Difference between revisions of "CMSC320 - Introduction to Data Science"

From CS 400 Level Course Wiki
 
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| [http://jpdickerson.com/ John Dickerson] || style="vertical-align:top;" | 0101 || TuTh 3:30PM - 4:45PM || style="vertical-align:top;" | [http://maps.umd.edu/map/index.html?Welcome=False&MapView=Detailed&LocationType=Building&LocationName=406 CSI 3117]<br>
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| [http://jpdickerson.com/ John Dickerson], Amol Deshpande || style="vertical-align:top;" | 0101 || MW 2:00pm - 3:15pm || style="vertical-align:top;" | [http://maps.umd.edu/map/index.html?Welcome=False&MapView=Detailed&LocationType=Building&LocationName=226 ESJ 0224]<br>
 
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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