Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots. You will also be introduced to coding statistical data analysis via t-tests, analyses of variance, correlation, and linear regression.
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This is an archive of our past training offerings. We are looking to include workshops on topics not yet covered here. Is there something not currently on the list? Send us a proposal.
Workshop: R Fundamentals Part 3
February 10, 2020
Author:
Evan Muzzall
Workshop: Stata Fundamentals Part 3
February 7, 2020
Author:
Véronique Irwin
This three-part series will cover the following materials:
Part 1: Introduction
February 7, 2020
Author:
Evan Muzzall
Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data.
February 7, 2020
Author:
Evan Muzzall
Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data.
Working Group Session: Black Recruitment and Retention Center
February 6, 2020
Author:
Gloria Ashaolu
The Black Recruitment and Retention Center is a student initiated, AND entirely a student ran organization that was founded in 1983 as direct response to the removal of Black students from affirmative action policies and programs, including admissions consideration, early academic outreach programs, and retention services.
Working Group Session: Data Scholars: Discovery
February 6, 2020
Workshop: Python Fundamentals Part 2
February 6, 2020
Author:
Aniket Kesari
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.
Part 2 Topics:
Working Group Session: Data Scholars: Pathways
February 5, 2020
Workshop: Stata Fundamentals Part 2
February 5, 2020
Author:
Isabelle Cohen
This three-part series will cover the following materials:
Part 1: Introduction
Workshop: R Fundamentals Part 2
February 5, 2020
Author:
Evan Muzzall
R Fundamentals Part 2: Subsetting and Reshaping
Working Group Session: Data Scholars: Foundations
February 4, 2020
Workshop: Python Fundamentals Part 1
February 4, 2020
Author:
Aniket Kesari
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.
Part 1 Topics:
Workshop: Stata Fundamentals Part 1
February 3, 2020
Author:
Hero Ashman
This three-part series will cover the following materials:
Part 1: Introduction
Workshop: R Fundamentals Part 1
February 3, 2020
Author:
Evan Muzzall
Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field. Learn to develop and train your data skills for free at our R workshops!
January 31, 2020
Author:
Drew Hart
Geospatial data are an important component data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research.
Geospatial Data in R, part 3: Working with raster data
January 31, 2020
Author:
Evan Muzzall
Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data.
Working Group Session: Black Recruitment and Retention Center
January 30, 2020
Author:
Gloria Ashaolu
The Black Recruitment and Retention Center is a student initiated, AND entirely a student ran organization that was founded in 1983 as direct response to the removal of Black students from affirmative action policies and programs, including admissions consideration, early academic outreach programs, and retention services.
Working Group Session: Data Scholars: Discovery
January 30, 2020
Workshop: Geospatial Data in R: Part 2
January 30, 2020
Author:
Drew Hart
Geospatial data are an important component data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research.
Geospatial Data in R, part 2: Geoprocessing and analysis
Workshop: Geospatial Data in R: Part 1
January 28, 2020
Author:
Drew Hart
Geospatial data are an important component data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research.
Geospatial Data in R, part I: Getting started with spatial data objects
