Difference between revisions of "CMSC320 - Introduction to Data Science"
From CS 400 Level Course Wiki
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Latest revision as of 20:20, 4 April 2017
Specialization: Data Science
Course Information
An introduction to the data science pipeline, i.e., the end-to-end process of going from unstructured, messy data to knowledge and actionable insights. Provides a broad overview of several topics including statistical data analysis, basic data mining and machine learning algorithms, large-scale data management, cloud computing, and information visualization.
Instructor | Section | Day & Time | Location |
---|---|---|---|
John Dickerson, Amol Deshpande | 0101 | MW 2:00pm - 3:15pm | ESJ 0224 |
Course Prerequisite(s)
Prerequisite: Minimum grade of C- in CMSC216 and CMSC250. Restriction: Permission of CMNS-Computer Science department.
Class Webpage
Prior Years Class Webpage.
Hours Per Week
Languages Used
Recommended Prior Experience
Projects, Exams, or other Assessments
Misc Info