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.
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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: Programming FUN!damentals
February 24, 2017
Workshop: Zotero: Beginning and Intermediate Steps
February 23, 2017
Author:
Jennifer Dorner
Zotero is an open-source citation manager that allows you to save information while searching and browsing the Web. With a single click, Zotero saves citations (as well as screen shots and documents) and enables you to create customized bibliographies in multiple citation styles, including MLA, Chicago, and APA.
This workshop will include:
Workshop: R FUN!damentals: Part 4
February 23, 2017
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: Introduction to Regular Expressions
February 22, 2017
Author:
Natalie Ahn
Are you trying to search for or clean up certain segments of text in your documents or data files, but it's taking hours to search and replace, because you have to type many slightly different versions of the keywords you're searching for? Perhaps you need to replace month names with just the first three letters, but you don't want to do this 12 times (once for each month), for lowercase, capit
Workshop: Data Wrangling and Manipulation in R
February 22, 2017
Author:
Evan Muzzall
It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data. This workshop will introduce tools (notably dplyr and tidyr) that makes data wrangling and manipulation much easier. Participants will learn how to use these packages to subset and reshape data sets, do calculations across groups of data, clean data, and other useful stuff.
Workshop: Python Fundamentals: Part 4
February 21, 2017
Author:
Alex Estes
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: R FUN!damentals: Part 3
February 21, 2017
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: Python Fundamentals: Part 3
February 17, 2017
Author:
Rachel Jansen
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:
February 16, 2017
Join the Qualitative Methods Group (QMG) for a discussion with advanced graduate student Sunmin Kim about using archival materials to construct a "historical ethnography" to trace how events and decisions come to pass. Based on examples from his own research and the prior literature, Mr. Kim will discuss how to approach historical ethnography and how it can be used.
Workshop: R FUN!damentals: Part 2
February 16, 2017
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!
February 15, 2017
Author:
Evan Muzzall
Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data.
Workshop: Python Fundamentals: Part 3
February 14, 2017
Author:
Alex Estes
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: R FUN!damentals: Part 1
February 14, 2017
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!
February 13, 2017
Author:
Zawadi Rucks-Ahidiana
Please join the Qualitative Methods Group (QMG) for a demonstration of Provalis Research's mixed-methods research suite: QDA Miner, WordStat, and Simstat. The package can be used for qualitative data analysis, text/content analysis, text mining, and statistical analysis. Learn more here!
February 13, 2017
Author:
Evan Muzzall
Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data.
Workshop: Python Fundamentals: Part 2
February 10, 2017
Author:
Akos Kokai
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: Introduction to Pandas in Python
February 10, 2017
Author:
Akos Kokai
Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive. It enables doing practical, real world data analysis in Python, simliar to spreadsheet tables in Excel or data frames in R.
Workshop: R Fundamentals: Part 4
February 8, 2017
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: Python Fundamentals: Part 2
February 7, 2017
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 Fundamentals: Part 3
February 6, 2017
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!
