CS 44000: Large Scale Data Analytics

3 Credits

Fall 2025LectureLaboratory
Fall 2025 Instructors(1)
Jianguo Wang

This course provides an integrated view of the key concepts of modern algorithmic data analytics. It focuses on teaching principles and methods needed to analyze large datasets in order to extract novel, transformative insights for the underlying application. The course emphasizes the duality between formulating questions that can be answered by statistical data analysis tools (the statistical perspective) and the algorithmic challenge of actually extracting such answers using available parallel and distributed computational resources from massive datasets. The topics cover three areas: (1) algorithmic concepts necessary for big data analytics, (2) bid data systems, including data management and programming, and (3) advanced analytic methods to address characteristics of real-world big data problems.

Course CS 440 from Purdue University - West Lafayette.

Prerequisites

Course Overview

Course GPA

GPA: 3.25
Grade Distribution% of Students
A
B
C
A: 47%
B: 36%
C: 15%
F: 2%

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Instructors2 instructors
Semesters5 semesters

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Fall 2025 Schedule:

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