ISSR Summer Methodology Workshops | Data Management in R | Matthew Denny

Event date/time: 

Tuesday, May 29, 2018 - 9:00am to 4:00pm
Wednesday, May 30, 2018 - 9:00am to 4:00pm
University of Massachusetts, Amherst | E20 Machmer Hall

SORRY, THIS WORKSHOP HAS REACHED CAPACITY AND IS CLOSED TO REGISTRATION.

Description: In this two-day short course, participants will be introduced to core data management concepts and techniques using the R programming language. We will focus on reading data into R (and writing data from R) from a wide variety of sources, and manipulating and cleaning it for use in statistical and descriptive analyses. We will place an emphasis on providing participants with the skills to deal with poorly formatted source data and multiple datasets at once. The workshop will also include a mini-unit on social network data management, as well as a mini-unit on producing publication-quality plots and graphics. By the end of the workshop, participants should possess the basic skills necessary to perform most data management tasks they are likely to encounter over the course of a research project intended for publication as a scholarly journal article. No previous experience with R is required, and a number of tutorial resources will be provided before the beginning of the course. However, participants are expected to have some very basic experience working with data using software such as R, Stata, SAS, SPSS or Excel.

Goals: By the end of the workshop, participants should possess the basic skills necessary to perform most data management tasks they are likely to encounter over the course of a research project intended for publication as a scholarly journal article.

Prerequisites: No previous experience with R is required, and a number of tutorial resources will be provided before the beginning of the course. However, participants are expected to have some very basic experience working with data using software such as R, Stata, SAS, SPSS or Excel. 

Instructor: Matt Denny

​Matt Denny is a PhD student in Political Science and Social Data Analytics at Penn State, NSF Big Data Social Science IGERT Fellow, and Data Scientist at Skopos Labs. He holds master’s degrees in Political Science and Resource Economics from UMass Amherst where he was a statistical methods consultant for ISSR from 2013-2015. He has taught a number of workshops on topics ranging from social network theory to big data analytics, and his research primarily focuses on developing statistical models for text, networks, and text-valued networks. You can check out more of his work at www.mjdenny.com.

Questions? For more information about this or any of the ISSR Summer Methodology Workshops, please contact ISSR Methodologist Jessica Pearlman (jpearlman@issr.umass.edu).


This workshop has reached capacity and has closed.  If you would like to be put on a waitlist, please contact Jessica Pearlman: (jpearlman@issr.umass.edu).

  • Five College Undergraduate and Graduate Students…………………………..$150/person
  • Five College Faculty………………………………………………………………..$250/person
  • Non-Five College Undergraduate and Graduate Students…………………………..$275/person
  • Non-Five College Faculty………………………………………………………………..$400/person

Registration note: The Five Colleges include: UMass Amherst, Amherst College, Hampshire College, Mount Holyoke College, and Smith College. Registration closes for each workshop 2 full business days prior to the start date. Payment of registration does not guarantee a spot in these space-limited workshops. ISSR will offer you the choice of placement on a wait-list or a refund for any workshops that are over-subscribed. If paying with departmental funds or personal checks, contact Karen Mason (mason@issr.umass.edu).

Cancellation note: In cases where enrollment is 5 or less, we reserve the right to cancel the workshop.  In cases where the registrant cancels prior to the workshop, a full refund will be given with two weeks notice, and 50% refund will be given with one week notice.  We will not be able to refund in cases where registrant does not notify us of cancellation at least one week prior to the beginning date of the workshop.