Yearbooks

BACK

The science of data analytics 353


 
Module code STK 353
Qualification Undergraduate
Faculty Faculty of Economic and Management Sciences
Module content

Data exploration. Data wrangling. Statistical coding. Algorithmic thinking.  Sampling: basic techniques in probability, non-probability, and resampling methods. Text mining and analytics. Machine learning: classification and clustering. Statistical concepts are demonstrated and interpreted through practical coding and simulation within a data science framework.
Module credits 25.00
Service modules Faculty of Natural and Agricultural Sciences
Prerequisites STK 210, STK 220, WST 212 or WST 211, WST 221, WST 212
Contact time 1 practical per week, 3 lectures per week
Language of tuition Module is presented in English
Department Statistics
Period of presentation Semester 2
The information published here is subject to change and may be amended after the publication of this information. The General Regulations (G Regulations) apply to all faculties of the University of Pretoria. It is expected of students to familiarise themselves well with these regulations as well as with the information contained in the General Rules section. Ignorance concerning these regulations and rules will not be accepted as an excuse for any transgression.

Postal Address:
University of Pretoria
Private Bag x 20
Hatfield
0028

Location:
GIBS | Groenkloof | Hatfield
Hillcrest | Mamelodi | Onderstepoort | Prinshof

Student Service Centre (for Contact students):
Contact Centre - Telephone: 012 420 3111
Contact Centre - Email: [email protected]

Get Social With Us

Download the UP Mobile App

Copyright © University of Pretoria 2024. All rights reserved.

Careers@UP | Tenders@UP | Ethics Hotline | PAIA Manual | Privacy Notices | Website Privacy Notice | Disclaimer | Terms of use

FAQ's Email Us Virtual Campus Share Cookie Preferences