This 4-day, 2-part short course will provide an overview of statistical machine learning and data mining techniques with applications to the analysis of real data. Supervised learning techniques will be covered, including penalized regression such as LASSO and its variants, support vector machines. The main emphasis will be on the analysis of real data sets... Read more »
Integrated mixed methods are used to answer questions that necessitate more than one method to achieve a holistic understanding. Combining qualitative and quantitative approaches can enhance conversations about theory, practice, and/or policy. This demanding paradigm requires knowledge, skill, and expertise in quantitative and qualitative methods, as well as the art of intentionally integrating the approaches... Read more »
This 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. This class will cover 3 afternoons (9/26, 9/28 and 9/30). Learn... Read more »
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 allows efficient manipulation of large datasets. The course will cover the basics of loading tabular data; cleaning, filtering and joining that... Read more »
Integrated mixed methods are used to answer questions that necessitate more than one method to achieve a holistic understanding. Combining qualitative and quantitative approaches can enhance conversations about theory, practice, and/or policy. This demanding paradigm requires knowledge, skill, and expertise in quantitative and qualitative methods, as well as the art of intentionally integrating the approaches... Read more »
This 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. This class will cover 3 afternoons (9/26, 9/28 and 9/30). Learn... Read more »
Integrated mixed methods are used to answer questions that necessitate more than one method to achieve a holistic understanding. Combining qualitative and quantitative approaches can enhance conversations about theory, practice, and/or policy. This demanding paradigm requires knowledge, skill, and expertise in quantitative and qualitative methods, as well as the art of intentionally integrating the approaches... Read more »
This 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. This class will cover 3 afternoons (9/26, 9/28 and 9/30). Learn... Read more »
This 4-day, 2-part short course will provide an overview of statistical machine learning and data mining techniques with applications to the analysis of real data. Supervised learning techniques will be covered, including penalized regression such as LASSO and its variants, support vector machines. The main emphasis will be on the analysis of real data sets... Read more »
This 4-day, 2-part short course will provide an overview of statistical machine learning and data mining techniques with applications to the analysis of real data. Supervised learning techniques will be covered, including penalized regression such as LASSO and its variants, support vector machines. The main emphasis will be on the analysis of real data sets... Read more »
This workshop will introduce the advanced data visualization capabilities in R and to the concepts of the grammar of graphics. We will demonstrate how to access ggplot2 using a graphical user interface library in R as well as an R shiny app. These environments provide the user a “point and click” interface for accessing the... Read more »
This in-person course will be offered over 3 afternoons (10/17/22, 10/19/22, and 10/21/22), 2 hours per day. This course introduces Structural equation modeling (SEM) with Stata software. The class will... Read more »
This in-person course will be offered over 3 afternoons (10/17/22, 10/19/22, and 10/21/22), 2 hours per day. This course introduces Structural equation modeling (SEM) with Stata software. The class will focus on models for continuous variables and discuss options to analyze models with categorical variables. Students must know how to model and interpret correlations and... Read more »
This in-person course will be offered over 3 afternoons (10/17/22, 10/19/22, and 10/21/22), 2 hours per day. This course introduces Structural equation modeling (SEM) with Stata software. The class will focus on models for continuous variables and discuss options to analyze models with categorical variables. Students must know how to model and interpret correlations and... Read more »
This course will provide an introduction to descriptive and inferential network analysis. In the morning we will cover descriptive network analysis. We will cover both empirical analysis and network simulation using statistical network models. Real-world network data and R code will be presented through interactive workshop sessions in both the morning and afternoon. There are... Read more »
