Odum Institute

The purpose of this course is to present best practices for creating graphics from survey data and provide guidance for developing a critical eye that will allow attendees to best evaluate data visualizations for quality and accuracy. This short course will demonstrate how good data visualization can be used to explore relationships in survey data, and produce visual displays that enhance project reports and presentations. This is a 2-day course (2/8 & 2/10). Learn more and register.

This training will cover advanced features in building surveys in Qualtrics. Participants must already have a university Qualtrics account and solid working knowledge of Qualtrics. Some portions will be hands-on; others will be demonstration only. Topics will include some but not all of the following: adv features of survey flow, creating & using embedded data, loop & merge, survey authenticators, calculations, scoring, cond survey termination/screenouts, etc. Learn more and register.

The purpose of this course is to present best practices for creating graphics from survey data and provide guidance for developing a critical eye that will allow attendees to best evaluate data visualizations for quality and accuracy. This short course will demonstrate how good data visualization can be used to explore relationships in survey data, and produce visual displays that enhance project reports and presentations. This is a 2-day course (2/8 & 2/10). Learn more and register.

This course aims to offer an introduction to Python with a focus on data and data analytics. It will introduce basic Python programming logic, approaches to create, store, and interact with data, the building of data applications, and use of the Pandas library. With the skills learned here, you will be able to work with data in a Python environment and have the foundation to continue your education and further develop your skills. Therefore, this course is aimed at beginners.…

This three-day (2/21, 2/23 and 2/25) course introduces students to Stata and data management. It is tailored for beginners and researchers who want to learn how to manage data more effectively. Each day, the class will demonstrate how to use the commands, followed by hands-on exercises using sample datasets. Learn more and register.

Focus groups are commonly used to capture rich information about attitudes and beliefs. This class will prepare prospective students to organize and moderate focus groups. Students will learn the most appropriate uses of focus groups, how to segment and recruit audiences, how to develop a moderator’s guide, and how to moderate focus groups. The class will be supplemented with real-life examples and hands-on exercises. This is a 2-day (2/22 & 2/24) course. Learn more and register.

In the face of increasing awareness of the need to capture the diversity of human experience, there has also been increasing concern to study and describe populations from a critical and equitable perspective. As science is itself a cultural practice, and knowledge production can perpetuate social inequalities prevalent in social systems, many times, as scholars we may perpetuate inequity through our language use, methods, theories and findings. Learn more and register.

This three-day (2/21, 2/23 and 2/25) course introduces students to Stata and data management. It is tailored for beginners and researchers who want to learn how to manage data more effectively. Each day, the class will demonstrate how to use the commands, followed by hands-on exercises using sample datasets. Learn more and register.

Focus groups are commonly used to capture rich information about attitudes and beliefs. This class will prepare prospective students to organize and moderate focus groups. Students will learn the most appropriate uses of focus groups, how to segment and recruit audiences, how to develop a moderator’s guide, and how to moderate focus groups. The class will be supplemented with real-life examples and hands-on exercises. This is a 2-day (2/22 & 2/24) course. Learn more and register.

This three-day (2/21, 2/23 and 2/25) course introduces students to Stata and data management. It is tailored for beginners and researchers who want to learn how to manage data more effectively. Each day, the class will demonstrate how to use the commands, followed by hands-on exercises using sample datasets. Learn more and register.

This course will teach participants how to use the programming language Julia to load, clean, plot, and analyze social-science data. Julia is a newer programming language with a focus on high-performance scientific computing, and it allows efficient manipulation of large datasets. The course will cover the basics of loading tabular data; cleaning, filtering, and joining that data; calculating descriptive statistics; and estimating statistical models. Learn more and register.

This course provides training on evaluating public services and programs. At the end of the course, participants will understand and be able to describe program evaluation, and how it can help you understand the basics of assessing program impact. No prior experience is necessary. This course will not teach specific statistical or qualitative methods, but how to best determine which might be the best for measuring success as you have defined it. Learn more and register.

This course teaches students when and how to use logistic regression models. At the end of the course, students will be able to fit models, estimate and interpret results in terms of probabilities, odds, and logit coefficients using Stata. To achieve this end, students will learn to perform diagnostic tests: multicollinearity, discrimination, residuals, influential observations. Please see course requirements on the course website. Learn more and register.