|Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course.|
|INSH 5301 - Introduction to Computational Statistics|
Introduces the fundamental techniques of quantitative data analysis, ranging from foundational skills—such as data description and visualization, probability, and statistics—to the workhorse of data analysis and regression, to more advanced topics—such as machine learning and networks. Emphasizes real-world data and applications using the R statistical computing language. Analyzing and understanding complex data has become an essential component of numerous fields: business and economics, health and medicine, marketing, public policy, computer science, engineering, and many more. Offers students an opportunity to finish the course ready to apply a wide variety of analytic methods to data problems, present their results to nonexperts, and progress to more advanced course work delving into the many topics introduced here.
4.000 Credit hours
4.000 Lecture hours
Schedule Types: Seminar
Interdisc Studies - Soc Sc/Hum Department
GS Col Socl Sci & Humanities