Register for a Data Analytics Graduate Course

A hands-on data analytics course for structured data using SAS Enterprise Miner. Covers the skills that are required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association, and sequence analyses) and predictive modeling (decision tree, regression, and neural network models). Course includes defining a SAS Enterprise Miner project and explore data graphically, modifying data for better analysis results, building, and understanding predictive models such as decision trees and regression models, comparing and explaining complex models, generating, and using score code, applying association and sequence discovery to transaction data. Upon completion, students will have a set of practical data analytics skills and know how to apply these skills in a variety of business environment and with many types of structured data.

This course runs March 17–May 4, 2025.

A hands-on course emphasizing the importance of data visualization in understanding data. Designed for those who have never used data visualization software before, this course will utilize Microsoft Power BI to prepare students to create reports and dashboards at all levels of an organization. Students will learn exploratory and explanatory data analysis and learn how to ask the right questions about what is needed in a visualization. Students will assess how data and design work together and learn which visualization to use in various situations. Students will learn how to balance the goals of their stakeholders with the needs of their end-users and be able to structure and organize a digital story for maximum impact.

This course runs January 21–March 7, 2025.

This course provides students with an introduction to the SAS programming language. It is for students who want to learn how to write SAS programs to access, explore, prepare, and analyze data. The course will also cover some intermediate topics as time allows. Through a series of mini projects, students will gain a basic working knowledge of the SAS programming language.

This course runs January 21–May 4, 2025.

A hands-on data analytics course for structured data using SAS Enterprise Miner. Covers the skills that are required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association, and sequence analyses) and predictive modeling (decision tree, regression, and neural network models). Course includes defining a SAS Enterprise Miner project and explore data graphically, modifying data for better analysis results, building, and understanding predictive models such as decision trees and regression models, comparing and explaining complex models, generating, and using score code, applying association and sequence discovery to transaction data. Upon completion, students will have a set of practical data analytics skills and know how to apply these skills in a variety of business environment and with many types of structured data.

This course runs March 17–May 4, 2025.

A hands-on course emphasizing the importance of data visualization in understanding data. Designed for those who have never used data visualization software before, this course will utilize Microsoft Power BI to prepare students to create reports and dashboards at all levels of an organization. Students will learn exploratory and explanatory data analysis and learn how to ask the right questions about what is needed in a visualization. Students will assess how data and design work together and learn which visualization to use in various situations. Students will learn how to balance the goals of their stakeholders with the needs of their end-users and be able to structure and organize a digital story for maximum impact.

This course runs January 21–March 7, 2025.

This course provides students with an introduction to the SAS programming language. It is for students who want to learn how to write SAS programs to access, explore, prepare, and analyze data. The course will also cover some intermediate topics as time allows. Through a series of mini projects, students will gain a basic working knowledge of the SAS programming language.

This course runs January 21–May 4, 2025.