CSSCR Free Non-credit Courses

To sign up for our free courses, scroll to the bottom of this page!

Introduction to R (RStudio)

Instructor: Colin Beam
Date: Monday, April 7
Time: 12:00pm to 1:00pm
Place: Savery 117

This class will teach you how to get started with R using the free text editor Rstudio. The course will cover
the basic organization of R and Rstudio, whereto 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.

Formatting Your Thesis The Fun and Easy Way

Instructor: Dixielynn Gleason
Date: Tuesday, April 8
Time: 9:30am to 10:30am
Place: Savery 121

This lecture will help you format your thesis/dissertation (using Microsoft Word) to conform with the
UW Graduate School Style and Policy Guidelines for Theses and Dissertations.

Intro to Eviews

Instructor: Austin Gross
Date: Tuesday, April 8
Time: 4:00pm to 5:00pm
Place: Savery 121

EViews is a statistical package for time-series and econometric analysis. This hour, I'll introduce you to
the functions of loading and manipulating data, as well as running regressions.

R Graphics

Instructor: Stephanie Lee
Date: Friday, April 11
Time: 11:00am to 12:00pm
Place: Savery 121

This class provides an introduction to creating graphics in R. We will cover the popular traditional graphical
functions and learn how to modify them to produce useful and interesting visualizations.

Excel for Statistics

Instructor: Joe King
Date: Monday, April 14
Time: 4:00pm to 5:00pm
Place: Savery 121

Exploration of Excel for use in statistics, including recoding of variables, basic descriptive statistics, basic
plotting. Some previous use in spreadsheets is useful but not necessary.

Introduction to GIS

Instructor: Will Brown
Date: Tuesday, April 15
Time: 9:30am to 10:30am
Place: Savery 121

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 a widely used GIS software package, ArcGIS and freely available data sets.

Introduction to Qualitative Research using Atlas.ti

Instructor: Val Petrova
Date: Thursday, April 17
Time: 4:30pm to 5:30pm
Place: Savery 121

This class covers the criteria for choosing a qualitative data analysis software package and includes a hands-on
demo of one of those programs: Atlas.ti 7. We will go over terminology, importing documents, coding data (text and other
media types) and visual analysis. We will learn best practices for data management, how to backup and share your project
file and other tips for staying organized.

R as a Programming Language

Instructor: Joe King
Date: Monday, April 21
Time: 5:00pm to 6:00pm
Place: Savery 121

R is not only a statistical analysis program but a programming language. This seminar will explore some of the
basic foundations of programming including functions, if statements and loops. These will be tied into examples
of their use in statistics. Some knowledge of R is expected but no computer programming experience is needed.

Introduction to Stata

Instructor: Kristen Seibel
Date: Tuesday, April 22
Time: 1:00pm to 2:00pm
Place: Savery 121

Learn the basics of Stata so that you can understand do/log files, reading help files, and how to write code
to perform data cleaning and statistical analysis. No experience in statistical programming necessary.

Building Academic Websites with Wordpress

Instructor: Micah Aria Vacatio
Date: Friday, May 2
Time: 8:00am to 9:00am
Place: Savery 121

WordPress is a powerful tool that can be used for everything from writing blogs to creating state-of-the-art
professional websites. I'll show you how to set up a website without coding in HTML. We will go over some
examples of online resumes and CV. You will learn how to enter text, images, create pages, and create your own
domain.

Introduction to SPSS

Instructor: Shin Lee
Date: Friday, May 2
Time: 11:00am to 12:00pm
Place: Savery 121

This class introduces SPSS basic structure and layout. We will go over how to import, manage, and record data
as well as do some descriptive statistics and simple analyses like t-test, correlation, and regression. I'll
show you both GUI (drop-down menus) and Syntax usage of the SPSS package.

Using American Community Survey Estimates

Instructor: Tina Tian
Date: Friday, May 9
Time: 2:00pm to 3:15pm
Place: Savery 121

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. In
this class, we will explore some Excel-based templates containing several “calculators” that let users enter
the published ACS estimates and MOEs from the Census Bureau 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. We will also introduce the ACS Mapping
extension in ArcGIS, a tool that can map/visualize ACS estimates along with theirprecisions, e.g. MOEs, SEs
and Coefficient ofVariation (CVs), and the tests of statistical significance among the estimates.


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Quicktime Courses

Beginning Excel (107MB)
Beginning SPSS (127MB)
Beginning Stata (127MB)
Beginning Atlas/TI (194MB)
Intermediate SPSS (91MB)


 

PodCast Courses 

Beginning Excel (61.4 MB)
Beginning SPSS (78MB)
Beginning Stata (68MB)

 

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Last modified: September 25, 2013

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