Social Data Analytics Workshops 2021

Co-sponsored by

NEAAPOR - New England Chapter - American Association for Public Opinion Research


Upcoming Virtual Workshop Schedule

Thomas Craemer

Survey Analysis with R

With Dr. Thomas Craemer, UConn Department of Public Policy

June 18 & June 21, 2021
4:00 PM – 6:30 PM
Live virtual session

About the Program

Students will manage a data set, define missing values, and create new variables. Participants will also run frequency tables, crosstabs, conduct chi-square-tests, and build scales assessing Cronbach’s alpha. Further, we will compare means using t-tests and Analysis of Variance (ANOVA). Interested students may also obtain instructional material on how to specify OLS regression models for continuous dependent variables, and/or how to specify logit models for categorical dependent variables (dichotomous logit, ordered logit, and multinomial logit).

Jake Soffronoff

An Introduction To Data Visualization

With Jake Soffronoff, MPA, MASR ‘11, Survey Statistician & Methodologist, USPS OIG and YouGov

July 16 & July 19, 2021
4:30 PM – 7:00 PM
Live virtual session

About the Program

The course will begin by exploring why understanding the fundamentals of data visualization is vital for both data consumers and creators alike in our increasingly-graphical world. Students will learn how to identify the strengths and weaknesses of the data visualizations they encounter in order to better process what is being presented to them at work and through the media. They will be introduced to the narrative-centered process of deciding which data visualization approaches to choose for different kinds of data, including when to employ common data visualizations like data tables, graphs, maps, and animations, and when to, instead, simply use written text. As the course proceeds, students will also learn some basic visualization skills through hands-on exercises from within commonly available software packages like Power BI and R.

Christopher Brechlin

Web-based Data Extraction Methods

With Christopher Brechlin, MPP '18, Director of Data & Digital Systems at COMPASS Youth Collaborative

August 13 & August 16, 2021
4:00 PM – 6:30 PM
Live virtual session

About the Program

Participants will learn web-based data extraction method terms and concepts such as Application Programming Interface (API), and Extract Transform Load (ETL) as well as, understand the various data types that are found online. Students will explore the different methods by which data can be downloaded from a variety of sources and the processes for cleaning or “scrubbing” data from the web. Participants will also practice extracting and cleaning data from the web and review common troubleshooting strategies.


Program Costs

General Public:

$50

NEAAPOR Member fee (FREE for first 15 member registrations):

$30

Non-UConn DPP Student fee:

$30

DPP Alumni fee:

$30

Current UConn DPP students:

Free

For more information or questions, please contact Maura Maloney at maura.maloney@uconn.edu or 959-200-3817.