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STAT GU4243 Applied Data Science. 3 points.

CC/GS: Partial Fulfillment of Science Requirement

Prerequisites: STAT GU4206 or the equivalent.

This course will incorporate knowledge and skills covered in a statistical curriculum with topics and projects in data science. Programming will 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 on GitHub, and deeper understanding of several core statistical/machine-learning algorithms. Bi-weekly project cycles throughout the semester provide students extensive hands-on experience with various data-driven applications.

Spring 2018: STAT GU4243
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 4243 001/29194 M W 2:40pm - 3:55pm
603 Hamilton Hall
Cynthia Rush 3 35/50
Fall 2018: STAT GU4243
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 4243 001/17833 W 6:10pm - 8:55pm
Room TBA
Ying Liu 3 15/15

Statistics

http://bulletin.columbia.edu/general-studies/undergraduates/majors-concentrations/statistics/

The Statistics Department Office: 1005 School of Social Work (1255 Amsterdam Avenue); 212-851-2132 http://www.stat.columbia.edu

Statistics

http://bulletin.columbia.edu/barnard-college/courses-instruction/statistics/

...Machine Learning), and also the advanced elective STAT GU4243 (Applied Data Science). Undergraduate students without...

Statistics

http://bulletin.columbia.edu/columbia-college/departments-instruction/statistics/

...Machine Learning), and also the advanced elective STAT GU4243 (Applied Data Science). Undergraduate students without...