Go to Main Content

SCT WWW Information System

 

HELP | EXIT

Detailed Course Information

 

Fall 2017 Semester
Sep 24, 2017
Transparent Image
Information Select the desired Level or Schedule Type to find available classes for the course.

DS 4900 - Data Science Senior Project
Designed to help students develop a sophisticated understanding of data collection, integration, storage, statistical analysis, visualization, and machine-supported analysis and modeling. Requires students to analyze a substantial data set using statistical and visual methods and to build machine-learning models to discover patterns in the data. Results must be communicated in writing. Requires substantial programming in R, Python, Java, or C++.
4.000 Credit hours
4.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Data Science Department

Course Attributes:
NUpath Analyzing/Using Data, NUpath Capstone Experience, NUpath Writing Intensive, Computer&Info Sci

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate

Prerequisites:
Undergraduate level DS 4200 Minimum Grade of D- and Undergraduate level DS 4420 Minimum Grade of D-

Return to Previous New Search
Transparent Image
Skip to top of page
Release: 8.7.2