested, please fill out this application form! It should take no more than five minutes and requires no prior preparation. We will start notifying applicants on December 15, 2021, and then rolling admissions until the application closes on January 17, 2022. In order to provide one-on-one help and create a collegial atmosphere, we will be limiting the total number of participants to 15 for this workshop series.

If you have any questions, please reach out to the instructors Jessica Guo and Kristina Riemer!

When

Midnight Feb. 1, 2022 to 11:59 p.m. April 7, 2022

 

We are hosting a virtual workshop series during fall semester 2022 to help UA researchers improve their reproducibility and data science skills

Objectives

  • Become comfortable with sharing and collaborating on research products on GitHub using git
  • Learn approaches for how to better organize research projects and their corresponding code, including intermediate R skills
  • Be able to document projects in several ways, including Rmarkdowns and READMEs

This workshop series will not cover statistical methods or modeling, mathematics, introductory R, or any other programming languages besides shell, git, and R. These topics can be taught separately by request.

Prerequisites

You should take this workshop if:

  • You are a graduate student who has collected their data and is ready to analyze and document it, or a researcher or postdoc who is looking to further skills in the areas outlined above
  • You are working on research projects that could benefit from improved collaboration, documentation, and organization
  • You are comfortable with introductory R skills
  • You do not have any prior experience with version control, or want a stronger foundation

Structure

The complete lesson materials will be taught over ten sessions (see topic and dates below) consisting of code-along learning, through which participants will iteratively build and practice their skills. Then, participants will apply their new skills to personal research projects. We will host two follow-up sessions to: 1) check-in for updates and problem solving, and 2) showcase student projects. 

This workshop series been previously offered at University of Arizona. 

Schedule
Date & time topic With Link to LESSON material
Tuesday September 6, 11am - 1pm Shell scripting
Thursday September 8, 11am - 1pm Version control with git
Tuesday September 13, 11am - 1pm Developing code on GitHub
Thursday September 15, 11am - 1pm Collaborating with GitHub
Tuesday September 20, 11am - 1pm Project management and coding best practices
Thursday September 22, 11am - 1pm Intermediate R programming I
Tuesday September 27, 11am - 1pm Intermediate R programming II
Thursday September 29, 11am - 1pm Data manipulation
Tuesday October 4, 11am - 1pm Data visualization
Thursday October 6, 11am - 1pm Documentation
Thursday October 20, 11am - 1pm Project updates and help session
Thursday October 27, 11am - 1pm Project showcase with participant demos (5 minutes, no slides)

Apply

If you are interested, complete this application form! It should take no more than five minutes and requires no prior preparation. We will start notifying applicants on August 12, 2022, and then have rolling admissions until the application closes on August 26, 2022. The workshop will be limited to 20 total participants, with priority given to researchers in ALVSCE (including CALS departments) and those who can commit to at least 10 of the 12 sessions. 

If you have any questions, please reach out to the instructors Jessica Guo and Kristina Riemer!

When

Midnight Sept. 6, 2022 to 11:59 p.m. Oct. 7, 2022
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