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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., 26-Jun-17
E.g., 26-Jun-17
February 13, 2017
Coordinator:
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
Coordinator:
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.

February 10, 2017
Coordinator:
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:

February 10, 2017
Coordinator:
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.

February 8, 2017
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!

February 7, 2017
Coordinator:
Chris Hench

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:

February 6, 2017
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!

February 3, 2017
Coordinator:
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 1 Topics:

February 1, 2017
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!

January 31, 2017
Coordinator:
Chris Hench

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:

January 30, 2017
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!

January 27, 2017
Coordinator:
Celia Emmelhainz

This workshop covers how to organize and analyze qualitative data in Atlas.ti. The training will explore what CAQDAS (qualitative analysis) software is, and the benefits of using it to review and analyze your qualitative fieldnotes, text, video, or audio.

January 27, 2017

Wondering if you've provided enough information about how you collected and analyzed your qualitative data? Bring a draft of the data and methods section of a paper or article to get feedback! Attendees will exchange sections and provide each other with feedback. Please bring 2 copies of the sections you'd like others to read.

 

January 27, 2017
Coordinator:
Isabelle Cohen

This three-part series will cover the following materials:

Part I:  Introduction (Wednesday, January 25)

January 27, 2017
Coordinator:
Chris Hench

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.

January 26, 2017
Coordinator:
Deepa Kalpathi

Wondering if the link between your claims and evidence is clear? Bring a draft of the findings section of a paper or article to get feedback! Attendees will exchange sections and provide each other with feedback. Please bring 2 copies of the sections you'd like others to read.

January 26, 2017
Coordinator:
Isabelle Cohen

This three-part series will cover the following materials:

Part I:  Introduction (Wednesday, January 25)

January 25, 2017
Coordinator:
Kenly Brown

This workshop covers how to organize and analyze qualitative data in Dedoose. The training will outline the key decisions the researcher must make in the coding process, as well as teach attendees how to start a new Dedoose project, add codes and set up a code system, code data, add characteristics about data, run analysis tools such as queries, and explore data for further analysis.

January 25, 2017
Coordinator:
Saika Belal

This three-part series will cover the following materials:

Part I:  Introduction (Wednesday, January 25)

January 24, 2017
Coordinator:
Zawadi Rucks-Ahidiana

This workshop covers how to organize and analyze qualitative data in MaxQDA. The training will outline the key decisions researchers must make about approaching coding and what data is most relevant, as well as review how to set up a database, and use folders, codes, document variables, and queries in MaxQDA.

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