Learn how to perform a range of data analysis techniques to yield learnings that can improve business decisions
8 weeks, excluding
orientation
7-10 hours per week,
entirely online
Weekly modules,
flexible learning
1
The skills to extract insights from data to improve business intelligence capabilities and inform decision-making.
2
The ability to use Tableau to explore data visualisation and storytelling, enabling you to effectively communicate and influence business strategies.
3
An understanding of how to apply data analysis techniques to data sets and communicate the results, as well as a conceptual understanding of how Python* and SQL can be used in analytics.
4
A digital certificate from Africa’s leading university,1 and the ability to leverage your new-found business analytics skills to take advantage of career opportunities in this growing industry.
1 QS Top Universities (2023).
*While you will gain exposure to Python throughout this course, it will not be graded.
Over the duration of this online short course, you’ll work through the following modules:
MODULE 1 Business Analytics and Data Visualisation
Explore descriptive statistics and data visualisation.
MODULE 2 Business Intelligence and Data Storytelling
Understand how SQL is used, dive into your data using Tableau, and explore data storytelling.
MODULE 3 Factor Analysis
Describe the co-variant relationship between a large number of variables in terms of a few underlying factors.
MODULE 4 Cluster Analysis
Find similarities among observations based on the characteristics they possess and segment them.
MODULE 5 Multiple Regression
Model the relationship between a numerical dependent variable and independent variables.
MODULE 6 Logistic Regression
Classify observations into the classes of a response variable with a probabilistic view.
MODULE 7 Classification Trees
Classify observations into the classes of a response variable utilising a tree structure.
MODULE 8 Business Analysis and the Future of Data Analytics
Combine data analysis concepts in a final report and explore the future of data.
Please note that module titles and their contents are subject to change during course development.
Dr Şebnem Er
Statistics Lecturer, Department of Statistical Sciences, UCT
Er has a Bachelor of Science degree in management engineering from Istanbul Technical University (ITU), and a PhD in quantitative methods from Istanbul University. Er’s PhD thesis, entitled “Dynamic Panel Data Analysis and the Determinants of Stock Returns in Turkish Manufacturing Sector”, addresses the issue of the applicability of efficient market theory to the Istanbul Stock Exchange (ISE) market.
Dr Gwamaka Mwalemba
Senior Lecturer, School of Information Technology, UCT
Mwalemba is a senior lecturer in the School of Information Technology at the University of Cape Town with over fifteen years of experience in academia and the information technology sector. Mwalemba is actively involved in digital skills development, with roles such as teaching, research, and managing industry-academia collaboration projects. Mwalemba’s areas of interest include (but are not limited to) data analytics, enterprise systems, project (and people) management, and national digital skills ecosystems, with a particular focus on policies and strategies related to digital skills development in developing countries.
This UCT online short course is delivered in collaboration with online education provider GetSmarter. Join a growing community of global professionals, and benefit from the opportunity to:
Gain verifiable and relevant competencies and earn invaluable recognition from an international selection of universities and institutions, entirely online and in your own time.
Enjoy a personalised, people-mediated online learning experience created to make you feel supported at every step.
Experience a flexible but structured approach to online education as you plan your learning around your life to meet weekly milestones.