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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.

E.g., 19-Dec-18
E.g., 19-Dec-18
December 14, 2018
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.

December 13, 2018
Author:
Evan Muzzall

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:

December 13, 2018
Author:
Patty Frontiera
Since 1790, the US Census has been THE source of data about American people, providing valuable insights to social scientists and humanists.  Mapping these data by census geographies adds more value by allowing researchers to explore spatial trends and outliers.  This workshop will introduce three key packages for streamlining census data workflows in R:
December 12, 2018
Author:
Evan Muzzall

Part 2 Topics:

December 12, 2018
Author:
Beki McElvain

Part 2: Working With Projections & Spatial Queries

December 11, 2018
Author:
Evan Muzzall

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:

December 11, 2018
Author:
Beki McElvain

Part 1: Introduction to QGIS

December 10, 2018
Author:
Aaron Culich

Git is a powerful tool for keeping track of changes you make to the files in a project. You can use it to synchronize your work across computers, collaborate with others, and even deploy applications to the cloud. In this workshop, we'll learn the basics of understanding and using Git, including working with the popular "social coding" website, GitHub.

December 10, 2018
Author:
Drew Hart

Raster data are used to represent geographic phenomena that are present and can be measured anywhere in a study area, like elevation, temperature, rainfall, land cover, soil type, etc. These data are a valuable resource for social scientists, planners, and engineers as well as natural scientists. This workshop will introduce basic raster concepts and methods for working with raster data in R.

December 10, 2018
Author:
Evan Muzzall

An intro to the basics that instructors often assume you know, but that you probably never had good instruction on! After this course, you should be able to more easily start learning to program (e.g., in our R or Python Fundamentals series), follow instructions and documentation online (e.g., StackExchange), and communicate better with your collaborators who are programming.

December 7, 2018
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.

December 7, 2018
Author:
Drew Hart

Geospatial data are an important component of social science and humanities data visualization and analysis. The R programming language is a great platform for exploring these data and integrating them into a research project. 

Geospatial Data in R, part 2: Geoprocessing and analysis

December 6, 2018
Author:
Josué Meléndez Rodríguez

This is a two-part series for qualitative researchers interested in learning about MAXQDA, a qualitative data analysis (QDA) software program for which D-Lab provides substantive support.

December 6, 2018
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.

December 6, 2018
Author:
Drew Hart

Geospatial data are an important component of social science and humanities data visualization and analysis. 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

December 5, 2018
Author:
Josué Meléndez Rodríguez

This is a two-part series for qualitative researchers interested in learning about MAXQDA, a qualitative data analysis (QDA) software program for which D-Lab provides substantive support.

This session introduces the basic features of MAXQDA, including how to add data sources, set up the coding scheme, and apply codes.

December 5, 2018
Author:
Jackie Ferguson

This three-part series will cover the following materials:

Part 1:  Introduction

December 4, 2018
Author:
Evan Muzzall

R Fundamentals Part 2: Subsetting and Reshaping

December 4, 2018
Author:
Josué Meléndez Rodríguez

This session focuses on teaching how to create, organize, and apply codes for different kinds of qualitative research projects and will introduce qualitative data analysis (QDA) software, noting benefits and providing an overview of the four most popular programs (ATLAS.ti, Dedoose, NVivo, and MAXQDA).

December 4, 2018
Author:
Isabelle Cohen

This three-part series will cover the following materials:

Part 1:  Introduction

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