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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., 23-Oct-18
E.g., 23-Oct-18
August 16, 2018
Author:
Patty Frontiera

Come learn how to turn your data into beautiful webmaps using R and Leaflet, one of the most popular libraries for creating web maps. We’ll cover how to build the entire workflow from raw data to interactive map all within R, so your analysis and mapping are entirely reproducible.

August 16, 2018
Author:
Evan Muzzall

R FUN!damentals 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.

August 15, 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 2 Topics:

August 15, 2018
Author:
Claudia von Vacano, Josué Meléndez Rodríguez

This is a five-part series for qualitative researchers, new and experienced, who are interested in using qualitative data analysis (QDA) software to facilitate their studies. This workshop will focus on teaching MAXQDA, a QDA software for which D-Lab offers substantive support.

August 15, 2018
Author:
Evan Muzzall

R FUN!damentals Part 2: Subsetting and Reshaping

August 14, 2018
Author:
Claudia von Vacano, Josué Meléndez Rodríguez

This is a five-part series for qualitative researchers, new and experienced, who are interested in using qualitative data analysis (QDA) software to facilitate their studies. This workshop will focus on teaching MAXQDA, a QDA software for which D-Lab offers substantive support.

August 14, 2018
Author:
Geoff Bacon

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:

August 14, 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

August 14, 2018
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 at the free D-Lab R workshops!

August 13, 2018
Author:
Geoff Bacon

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.

August 13, 2018
Author:
Claudia von Vacano, Josué Meléndez Rodríguez

This is a five-part series for qualitative researchers, new and experienced, who are interested in using qualitative data analysis (QDA) software to facilitate their studies. This workshop will focus on teaching MAXQDA, a QDA software for which D-Lab offers substantive support.

August 13, 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

August 13, 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.

May 9, 2018
Author:
Kimberly Rubens

This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak.

May 7, 2018
Author:
Kimberly Rubens

This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak.

May 4, 2018
Author:
Soumya Gupta

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.

May 4, 2018
Author:
Geoff Bacon

In this workshop we will cover two main supervised text analysis methods, the dictionary method, and supervised classification. We will use list comprehension to implement the dictionary method, using sentiment analysis as our example.

May 4, 2018
Author:
Evan Muzzall

R FUN!damentals Part 4: For-loops and Functions

Students will learn how to write for-loops and functions in R. You will learn how to personalize functions via control structures such as ‘if’ and ‘else’. These learning objectives will be exemplified through introduction to the construction and graphical representation of Monte Carlo resampling simulation.

May 3, 2018
Author:
Lindsay Bayham

This interactive workshop will discuss how to analyze qualitative data, including how to develop codes, look for patterns, answer research questions, and build an argument in order to write the findings, discussion, and conclusion sections of a research paper. Researchers at any stage in the process are welcome.

 

May 3, 2018
Author:
Soumya Gupta

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:

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