Lectures: Wednesdays 6:10-8:55pm
Location: 313 Fayerweather
Labs: Mondays 6:10-7:25pm and 7:40-8:55 (pick one)
Location: 313 Fayerweather
Problem Sessions: Thursdays 7:45-9:15pm
Location: 313 Fayerweather
Office Hours: Tuesdays 4-5:30pm
Location: Statistics Department, 1255 Amsterdam Ave, School of Social Work Building, 10th floor
Contact Info:
Rachel Schutt: rrs2117@columbia.edu
Jared Lander: jpl2135@columbia.edu
Ben Reddy: reddy@stat.columbia.edu
This course is an introduction to the interdisciplinary and emerging
field of data science, which lies at the intersection of statistics,
computer science, data visualization and the social sciences. The
course will be organized around three central threads: (1) statistical
modeling and machine learning, (2) data pipelines, programming
languages and “big data” tools, and (3) real world topics and case
studies. Correspondingly there will be (1) core lectures, (2) labs and
(3) guest lectures from researchers and scientists who are experts
in their fields. Topics and tools will include logistic regression,
predictive modeling, clustering algorithms, decision trees, Hadoop,
data pipelines, visualization, data journalism, R, python.
Do you have this class ONLINE! I am very much interested.
No. Sorry!
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