Participants in this workshop will learn about some of the issues surrounding the collection of health statistics, and will also learn about authoritative sources of health statistics and data. We will look at tools that let you create custom tables of vital statistics (birth, death, etc.), disease statistics, health behavior statistics, and more.
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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.
Workshop: Finding Health Statistics
October 15, 2015
Author:
Michael Sholinbeck
Workshop: Visualization in Python
October 14, 2015
Author:
Juan Shishido
Python has several visualization libraries that offer various plot types and customization options. Some are focused on general plotting, while others are built for specific purposes, such as statistical data visualization. In this workshop, we'll cover both Matplotlib and Seaborn.
Workshop: Programming FUN!damentals
October 14, 2015
Author:
Andrew Chong
An intro to the basics that instructors often assume you know, but that you probably never had good instruction on! After this course, you should be able to more easily start learning to program (e.g., in R or python), follow instructions and documentation online (e.g.
Workshop: Georeferencing with QGIS
October 13, 2015
Author:
Susan Powell
In this workshop we will learn about the basic concepts involved in georeferencing and get some hands-on experience with the process in QGIS, a free, open-source GIS tool. Georeferencing involves “spatializing” scanned maps or aerial imagery so that they can be used in a GIS. We will cover the basics of topics such as projections, coordinate systems, and the theory behind georeferencing.
October 9, 2015
Author:
Zawadi Rucks-Ahidiana
Coding is done, now what? You’ve finished coding your qualitative data and now it’s time to start the “analysis” process. Where do you start? Through this interactive workshop session, qualitative researchers will learn several approaches to transition from coding to analysis. Researchers in all phases of the qualitative research process are welcome to attend.
Workshop: Data Analysis in Stata
October 9, 2015
Author:
Chris Kennedy
This is the second workshop in a 3-part Stata series offered at the D-Lab that includes: 1) Intro to Stata, 2) Data Analysis in Stata and 3) Stata Programming.
Workshop: R for Data Science: Part 4
October 8, 2015
Author:
Andrew Bertoli
Day 4 (functions and packages)
Workshop: Georeferencing with ArcGIS
October 6, 2015
Author:
Susan Powell
In this workshop we will learn about the basic concepts involved in georeferencing and get some hands-on experience with the process in ArcGIS, a common GIS software platform. Georeferencing involves “spatializing” scanned maps or aerial imagery so that they can be used in a GIS. We will cover the basics of topics such as projections, coordinate systems, and the theory behind georeferencing.
Workshop: Basics of Drupal (3-part series)
October 5, 2015 to October 19, 2015
Author:
Stephanie Moore
Drupal is a powerful, open-source content management system (CMS) that provides a flexible platform for websites and web-based research projects. This workshop will cover the basics of how Drupal works, covering essential site building topics such as fields, content types, users, menus, blocks taxonomies, and views. The material covered in the workshop can be applied to administrative (e.g.
October 2, 2015
Author:
David Drukker
Writing a Stata command for methods that you use or develop can broaden dissemination of your research. Stata’s Director of Econometrics David Drukker will lead this one-day course that shows how to write a Stata estimation command.No Stata or Mata programming experience is required, but it does help.
Workshop: R for Data Science: Part 3
October 1, 2015
Author:
Dillon Niederhut
Day 3 (analyzing data)
Students will be introduced to the principles behind the grammar of graphics and the general linear model. Students will understand the implementation of plotting in R. Students will be able to explore, summarize, and analyze data using R's implementation of exploratory and inferential data analysis.
Workshop: Civil Maps - AI Based Mapping
October 1, 2015
Author:
Dav Clark
Dav Clark invites you to join his Hacking Measurement seminar for a presentation by the global tech company Civil Maps on their 3D mapping technology.
Workshop: Introduction to pandas
September 30, 2015
Author:
Juan Shishido
"pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive." It enables "doing practical, real world data analysis in Python."
September 29, 2015
Author:
Teddy Roland
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. Together we will explore tools that Prof.
Workshop: Introduction to Python
September 25, 2015
Author:
Kunal Marwaha
This workshop is a beginner's introduction to the basics of programming and data analysis with Python. You will learn the fundamentals (variables, loops, lists, functions) and practice with sample data files.
Workshop: Qualitative Data Analysis with Atlas.TI
September 25, 2015
Author:
Zawadi Rucks-Ahidiana
This workshop covers how to organize and analyze qualitative data in Atlas.TI. Both researchers new to qualitative methods and experienced qualitative researchers are encouraged to attend.
Workshop: Introduction to Stata
September 25, 2015
Author:
Chris Kennedy
This is the first workshop in a 3-part Stata series offered at the D-Lab that includes: 1) Intro to Stata, 2) Data Analysis in Stata and 3) Stata Programming.
Workshop: R for Data Science: Part 2
September 24, 2015
Author:
Shinhye Choi
Day 2 (clean and tidy data)
September 23, 2015
This two-hour workshop will introduce address geocoding - the process of determining the geographic location of a street address. The first part of this workshop will be an introduction to the process of geocoding and the various online and desktop tools available for geocoding.
Workshop: Web-mapping for Public Health
September 22, 2015
Author:
Josh Pepper
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.
