The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
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Training: R for Data Science: Part 2
October 23, 2015
The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
Training: R for Data Science: Part 1
October 16, 2015
The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
September 29, 2015
This workshop will offer a gentle introduction to the Python programming language and the popular NLTK (Natural Language Toolkit) package that includes useful tools for literary study.
Training: Basics of Drupal (3-part series)
October 5, 2015 to October 19, 2015
Drupal is a powerful, open-source content management system (CMS) that provides a flexible platform for websites and web-based research projects.
Training: Adobe Illustrator for Cartographers
October 26, 2015
This is a beginner tutorial for creating vector map illustrations in Adobe Illustrator.
Training: Intro to Data Visualization in ArcGIS
October 23, 2015
The goal of this lab is to understand basic concepts and functions of Geographic Information Systems (GIS) and produce geo-coded maps (displaying data) using ArcGIS.
Training: Working with US Census Data
October 21, 2015
This workshop will focus on becoming familiar with searching and downloading the data published by the US Census Bureau via Factfinder and Social Explorer.
November 2, 2015
While a doctoral degree from Cal is most helpful in securing a tenure-track position, the truth is that not everyone wants to go that route, and there aren’t enough positions for everyone who compl
Training: Introduction to Sampling
October 20, 2015
This workshop will cover the basic principles and methods of sampling. Topics will include a discussion of the various types of samples, the creation of sampling frames, the use of stratification
