Department of Statistics
STATS 769 Data Science Practice
Below description edited in year: 2017
Points: 15
For Advice: Paul Murrell (Email: p.murrell@auckland.ac.nz | extn: 85392)
Taught: Second Semester City
Website: STATS 769 website
STATS 769 is intended to provide students with computing skills involved in the acquisition and manipulation of large and/or complex data sets. A secondary aim is to give students practice in applying modern data mining techniques; there will be an emphasis on practice rather than theory.
data mining tools, working with database APIs and web APIs, parallel computing, and large memory computing.
The course will assume a certain amount of basic computing knowledge, such as might be obtained by completion of STATS 220 , STATS 380 or STATS 779. Some familiarity with data mining tools will also be assumed. The course will be largely based on R. The course will be assessed on assignment work, a written test, and a final exam.
Disclaimer:
Although every reasonable effort is made to ensure accuracy, this information for the course year (2017), is provided as a general guide only for students and is subject to alteration.
All students enrolling at the University of Auckland must consult its official document, the University of Auckland Calendar, to ensure that they are aware of and comply with all regulations, requirements and policies.