Spring 2025 Statistics GR5293 section 006

TOPICS IN MODERN STATISTICS

Machine Learn in Finance

Call Number 17405
Day & Time
Location
T 6:10pm-8:40pm
141 Uris Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Jeonghoe Lee
Type LECTURE
Method of Instruction In-Person
Course Description

Today's data scientist needs to have familiarity with data processing and management tools for processing large volumes of data, so-called Big Data. The class introduces the main principles of database management systems (DBMS) and will provide in depth knowledge in accessing data with SQL.  This class will study techniques and systems for ingesting, efficiently processing, and statistically analyzing large data sets. We will touch on modern technologies developed specifically for Big Data, but also focus on the ways cloud service help to store, access, analyze and model data. Upon completion of the course, you should be able to:

 

  • Utilize database management systems to parse and explore Big Data
  • Distribute data processing and statistical summary calculations efficiently
  • Carry out statistical analysis at different scales using local and distributed computing systems
  • Use Software Engineering principles to create and share standardized Machine Learning (ML) solutions
Web Site Vergil
Department Statistics
Enrollment 17 students (60 max) as of 9:05AM Monday, June 30, 2025
Subject Statistics
Number GR5293
Section 006
Division Interfaculty
Note STAT MA & MAFN Students only
Section key 20251STAT5293G006