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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., 22-Apr-18
E.g., 22-Apr-18
December 8, 2017
Coordinator:
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.

December 7, 2017
Coordinator:
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:

December 7, 2017
Coordinator:
Josué Meléndez Rodríguez

Join qualitative and mixed-methods researchers for an informal meet’n’greet at D-Lab. Bring a valid ID with date-of-birth, and enjoy a couple glasses on us!

December 7, 2017
Coordinator:
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.

December 7, 2017
Coordinator:
Lindsay Bayham

This interactive workshop will discuss how to analyze qualitative data, including how to develop codes, look for patterns, answer research questions, and build an argument in order to write the findings, discussion, and conclusion sections of a research paper. Researchers at any stage in the process are welcome.

 

December 7, 2017
Coordinator:
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.

December 6, 2017
Coordinator:
Geoff Bacon

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:

December 6, 2017
Coordinator:
Lindsay Bayham

This workshop focuses on how to organize and code qualitative data in Dedoose. The training will outline key decisions researchers must make in the coding process, as well as review how to start a new project and engage in basic tasks.

December 6, 2017
Coordinator:
Ben Gebre-Medhin

This hands on workshop builds on part 2 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods. This workshop will cover a) vectorization and Document Term Matrices, b) weighting (tf-idf), and c) uncovering patterns using topic modeling.

December 6, 2017
Coordinator:
Zawadi Rucks-Ahidiana

This workshop focuses on how to organize and code qualitative data in MaxQDA. The training will outline key decisions researchers must make in the coding process, as well as review how to start a new project and engage in basic tasks.

December 6, 2017
Coordinator:
Evan Muzzall

R FUN!damentals Part 2: Subsetting and Reshaping

December 5, 2017
Coordinator:
Stacy Reardon

If you've tinkered in WordPress, Google Sites, or other web publishing tools, chances are you've wanted more control over the placement and appearance of your content. With a little HTML and CSS under your belt, you'll know how to edit "under the hood" so you can place an image exactly where you want it, customize the formatting of text, or troubleshoot copy & paste issues.

December 5, 2017
Coordinator:
Celia Emmelhainz

This workshop focuses on how to organize and code qualitative data in ATLAS.ti. The training will outline key decisions researchers must make in the coding process, as well as review how to start a new project and engage in basic tasks.

December 5, 2017
Coordinator:
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:

December 5, 2017
Coordinator:
Ben Gebre-Medhin

This hands on workshop goes through the common “preprocessing recipe” that is used as the foundation for a variety of other applications as well as some basic natural language processing techniques.  These include: a) digitization (utf 8), b) removal of stopwords, numbers, punctuation, c) tokenization, d) calculation of word frequencies / proportions, e) part of speech tagging, and f) concordan

December 5, 2017
Coordinator:
Desiree French

This workshop focuses on how to organize and code qualitative data in NVivo. The training will outline key decisions researchers must make in the coding process, as well as review how to start a new project and engage in basic tasks.

December 5, 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!

December 4, 2017
Coordinator:
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.

December 4, 2017
Coordinator:
Josué Meléndez Rodríguez

This workshop will introduce participants to the use of qualitative data analysis (QDA) software and provide an overview of popular programs. This workshop is ideal for researchers who are new to the idea of using QDA software.

December 4, 2017
Coordinator:
Josué Meléndez Rodríguez

This workshop offers a very basic introduction to qualitative research. First, an overview of the qualitative research process will be presented. Then, attendees will briefly explore (a) philosophical and conceptual considerations regarding research, (b) qualitative methodologies and methods, and (c) ways in which technology can aid the qualitative research process.

 

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