Statistical Methods for Data Science and Analytics using R

Facilitator: Dr Warren Brettenny is a Senior Lecturer and Head of the Department of Statistics at Nelson Mandela University. He completed his PhD in Mathematical Statistics at NMMU with a focus on statistical methods for efficiency assessments. Dr Brettenny is the President of the South African Statistical Association and currently focuses his research on Machine Learning and Data Science applications, specifically in the field of renewable energy and finance.

Target Group: Postgraduate Students and Staff

Background: This is an intermediate statistics course focused on training in the application of methods to perform elementary and intermediate data science and analytics tasks including regression analyses and classification. A review of data wrangling and data visualisation methods will also be covered. This training course will be of benefit to any postgraduate student who is required to perform analysis on their research data and gain an understanding of data science and analytics.

The following topics will be covered:

Basics of Data Wrangling and Visualisation
Multiple Regression
Ordinal and Poisson Regression
Logistic Regression
Naïve Bayes Classification
Decision Trees and other classification methods

Requirements: Software requirements will be communicated to participants prior to the start of the course.

This workshop is funded by the Department of Higher Education and Training (DHET) through the University Capacity Development Grant (UCDG)

Workshop Information

Date:

30 October - 1 November 2023

Time:

08h30-16h00

Venue:

South Campus, Statistics Undergraduate Lab – Room 07 02 48

Registration:

Registration for this workshop has closed.

Please note: Only 20 participants can be accommodated at this workshop

Enquiries: Jadine Januarie