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Spring 2020 Statistics GU4243 section 001
APPLIED DATA SCIENCE
Applied Data Science
|Day & Time
|Method of Instruction||Classroom|
|Course Description||Prerequisites: Pre-requisite for this course includes working knowledge in Statistics and Probability, data mining, statistical modeling and machine learning. Prior programming experience in R or Python is required.
This course will incorporate knowledge and skills covered in a statistical curriculum with topics and projects in data science. Programming will be covered using existing tools in R. Computing best practices will be taught using test-driven development, version control, and collaboration. Students finish the class with a portfolio of projects, and deeper understanding of several core statistical/machine-learning algorithms. Short project cycles throughout the semester provide students extensive hands-on experience with various data-driven applications.|
|Enrollment||14 students (25 max) as of 3:03PM Wednesday, February 19, 2020|
|Open To||Barnard College, Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies, Professional Studies|
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