Yearbooks

BACK

Applications in data science 212


 
Module code WST 212
Qualification Undergraduate
Faculty Faculty of Economic and Management Sciences
Module content

Introductory machine learning concepts. Data base design and use. Data preparation and extraction. Statistical modelling using data base structures. Statistical concepts are demonstrated and interpreted through practical coding and simulation within a data science framework.
Module credits 12.00
NQF Level 06
Prerequisites WST 111, WST 121 or STK 110, STC 122
Contact time 1 practical per week, 2 lectures per week
Language of tuition Module is presented in English
Department Statistics
Period of presentation Semester 1
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]

UPOnline Call Centre (for Online Students):
Call 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