Part 2 Topics:
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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: Python Fundamentals: Part 2
January 23, 2019
Author:
Evan Muzzall
Workshop: Python Fundamentals: Part 1
January 22, 2019
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:
Workshop: R Bootcamp
January 19, 2019 to January 20, 2019
Author:
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
Workshop: R Fundamentals: Part 4
January 18, 2019
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.
Workshop: R Fundamentals: Part 3
January 17, 2019
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.
Workshop: R Fundamentals: Part 2
January 15, 2019
Author:
Evan Muzzall
R Fundamentals Part 2: Subsetting and Reshaping
Workshop: R Fundamentals: Part 1
January 14, 2019
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!
Workshop: Python Fundamentals: Part 4
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.
Workshop: Python Fundamentals: Part 3
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:
Workshop: Python Fundamentals: Part 2
December 12, 2018
Author:
Evan Muzzall
Part 2 Topics:
Workshop: GIS Fundamentals with QGIS: Part 2
December 12, 2018
Author:
Beki McElvain
Part 2: Working With Projections & Spatial Queries
Workshop: Python Fundamentals: Part 1
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:
Workshop: GIS Fundamentals with QGIS: Part 1
December 11, 2018
Author:
Beki McElvain
Part 1: Introduction to QGIS
Workshop: Git Fundamentals
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.
Workshop: Programming Fundamentals
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.
Workshop: R Fundamentals: Part 4
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.
Workshop: Geospatial Data in R: Part 2
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
Workshop: Introduction to MAXQDA, Part 2 of 2
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.
