CSSCR Courses



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Winter 2017

Introduction to R with RStudio

Description:

This class will teach you how to get started with R using the free integrated development environment called Rstudio. The course will cover the basic organization of R and RStudio, where to find good help references, and how to begin a basic analysis. This class is ideal for users who have little or no experience with R.


Instructor: Yunkang Yang, CSSCR Consultant
Date: Wednesday, 15 Feb 2017
Time: 11:00am - 11:50am Place: Savery 121
Register here.

Introduction to R with RStudio

Description:

This class will teach you how to get started with R using the free integrated development environment called RStudio. The course will cover the basic organization of R and Rstudio, where to find good help references, and how to begin a basic analysis. This class is ideal for users who have little or no experience with R.


Instructor: Nathan Abe, CSSCR Consultant
Date: Thursday, 16 Feb 2017
Time: 1:30pm - 2:20pm Place: Savery 121
Register here.

Introduction to GIS

Description:

This course will provide students with a broad overview of what geographic information systems (GISs) are and how social scientists can benefit from using them in their research. Students will explore basic GIS concepts through hands-on exercises using ArcGIS, a widely used GIS software package, as well as freely available data sets.


Instructor: Will Brown, CSSCR Consultant
Date: Friday, 17 Feb 2017
Time: 9:00am-9:50am Place: Savery 121
Register here.

Introduction to SAS

Description:

This introductory class will cover basic features and some data cleaning and recoding of variables in SAS. The topics include: an overview of the SAS system; how to read/enter data, modify, explore and manage data; and some basic data recoding and variable creation.


Instructor: Nikki Gurley, CSSCR Consultant
Date: Friday, 17 Feb, 2017
Time: 12:30pm - 1:20pm Place: Savery 121
Register here.

Handling Datasets in SPSS

Description:

This courses introduces techniques for reading, navigating, merging, and manipulating datasets in SPSS. Additional topics include computing and recoding variables, selecting and filtering cases, and reshaping data.


Instructor: Gabby Gorsky, CSSCR Consultant
Date: Tuesday, 21 Feb 2017
Time: 11:00am - 11:50am
Place: Savery 121
Register here.

Data Wrangling in Stata

Description:

This course will introduce you to data manipulation in Stata, including merging, reshaping, and recoding your data. It will also teach you how to generate and/or replace variables by group.


Instructor: Laine Rutledge, CSSCR Consultant
Date: Tuesday, 21 Feb 2017
Time: 1:30pm - 2:20pm
Place: Savery 121
Register here.

Using the American Community Survey (ACS) Estimates

Description:

The Census Bureau’s American Community Survey (ACS) is a great source for detailed population and household characteristics, giving estimates and margins of error (MOE) for many aspects of the American population. However, sometimes users must blend ACS results in order to arrive at the exact measure needed. In this class we will explore some Excel-based templates containing several “calculators” that let users enter the published ACS estimates and MOEs to assess the precision of individual estimates, to compare pairs of estimates for their statistical differences and to calculate the MOEs and Standard Errors (SEs) for summing/subtracting, proportion and ratios of estimates. A variety of means for accessing ACS data will be also introduced.


Instructor: Tina Tian, CSSCR Data Specialist
Date: Wed 22 Feb 2017
Time: 10:30am - 11:20am Place: Savery 121
Register here.

Introduction to Interactive Graphics in R

Description:

R and RStudio offer increasing opportunities to develop useful interactive graphics tools for data exploration and analysis. Interactive graphics can help communicate interesting patterns in data to a general audience, or even simply facilitate efficient preliminary exploration of data prior to starting structured causal analysis or hypothesis testing. This course will provide a brief introduction to two of the most popular packages for developing interactive graphics in R: plotly and shiny. Basic familiarity with R and R graphics (particularly ggplot) recommended.


Instructor: Carolina Johnson, CSSCR Consultant
Date: Thursday, 23 Feb 2017
Time: 3:00pm - 3:50pm Place: Savery 117
Register here.

Discussion: Online data collection with Qualtrics

Description:

Qualtrics a powerful tool for creating web-based surveys. This workshop will cover quick creation and distribution of a basic survey in Qualtrics. It will also cover features that allow for custom randomization designs and question construction. No prior experience is assumed for attendees. However, experienced Qualtrics users are also encouraged to attend with questions that we can discuss together.


Instructor: Colin Beam, CSSCR Consultant
Date: Thursday, 23 Feb 2017
Time: 4:00pm - 5:30pm Place: Savery 110
Register here.

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