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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., 15-Oct-18
E.g., 15-Oct-18
August 29, 2018
Coordinator:
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. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.

Topics Covered Will Include:

August 29, 2018
August 27, 2018
Coordinator:
Lindsay Bayham

This workshop has been cancelled due to instructor illness. This workshop will be rescheduled at a later date. Please keep an eye on the D-Lab newsletter and the QMG email list for the new date/time. Please accept our sincere apologies for any inconvenience this causes.This workshop will focus on organizing, coding, and analyzing qualitative data using Dedoose.

August 27, 2018
Coordinator:
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. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.

Topics Covered Will Include:

Workshop: R Bootcamp 2018
August 18, 2018 to August 19, 2018
Coordinator:
Christopher Paciorek, Evan Muzzall

The workshop will be an intensive two-day introduction to R using RStudio. After the first morning session, the workshop will be split into two separate tracks. Topics will include

August 17, 2018
Coordinator:
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 17, 2018
Coordinator:
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.

August 17, 2018
Coordinator:
Patty Frontiera

This workshop will introduce geocoding - the process of determining the geographic coordinates for place names, zip codes or addresses. The first part of this workshop will be an introduction to the process of geocoding and strategies for achieving good results. We will practice this workflow using the R ggmap package, which calls the Google Geocoding service.

August 17, 2018
Coordinator:
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.

August 16, 2018
Coordinator:
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 16, 2018
Coordinator:
Chris Gagne

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:

August 16, 2018
Coordinator:
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
Coordinator:
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
Coordinator:
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
Coordinator:
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
Coordinator:
Evan Muzzall

R FUN!damentals Part 2: Subsetting and Reshaping

August 14, 2018
Coordinator:
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
Coordinator:
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
Coordinator:
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
Coordinator:
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!

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