Spring 2024 Statistics GU4243 section 001

APPLIED DATA SCIENCE

Call Number 13637
Day & Time
Location
F 6:10pm-8:40pm
203 Mathematics Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Haiyuan Wang
Type LECTURE
Method of Instruction In-Person
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 11 students (22 max) as of 6:06PM Monday, December 2, 2024
Subject Statistics
Number GU4243
Section 001
Division Interfaculty
Open To Barnard College, Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies, Professional Studies
Section key 20241STAT4243W001