Directory of Classes
NOTE: Course information changes frequently. Please re-visit these pages periodically for the most recent and up-to-date information.

Spring 2020 Statistics GU4243 section 001
APPLIED DATA SCIENCE
Applied Data Science

Call Number 46686
Day & Time
Location
W 6:10pm-8:55pm
310 Fayerweather
Points 3
Grading Mode Standard
Approvals Required None
Instructor Ying Liu
Type LECTURE
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.
Web Site Vergil
Department Statistics
Enrollment 14 students (25 max) as of 3:03PM Wednesday, February 19, 2020
Subject Statistics
Number GU4243
Section 001
Division Interfaculty
Open To Barnard College, Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies, Professional Studies
Campus Morningside
Section key 20201STAT4243W001

Home      About This Directory      Online Bulletins      ColumbiaWeb      SSOL
SIS update 02/19/20 15:03    web update 02/19/20 18:19