This workshop will introduce students to the basics of designing a survey instrument using the Qualtrics platform, such as randomization and survey flow. We will also cover more advanced topics like implementing embedded data and using javascript, as well as tips and tricks on how to use your design to maximize the number of quality responses you get.
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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: Introduction to Qualtrics
March 15, 2019
Author:
Sean Freeder
March 15, 2019
Author:
Chris Kennedy, Evan Muzzall
Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data.
Workshop: Geospatial Data in R: Part 2
March 14, 2019
Author:
Drew Hart
Geospatial data are an important component of social science and humanities data visualization and analysis. The R programming language is a great platform for exploring these data and integrating them into a research project.
Geospatial Data in R, part 2: Geoprocessing and analysis
March 13, 2019
Author:
Evan Muzzall, Chris Kennedy
Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data.
Workshop: QMG Presents: Dr. Marla Stuart on Machine Learning with R Using Qualitative Research Codes
March 13, 2019
Author:
Dr. Marla Stuart
Join Dr. Marla Stuart, a BIDS Data Science Fellow, to discuss using R for machine learning with qualitative research codes. See the process and results, learning how these are different from a purely qualitative thematic analysis. There will be abundant time for conversation with the presenter.
Workshop: Python Fundamentals: Part 2
March 13, 2019
Author:
Samy Abdel-Ghaffar
Part 2 Topics:
Workshop: Weighting Data
March 12, 2019
Author:
Thomas L. Piazza
This workshop will cover the main types of weighting, to correct for bias in sample data.
Workshop: Geospatial Data in R: Part 1
March 12, 2019
Author:
Drew Hart
Geospatial data are an important component of social science and humanities data visualization and analysis. The R programming language is a great platform for exploring these data and integrating them into your research.
Geospatial Data in R, part I: Getting started with spatial data objects
Workshop: Finding Health Statistics and Data
March 11, 2019
Author:
Michael Sholinbeck
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. The focus will be on U.S.
Workshop: Python Fundamentals: Part 1
March 11, 2019
Author:
Samy Abdel-Ghaffar
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.
Part 1 Topics:
Workshop: Basics of Excel: Part 3
March 8, 2019
Author:
Max Sgro
Visualization in Excel: In Visualization in Excel, we will cover the fundamentals of visualization in Excel, including a checklist of considerations that should go into every visualization. We will also go through step by step instructions on how to make horizontal bar charts, slope graphs, butterfly charts, the good kind of pie charts, icon arrays, and how to graph confidence intervals.
Workshop: ArcGIS Online: Part 2
March 7, 2019
Author:
Patty Frontiera
This 2-part workshop will introduce ESRI's ArcGIS Online (AGOL), a web based platform for creating online maps, processing geospatial data and doing spatial analysis. Part 2 will focus on ways to share geospatial data hosted on AGOL using ESRI Story Maps, Operations Dashboards, and custom programming.
March 7, 2019
Author:
Rachael Samberg
This training will help you navigate the copyright, fair use, and usage rights of including third-party content in your digital project.
Workshop: Sociology 146 AC
March 7, 2019
Author:
Jon Stiles
Workshop: Basics of Excel: Part 2
March 6, 2019
Author:
Max Sgro
This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.
Topics Covered Will Include:
Workshop: R Fundamentals: Part 4
March 6, 2019
Author:
Evan Muzzall
R Fundamentals Part 4: Putting it all together
In the final part, we will review data importation, subsetting, and visualization. Students will then be given the majority of time to reproduce a workflow on two different datasets, ask questions, and review the solutions as a group.
Workshop: ArcGIS Online: Part 1
March 5, 2019
Author:
Patty Frontiera
This 2-part workshop will introduce ESRI's ArcGIS Online (AGOL), a web based platform for creating online maps, processing geospatial data and doing spatial analysis. Part 1 will provde a hands-on overview of uploading data to AGOL, creating web maps, and symbolizing mapped data by attribute values. Part I will also introduce the tools for geoprocessing and spatial analysis.
Workshop: D-Lab Data & Tech for All Open House
March 5, 2019
Please join the D-Lab for an Open House celebrating Data & Tech for All Week. D-Lab welcomes all members of the campus community to join us from 12-1pm for a light lunch and short presentation on D-Lab instructional support services and how these embody our community philosophy of IOKN2K: it's ok not to know.
Workshop: Machine Learning in Python
March 5, 2019
Author:
Samy Abdel-Ghaffar
This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets.
Workshop: Basics of Excel: Part 1
March 4, 2019
Author:
Max Sgro
This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.
Topics Covered Will Include:
