Come learn how to build a map with your public health data! We’ll discus the basics of spatial data and talk about useful places to find health data. I’ll show examples of how simple (and complex) maps can improve your health-related research, advocacy and communication. Then we’ll spend the bulk of our time creating an example map together.

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This is an archive of our past training offerings. We are looking to include workshops on topics not yet covered here. Is there something not currently on the list? Send us a proposal.

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, analyzing, and publishing data in R.

**Day 2 (clean and tidy data)**

This introduction will discuss what data the Census collects, how it can be accessed and used, what the content and geographic coverage of the surveys are, and issues or concerns to think about when considering such data for your research needs.

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, analyzing, and publishing data in R.

**Day 1 (basics of R)**

This workshop will provide an overview of resources on campus for getting started with geographic data, spatial analysis and mapping. Nancy Thomas will introduce the Geospatial Innovation Facility (GIF) and discuss the GIF workshop program and the GeoLunch speaker series.

This INTENSIVE offers an introduction to a range of Text Analysis approaches, including dictionary methods, classification and machine learning, TF-IDF, clustering, and topic modeling. Tutorials are performed in R with RStudio.

Day 1: Introduction to text analysis approaches. What is automated text analysis? What questions can we ask and answer using these approaches?

The R for Data Science workshop series is a four part course, designed for novices in the R language. Day 4 (functions and packages) Students will be introduced to the principles behind functional programming.

The R for Data Science workshop series is a four part course, designed for novices in R.n Day 3 (analyzing data). Students will be able to explore, summarize, and analyze data using R's implementation of exploratory and inferential data analysis.

This is a 2-day intensive presentation of the D-Lab’s Introductory Stata workshop series. It will cover the following materials.

Part I: Introduction

The following qualitative data analysis workshop is being offered as part of an intensive series. Workshop attendees are welcome to pick and choose which sessions best fit their qualitative data analysis needs. If, for example, you already know you are interested in working with Atlas.TI or NVivo, please attend the Atlas.TI or NVivo sessions and skip the Introduction to Qualitative Data Analy

The R for Data Science workshop series is a four part course, designed for novices in the R language. Day 2 (clean and tidy data). Students will be introduced to the best practices for sanitizing and tidying data.

The following qualitative data analysis workshop is being offered as part of an intensive series. Workshop attendees are welcome to pick and choose which sessions best fit their qualitative data analysis needs. If, for example, you already know you are interested in working with Atlas.TI or NVivo, please attend the Atlas.TI or NVivo sessions and skip the Introduction to Qualitative Data Analy

The R for Data Science workshop series is a four part course, designed for novices in R. Day 1 (basics of R). Students will understand the motivation behind object orientation, and how that relates to computation. Students will be able to perform basic functions in R necessary to use the software on their computers and conduct basic arithmetic.

The following qualitative data analysis workshop is being offered as part of an intensive series. Workshop attendees are welcome to pick and choose which sessions best fit their qualitative data analysis needs. If, for example, you already know you are interested in working with Atlas.TI or NVivo, please attend the Atlas.TI or NVivo sessions and skip the Introduction to Qualitative Data Analy

This workshop will introduce geocoding - the process of determining the geographic coordinates for place names, zip codes or addresses. The first part of this workshop will be an introduction to the process of geocoding and strategies for achieving good results. This process will be demonstrated using the R **ggmap** package, which calls the Google Geocoding service.

Wordpress is an easy-to-use and powerful web hosting platform. Its "famous" 5-minute installation procedure really can be done in 5 minutes, and installing an attractive theme and uploading simple content doesn't take much longer. Once that's done, the possibilities are endless; we'll look at some of the plug-ins that can help you display and publicize your research data.

This workshop will introduce the fundamentals of grant proposal writing. The presentation will provide an overview of the process of developing an NIH Research Grant (R series), though other grant mechanisms will be mentioned as well. In addition, the workshop will also introduce the grant submission process and grant review. No previous knowledge is assumed.

**This is a two-day workshop!**

This workshop will be a dive into programming and data analysis in Python. We will cover functions, modules, plotting, and regression, and review the basic tools of Python. By the end, you will have some practice with Python and other resources to further your research.