Fall 2023 Industrial Engineering and Operations Research E4720 section 001

TOPICS IN QUANT FINANCE

App Analytic Data2Decison

Call Number 12372
Day & Time
Location
TR 2:40pm-3:55pm
310 Fayerweather
Points 3
Grading Mode Standard
Approvals Required None
Instructor Fabrizio Lecci
Type LECTURE
Method of Instruction In-Person
Course Description

Applied Analytics focuses on practical skills that make a Data Analyst autonomous and effective in a modern business organization. From querying and transforming data with SQL, to defining and visualizing metrics, to measuring impact of products and processes via experiments, we will go over tools and techniques that are needed to convert raw data into usable insights for business decisions and subsequent statistical analysis. By the end of the course, students will be able to apply these techniques to real-world datasets, and they will have the necessary knowledge to continue learning about other topics in Analytics and Statistics and fully leverage them in greater autonomy.

Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 70 students (70 max) as of 10:06AM Sunday, April 28, 2024
Status Full
Subject Industrial Engineering and Operations Research
Number E4720
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20233IEOR4720E001