Spring 2025 Statistics GR5293 section 002

TOPICS IN MODERN STATISTICS

Aspects of Math Finance

Call Number 14057
Day & Time
Location
TR 1:10pm-2:25pm
903 School of Social Work
Points 3
Grading Mode Standard
Approvals Required None
Instructor Philip Protter
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 14 students (35 max) as of 5:06PM Sunday, June 29, 2025
Subject Statistics
Number GR5293
Section 002
Division Interfaculty
Note STAT MA students only.
Section key 20251STAT5293G002