Log in

Sign up for our mailing list!

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.

E.g., 22-Feb-20
E.g., 22-Feb-20
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
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
February 5, 2020
Author:
Isabelle Cohen

This three-part series will cover the following materials:

Part 1:  Introduction

February 5, 2020
Author:
Evan Muzzall

R Fundamentals Part 2: Subsetting and Reshaping

Working Group Session: Data Scholars: Foundations
February 4, 2020
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:

February 3, 2020
Author:
Hero Ashman

This three-part series will cover the following materials:

Part 1:  Introduction

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, Janet Torres

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.

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
January 30, 2020
Author:
Drew Hart, Janet Torres

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

January 28, 2020
Author:
Drew Hart, Janet Torres

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

January 17, 2020
Author:
Drew Hart

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.

January 17, 2020
Author:
Evan Muzzall

R Fundamentals Part 4: Putting it all together

In the final part, we will review data importation, subsetting, and visualization. Students will then be given the majority of time to reproduce a workflow on two different datasets, ask questions, and review the solutions as a group.

January 16, 2020
Author:
Drew Hart

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 3 Topics:

January 16, 2020
Author:
Evan Muzzall

R Fundamentals Part 3: Data Exploration and Analysis

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.

Pages