№ lp_1_2_16220
The document outlines a syllabus for a course on applied data analysis, detailing the topics covered, the structure of the course, assignments, and assessments.
Year: 2023
Region / city: Emory University, USA
Topic: Applied data analysis, Statistical learning, Machine learning, Statistical decision theory
Document type: Syllabus
Institution: Emory University
Instructor: Abhishek Ananth
Target audience: Students in data science, statistics, and related fields
Prerequisite: None
Course duration: 15 weeks
Reading material: Hansen, Bruce. Econometrics. Princeton University Press, 2022. James, Gareth, et al. An Introduction to Statistical Learning: with Applications in Python. New York: springer, 2023.
Assessment: Problem sets (5) – 14% each, Class participation – 5%, Take-home final – 25%
Date of approval: Not specified
Date of changes: Not specified
Price: 8 / 10 USD
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