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From CS 400 Level Course Wiki
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, 23:11, 2 October 2016
<div align="right" style="font-weight:bold; font-size:14px;">Specialization: Data Science</div>
'''Course Information''' <br>
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.
{| style="text-align:left; width: 550PX;"
! Instructor
! Section
! Day & Time
! Location
|- style="vertical-align:top;" |
| [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 1121]<br>
|}
''' Course Prerequisite(s) ''' <br>
Prerequisite: Minimum grade of C- in CMSC216 and CMSC250. Restriction: Permission of CMNS-Computer Science department.
''' Class Webpage ''' <br>
[http://www.hcbravo.org/IntroDataSci/ Prior Years Class Webpage].
''' Hours Per Week ''' <br>
''' Languages Used ''' <br>
''' Recommended Prior Experience ''' <br>
''' Projects, Exams, or other Assessments ''' <br>
''' Misc Info ''' <br>