This course will provide students with fundamental principles of and practical experience in presenting data in a visual form for communication and analysis.
This course is an introduction to programming in the R statistical language. R is a flexible, open-source statistics platform which has gained broad adoption in a variety of fields.
This course is an introduction to programming in the R statistical language. R is a flexible, open-source statistics platform which has gained broad adoption in a variety of fields.
This course is designed to familiarize students with core skills in data access, manipulation, analysis, and presentation using Excel (and Excel-like alternatives).
This course will provide students with fundamental principles of and practical experience in presenting data in a visual form for communication and analysis.
This course is an introduction to programming and working in STATA, a core statistical program in the social sciences. In a variety of fields, STATA remains the baseline program for analysis, data management, and visualization.
This course will provide students with fundamental principles of and practical experience in presenting data in a visual form for communication and analysis.
Communicating through visual presentation of data is a critical skill in a variety of industries. This course will introduce students to data visualization, from principles to practice.
This course is designed to familiarize students with core skills in data access, manipulation, analysis, and presentation using Excel (and Excel-like alternatives).
This 4-credit course will provide an introduction to the fundamentals of evaluation research design and methods as applied to public policies and programs.
This course will provide students with fundamental principles of and practical experience in presenting data in a visual form for communication and analysis.
This course is an introduction to programming in the R statistical language. R is a flexible, open-source statistics platform which has gained broad adoption in a variety of fields.
Communicating through visual presentation of data is a critical skill in a variety of industries. This course will introduce students to data visualization, from principles to practice.
This class will meet in person on:
January 19
January 24
January 26
January 28 - Lab (10:00-11:50am, 3117 Weill Hall)
January 31
February 2
February 4 - Lab (10:00-11:50am, 3117 Weill Hall)
This course serves as an introduction to qualitative methods. While we will examine a range of qualitative methodological approaches, the course's core focus will be on the case study method, with special emphasis on observational and intervi