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Course Schedule

Data Science

Course Descriptions and Schedule

MSDS 452-DL : Web and Network Data Science


Description

This course shows how to acquire and analyze information from the web. It provides a comprehensive review of web analytics, including website usage and search performance metrics. It shows how to analyze information from the web to understand user attitudes and behavior and to guide management decisions. Students explore natural language processing of text streams and documents collected from the web. Students use methods of network science, analyzing software systems, website structure, and user interactions through social media. This is a case-study- and project-based course with a strong programming component.

Prerequisites: (1) MSDS 420-DL Database Systems and Data Preparation or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.


Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/25/19Optional Sync Sa
9 – 11:30 a.m. 55
InstructorCourse FormatStatusCAESAR Course ID
Miller, Thomas
Online
Open
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