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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., 20-Apr-18
E.g., 20-Apr-18
September 17, 2015
Coordinator:
Dillon Niederhut

The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying, analyzing, and publishing data in R.

Day 1 (basics of R)

September 14, 2015 to September 16, 2015
Coordinator:
Nick Adams

This INTENSIVE offers an introduction to a range of Text Analysis approaches, including dictionary methods, classification and machine learning, TF-IDF, clustering, and topic modeling. Tutorials are performed in R with RStudio.

Day 1: Introduction to text analysis approaches. What is automated text analysis? What questions can we ask and answer using these approaches?

September 11, 2015
Coordinator:
Zawadi Rucks-Ahidiana

The D-Lab's Qualitative Methods Group (QMG) invites current graduate students who are actively working with qualitative data this semester (collecting, analyzing, or writing about qualitative data) to meet other graduate students interested in forming a support group.  These Qualitative Research Support Groups serve as a source of accountability, trouble shooting, and writing groups depending o

September 10, 2015
Coordinator:
Jenny Palomino

Join the Qualitative Methods Group (QMG) for a conversation with Dr. Alice Kelly and Ms. Jenny Palomino about conducting mixed methods research with interview and spatial data.  Dr. Kelly and Ms. Palomino will discuss how they ended up merging interview and spatial methods for their project, and the challenges and successes of working with both types of data.

August 27, 2015 to August 29, 2015
Coordinator:
Sendhil Mullainathan

Registration CLOSED: LECTURES ARE FULL

This mini-course introduces machine learning tools to empirically knowledgeable economists  and other social scientists. It aims to answer frequent questions we have about this material, such as:

1) What value do these tools have without causal inference?

August 25, 2015
Coordinator:
Andy Lyons

A long-standing challenge to the broader adoption of R is its command line interface and the steep learning curve of the syntax. This is where Shiny comes in. Shiny is a package that allows you to create HTML based applications that connect to R running in the background. Shiny apps can be run locally or off the internet, making it far simpler for you to share your work with non-R users.

August 24, 2015
Coordinator:
Andy Lyons

The continuous advancement of web technologies has raised the bar for reporting and visualizing data. Static plots and pdfs are increasingly being supplanted by interactive data graphics. In this workshop, we will learn how to create interactive plots, tables, and maps in R by writing R Markdown documents in RStudio.

Workshop: R Bootcamp
August 22, 2015
Coordinator:
Christopher Paciorek

The workshop will be an intensive two-day introduction to R using RStudio. Topics will include

August 19, 2015 to August 21, 2015
Coordinator:
Chris Kennedy

The workshop will cover (in a teaching computer lab environment): 

August 18, 2015 to August 21, 2015
Coordinator:
Dav Clark, Dillon Niederhut, Raymond Yee, Kunal Marwaha

Get an orientation to the basics of working with social science data in python. We'll start from the ground up, from the basics of naming variables, making decisions, and repeating operations.

Workshop: R, INTENSIVE
August 18, 2015 to August 21, 2015
Coordinator:
Dillon Niederhut, Shinhye Choi

The R Intensive workshop series is designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying, analyzing, and publishing data in R. Details of daily topics are outlined below.

Please note that this workshop series is not a substitute for a course in statistics.

Day 1 (basics of R)

August 17, 2015
Coordinator:
Dillon Niederhut

This is exactly the same workshop as the 9am FUNdamentals - there is no need to register for both

This workshop provides an introduction to the basics of programming that instructors, workshops, and documentation typically assume you to be familiar with. You will learn the fundamentals of:

1. Unix

2. Bash

3. Scripting

4. Version control

August 17, 2015
Coordinator:
Dillon Niederhut

This workshop provides an introduction to the basics of programming that instructors, workshops, and documentation typically assume you to be familiar with. You will learn the fundamentals of:

1. Unix

2. Bash

3. Scripting

4. Version control

June 18, 2015
Coordinator:
Andy Eschbacher

CartoDB.com is a versatile cloud-powered spatial database, mapping, analysis and visualization engine that facilitates the process of building spatial applications for both web and mobile devices. The platform is currently used by major news organizations, research institutions, non-profits and geospatial application developers.

June 17, 2015 to June 19, 2015
Coordinator:
Nick Adams

** THIS INTENSIVE HAS BEEN CANCELLED**

We apologize for any inconvenience.

This INTENSIVE offers an introduction to a range of Text Analysis approaches, including dictionary methods, classification and machine learning, TF-IDF, clustering, and topic modeling. Tutorials are performed in R with RStudio.

June 8, 2015
Coordinator:
Felix Elwert

If you have need to deal with unobserved confounding, selection, or measurement error, this course is for you. This course teaches a rigorous applied survey of modern IV analysis and related techniques, such as regression discontinuity design. We present classical and very recent results from econometrics, statistics, biostatistics, and computer science with a focus on what is useful in practice. The course is aimed at graduate students and researchers in the social sciences, population health sciences, and business.

June 1, 2015
Coordinator:
Felix Elwert

If you want to know how to extract causal information from observed data, this course is for you. The course is aimed at graduate students and researchers in the social sciences, population health sciences, and business. We introduce key tools from statistics, economics, and computer science to learn when and how researchers can draw causal conclusions from observational (non-experimental) data. We adopt the modern potential outcomes framework of causal inference and draw liberally on graphical notation and conventional structural equations to aid understanding.

May 29, 2015
Coordinator:
Dillon Niederhut

R markdown is a fast, simple, and convenient way to generate fully reproducible documents based on the R syntax that you are already using for your analyses. Are you presenting at lab meeting? You can copy and paste your .R into .Rmd, click one button, and create a presentation that can be opened on any computer with a web browser. Do you want to support reproducibility in science?

Workshop: R Intensive
May 26, 2015 to May 29, 2015
Coordinator:
Clara Cohen, Chris Krogslund, Dillon Niederhut

THIS WORKSHOP IS FULL!

This four day R Intensive will provide an introduction to R.

Day 1: R for Beginners with Clara Cohen

May 26, 2015 to May 28, 2015
Coordinator:
Zawadi Rucks-Ahidiana

This workshop series will introduce attendees to the reason for using a qualitative data analysis package for the coding and analysis process.  We will begin by discussing the distinction between coding and analysis, the benefits of using a QDA package, and then view a brief demonstration of a specific program.

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