Center for Studies in Demography and Ecology

CSSCR Workshops: R, Python, GIS and More

Posted: 1/7/2019 (Local Events)

Short Workshop Offerings Winter Quarter 2019

(listed in order of scheduled appearance)

Introduction to R using Rstudio

Description:
This class will teach you how to get started with R using the free integrated development environment called Rstudio. The workshop 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: Friday, January 18, 2019
Time: 9:00am- 10:00am
Place: Savery 121

Introduction to Python

Description:
This class will provide you the basics of PYTHON for both gathering data from public sources and providing analyses.

Instructor: Mike Babb, CSSCR Consultant
Date: Tuesday, January 22, 2019
Time: 12:30pm – 1:30pm
Place: Savery 117

Introduction to GIS/ArcGIS

Description:
This workshop 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: Aya Masilela, CSSCR Consultant
Date: Wednesday, January 23, 2019
Time: 3:30pm – 4:30pm
Place: Savery 117

Introduction to R using Rstudio

Description:
This class will teach you how to get started with R using the free integrated development environment called Rstudio. The workshop 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: Jasmine Jiang, CSSCR Consultant
Date: Thursday, January 24, 2019
Time: 2:30pm- 3:30pm
Place: Savery 121

 

Introduction to SPSS

Description:
This workshop introduces the SPSS statistical package including reading in datafiles as well as basic data management and introductory statistical procedures. Additional topics include computing and recoding variables and selecting and filtering cases.

Instructor: Galen Kerrick, CSSCR Consultant
Date: Friday, January 25, 2019
Time: 9:30am – 10:30am
Place: Savery 117

 

Introduction to STATA

Description:
This workshop will introduce you to the basic Stata statistical package including reading in STATA datasets, basic data manipulation in Stata, and common statistical procedures.

Instructor: Anwesha Pan, CSSCR Consultant
Date: Wednesday, January 30, 2019
Time: 3:30pm – 4:30pm
Place: Savery 121

Introduction to Qualitative Research and ATLAS.ti

Description:
This workshop provides a brief, practical introduction to working in ATLAS.ti, covering basic terminology and functionality of the program. This will include importing text documents, coding and annotating documents, and exploring relationships through analysis and query tools. Time permitting, we may also briefly discuss best practices for data management. The workshop assumes no prior use of Atlas-ti.

Instructor: Riddhi Mehta-Neugebauer, CSSCR Consultant
Date: Monday, January 28, 2019
Time: 12:30pm – 1:30pm
Place: Savery 121

Data Wrangling in R

Description:

This workshop will cover some of R’s useful tools for data management and exploration. Most of class will be devoted to learning Hadley Wickham’s excellent “tidyr” and “dplyr” packages. Attendees are assumed to have basic familiarity with R/Rstudio.

Instructor: Yuan Hsiao, CSSCR Consultant
Date: Tuesday,  February 5, 2019
Time: 3:30pm – 4:30pm
Place: Savery 121

 

Intermediate SPSS

Description:
This workshops builds from CSSCR’s introductory SPSS workshops and includes additional data management topics as well as more statistical procedures.

Instructor: Gabbs Gorsky, CSSCR Consultant
Date: Tuesday, February 5, 2019
Time: 12:30pm –
1:30pm
Place:  Savery 117

 

Register for any of the above workshops follow this link.

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Location: The Center for Social Science Computation and Research (CSSCR)