Introduces the fundamental concepts of probability statistical inference and statistical computing necessary for a working knowledge of applied statistics. The emphasis is on data analysis and visualization instead of theory. Prior experience with either statistics or computer programming is not necessary. The course material is taught via an active learning approach with in-class lab exercises specially developed to teach applied statistics with R. Harvard Extension School students may count one of the following courses toward a degree or certificate but not more than one https//extension.harvard.edu/academics/courses/sections/MGMT/104MGMT E-104 https//summer.harvard.edu/academics/courses/STAT/100STAT S-100 STAT E-101 (offered previously) https//extension.harvard.edu/academics/courses/sections/STAT/102STAT E-102 or https//extension.harvard.edu/academics/courses/sections/STAT/104STAT E-104.
Harvard Division of Continuing Education
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