This three-part series will cover the following materials:
Part 1: Introduction (Tuesday, August 15)
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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: Stata FUN!damentals: Part 2
August 16, 2017
Author:
Isabelle Cohen
August 16, 2017
Author:
Shelly Steward
This workshop will focus on how a researcher may engage the coding and analysis process within a systematic and often non-linear qualitative research process. Attendees should have an introductory understanding of qualitative research, including the overall process. This can be achieved by attending earlier workshops in the series.
August 15, 2017
Author:
Josué Meléndez Rodríguez
This workshop will consider the overall qualitative research process as one that is both systematic and flexible. Examples of qualitative research projects will be studied and discussed in small groups. Then, attendees will design a sample research plan for themselves. Attendees should have an introductory understanding of qualitative research.
Workshop: Python FUN!damentals: Part 2
August 15, 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 2 Topics:
August 15, 2017
Author:
Josué Meléndez Rodríguez
This workshop will introduce students to philosophical concepts (i.e., ontology, epistemology, and axiology) in relation to research. Attendees will explore their own philosophical orientations and spend time bridging philosophies, methodologies, and methods. Attendees should have an introductory understanding of qualitative research.
Workshop: R FUN!damentals: Part 2
August 15, 2017
Author:
Samy Abdel-Ghaffar
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: Stata FUN!damentals: Part 1
August 15, 2017
Author:
Jackie Ferguson
This three-part series will cover the following materials:
Part 1: Introduction (Tuesday, August 15)
August 14, 2017
Author:
Josué Meléndez Rodríguez
This workshop focuses on explaining the differences between qualitative methodologies and methods, as well as introducing a variety of each. Attendees will have time to explore and discuss their interests.
Workshop: Python FUN!damentals: Part 1
August 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 1 Topics:
August 14, 2017
Author:
Nora Broege
This two-part workshop provides an introduction to both quantitative and qualitative social science methods.
August 14, 2017
Author:
Josué Meléndez Rodríguez
This is a welcome event for attendees of a week-long workshop series offered under the title "Introduction to Qualitative Research: Philosophy to Analysis." This event is designed for those who plan to attend all (or most) workshops in the series (available for registration via D-Lab's website).
Workshop: R FUN!damentals: Part 1
August 14, 2017
Author:
Samy Abdel-Ghaffar
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: Programming FUN!damentals
August 11, 2017
Author:
Alex Estes
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.
May 19, 2017
Author:
Scott McGinnis
This four-part intensive will introduce a suite of related technologies, centered on XML, for working with structured texts and data. The course begins by introducing basic concepts with an exercise in creating an HTML webpage. After that, it will move to cover several important XML applications, with exercises in dynamic mapping (with KML) and structured markup of literary and historical tex
May 18, 2017
Author:
Scott McGinnis
This four-part intensive will introduce a suite of related technologies, centered on XML, for working with structured texts and data. The course begins by introducing basic concepts with an exercise in creating an HTML webpage. After that, it will move to cover several important XML applications, with exercises in dynamic mapping (with KML) and structured markup of literary and historical tex
May 17, 2017
Author:
Scott McGinnis
This four-part intensive will introduce a suite of related technologies, centered on XML, for working with structured texts and data. The course begins by introducing basic concepts with an exercise in creating an HTML webpage. After that, it will move to cover several important XML applications, with exercises in dynamic mapping (with KML) and structured markup of literary and historical tex
May 16, 2017
Author:
Scott McGinnis
This four-part intensive will introduce a suite of related technologies, centered on XML, for working with structured texts and data. The course begins by introducing basic concepts with an exercise in creating an HTML webpage. After that, it will move to cover several important XML applications, with exercises in dynamic mapping (with KML) and structured markup of literary and historical tex
Workshop: The Basics of Excel: Part 2
May 11, 2017
Author:
Daniela Vargas Mallard
This two-part series will focus on how to set up database-like structures, navigate them, create models and build various types of reports in Microsoft Excel. By the end of this series, participants will be able to sort and look for information within large datasets, use character-based functions, pivot tables, and build basic financial models.
May 11, 2017
Author:
Ben Gebre-Medhin
In this workshop we will cover two main supervised text analysis methods, the dictionary method, and supervised classification. We will use list comprehension to implement the dictionary method, using sentiment analysis as our example.
May 11, 2017
Author:
Nora Broege
This two-part workshop provides an introduction to both quantitative and qualitative social science methods.
