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    Sep 26, 2023  
2019-2020 Augusta University Catalog 
2019-2020 Augusta University Catalog [ARCHIVED CATALOG]

DATS 7530 - Computing for Data Science (3 Credit Hours)

This course provides students with hands-on experience of understanding the challenges in analyzing big data. This course introduces a Linux-based environment for data scientists. A variety of topics are covered in this course including database management and manipulation, computation resource management, parallel computing and GPU-based computation. This is an object-oriented course, with students collaboratively working on projects using shared resources. By running the computations on a cloud platform, students gain valuable first-hand experience of working in a computational environment. The course is primarily divided into four modules including Linux environment, Data manipulation, SQL database, and R module.

Lecture Hours: 3

Grade Mode: Normal, Audit
Prerequisites: STAT7510 >= C
Repeat Status: No
Degree Restrictions: Graduate Coursework
Schedule Type: Asynchronous Instruction

Click here for the Schedule of Classes.