STATS 507 - Data Science and Analytics using Python
Fall 2019, Section 001
Instruction Mode: Section 001 is  In Person (see other Sections below)
Subject: Statistics (STATS)
Department: LSA Statistics

Details

Credits:
3
Waitlist Capacity:
99
Advisory Prerequisites:
STATS 500.
Repeatability:
May not be repeated for credit.
Primary Instructor:

Description

This course surveys some of the tools and frameworks currently popular among data scientists and machine learning practitioners in academia and industry. The first half of the course consists of an accelerated introduction to the Python programming language, including brief introductions to object-oriented and functional programming styles as well as tools for code optimization. The second half of the course will survey tools for handling structured data (regular expressions, HTML/JSON, databases), data visualization, numerical and symbolic computing, interacting with the UNIX/Linux command line, and large-scale distributed computing. Several modern inferential techniques arising in machine learning and applied statistics will be reviewed.

Schedule

STATS 507 - Data Science and Analytics using Python
Schedule Listing
001 (LEC)
 In Person
31815
Closed
0
 
 
 
 
-
TuTh 4:00PM - 5:30PM
Note: The Department of Statistics must allow students who are declared in its programs the opportunity to register for Statistics classes needed to complete their programs. The Statistics Department holds orientation for incoming Master's and PhD students at the end of August. Any remaining seats will be taken off of reserve on September 3, 2019. Instructors in the Statistics Department do not manage their waitlists and do not issue overrides.

Textbooks/Other Materials

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Syllabi

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