Log in

Sign up for our mailing list!

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., 19-Oct-18
E.g., 19-Oct-18
October 18, 2018
Coordinator:
Josué Meléndez Rodríguez

This is a three-part series for qualitative researchers interested in learning about MAXQDA, a qualitative data analysis (QDA) software program for which D-Lab provides substantive support. Participants who do not have MAXQDA are encouraged to download the trial and use their own data sets to engage in hands-on learning durng the workshop.

October 18, 2018
Coordinator:
Thomas L. Piazza

This workshop is Part 2 of a two-part series on survey sampling. Multi-stage sampling is required when a complete list of the target sampling units (persons or households) is unavailable or too expensive to assemble. This workshop will discuss how to select units in stages so that the final sample is a probability sample of the defined population.

October 17, 2018
Coordinator:
Caroline Le Pennec

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.

October 17, 2018
Coordinator:
Evan Muzzall

R FUN!damentals 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 reveiw the solutions as a group.

October 16, 2018
Coordinator:
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:

October 16, 2018
Coordinator:
Thomas L. Piazza

This workshop is the first part of a two-part series on survey sampling. This first workshop will cover the basic principles and methods of sampling. Topics will include a discussion of the various types of samples, the creation of sampling frames, the use of stratification, and basic methods of selecting samples. Determining an appropriate sample size will also be discussed. 

October 15, 2018
Coordinator:
Sean Freeder

This workshop will introduce students to the basics of designing a survey instrument using the Qualtrics platform, such as randomization and survey flow. We will also cover more advanced topics like implementing embedded data and using javascript, as well as tips and tricks on how to use your design to maximize the number of quality responses you get.

October 12, 2018
Coordinator:
Patty Frontiera

Come learn how to turn your data into beautiful webmaps using R and Leaflet, one of the most popular libraries for creating web maps. We’ll cover how to build the entire workflow from raw data to interactive map all within R, so your analysis and mapping are entirely reproducible.

October 11, 2018
Coordinator:
Celia Emmelhainz, Stacy Reardon

Come to this workshop to explore Scrivener, a software program that allows you to organize the many components of writing an academic paper, thesis, fiction book, or nonfiction book. This software can also be used to note ideas, outline, rearrange writing structures, and track changes as your ideas evolve.

October 11, 2018
Coordinator:
Michael Sholinbeck

Participants in this workshop will learn about some of the issues surrounding the collection of health statistics, and will also learn about authoritative sources of health statistics and data. We will look at tools that let you create custom tables of vital statistics (birth, death, etc.), disease statistics, health behavior statistics, and more. The focus will be on U.S.

October 10, 2018
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.

October 9, 2018
Coordinator:
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 2 Topics:

October 4, 2018
Coordinator:
Josué Meléndez Rodríguez

This is a three-part series for qualitative researchers interested in learning about MAXQDA, a qualitative data analysis (QDA) software program for which D-Lab provides substantive support. This session introduces the basic features of MAXQDA, including how to add data sources, set up the coding scheme, and apply codes.

October 4, 2018
Coordinator:
Patty Frontiera

This workshop will cover methods for mapping tabular geospatial data. Participants will learn how to add columns (or fields) to the attribute table that describes geographic features. This allows new variables to be created, updated, mapped and analyzed. We will then explore data table joins that allow you to link the content in two tables together based on a common field.

October 4, 2018
Coordinator:
Max Sgro

This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.

Topics Covered Will Include:

October 3, 2018
Coordinator:
Caroline Le Pennec

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.

October 3, 2018
Coordinator:
Evan Muzzall

R FUN!damentals Part 2: Subsetting and Reshaping

October 2, 2018
Coordinator:
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:

October 2, 2018
Coordinator:
Max Sgro

This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.

Topics Covered Will Include:

October 1, 2018
Coordinator:
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.

Pages