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statistics new college of florida skip to main content skip to chatbot new college of florida visit apply give login explore ncf explore ncf close main menu why new college expand core curriculum individualized curriculum personalized career planning hands on learning comprehensive student support academics majors expand faculty biography index undergraduate majors master s in applied data science academic career services certificates the writing program study abroad exchange programs research at new academic calendars admissions aid expand first year students transfer students international students graduate students financial aid admitted students for counselors life at new college expand what to do dining services health well being safety conduct new college athletics visit apply give news events about resources socratic stage request information home undergraduate majors statistics statistics degree b a division natural sciences program options area of concentration joint concentration secondary field with the digital revolution the world is becoming increasingly more quantitative and the field of statistics has become essential in advancing our understanding of the natural political and social sciences as well as in medicine and public health statistics also constitutes a crucial part of decision making in industry business government and is at the heart of the emerging field of data science about the statistics area of concentration as a student studying statistics at new college you will develop statistical reasoning skills and apply them when analyzing and modeling data from many different sources you will learn about both classical and modern statistical techniques as well as the theoretical foundations underlying these methodologies at the same time you are going to obtain the necessary computational skills to work with data and implement these procedures finally you will learn how to communicate and report statistical results effectively while working on both individual and team projects throughout your classes featured course stan 3275 linear models this course will predominantly focus on numerous practical and theoretical aspects of linear models their extensions e g polynomial regression interactions and generalized linear models e g logistic and poisson regression linear models constitute one of the most ubiquitous tools in dealing with data presenting a crucial component for a statistician s skill set on top of covering all the main practical underpinnings of linear models this course will emphasize developing students quantitative maturity via deriving mathematical properties and being able to formulate modeling equations for various statistical models finally the course will be consistently accompanied by coding practices in r statistical software including some in class coding labs statistics curriculum recent courses applied time series analysis dealing with data i dealing with data ii introduction to statistics linear models r for data science statistical learning statistics for economics and the social sciences career pathways data scientist government health and medical research finance insurance contact us natural sciences division phone number 941 487 4370 email address email protected location heiser natural sciences complex 172c faculty in statistics melissa crow instructor of statistics email email protected phone 941 487 4170 office heiser e158 mail heiser e172c departments natural sciences division programs statistics view full profile bernhard klingenberg director of applied data science professor of statistics email email protected phone 941 487 4172 office heiser e160 mail heiser e172c departments applied data science graduate program natural sciences division programs statistics view full profile andrey skripnikov associate professor of applied statistics aoc coordinator main point of contact email email protected phone 941 487 4515 office heiser e156 mail heiser e172c departments natural sciences division applied data science graduate program programs data science statistics view full profile toby wade ph d assistant professor of data science and statistics email email protected phone 941 487 4173 office hns e152 mail hns e152 departments natural sciences division applied data science graduate program view full profile new college of florida facebook linkedin twitter youtube 5800 bay shore road sarasota fl 34243 941 487 5000 campus map directory department directory media contacts resources careers jane bancroft cook library foundation textbook orders ncf store public notices myncf emergency procedures report a problem accessibility privacy policy copyright site map facebook linkedin twitter youtube 2026 new college of florida all rights reserved