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.
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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: Geocoding and Mapping in R
August 17, 2018
Author:
Patty Frontiera
Workshop: R FUN!damentals: Part 4
August 17, 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.
August 16, 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.
Workshop: Python FUN!damentals: Part 3
August 16, 2018
Author:
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:
Workshop: Web Maps with Leaflet in R
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.
Workshop: R FUN!damentals: Part 3
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:
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.
Workshop: Python FUN!damentals: Part 2
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:
Workshop: R FUN!damentals: Part 2
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.
Workshop: Python FUN!damentals: Part 1
August 14, 2018
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: Geospatial Data in R: Part 2
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
Workshop: R FUN!damentals: Part 1
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!
Workshop: Qualitative Data Analysis with MAXQDA, Part 1: Primer on Qual Research & Intro to QDA Software
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.
Workshop: Git FUN!damentals
August 13, 2018
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.
Workshop: Geospatial Data in R: Part 1
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
Workshop: Programming FUN!damentals
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.
Workshop: Basics of Excel: Part 2
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.
Workshop: The Basics of Excel: Part 1
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.
Workshop: Python FUN!damentals: Part 4
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.
