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STAT GU4243 Applied Data Science. 3 points.

CC/GS: Partial Fulfillment of Science Requirement

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.

Spring 2019: STAT GU4243
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 4243 001/27067 W 6:10pm - 8:55pm
313 Fayerweather
Ying Liu 3 17/25
STAT 4243 002/27699 Th 1:10pm - 3:40pm
Ren Kraft Center
David Shilane 3 27/50
Fall 2019: STAT GU4243
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 4243 001/48454 W 6:10pm - 8:55pm
Room TBA
Ying Liu 3 25/25
STAT 4243 002/48517 Th 1:10pm - 3:30pm
Room TBA
Tian Zheng 3 25/25

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...