UNIVERSITY OF CAPE TOWN

BUSINESS ANALYTICS

Impact business performance with data-driven decisions and insights.

Duration

8 weeks, excluding
orientation

Effort

8-10 hours per week,
entirely online

Learning Format

Weekly modules,
flexible learning

CREATE A DATA-DRIVEN CULTURE

“It’s impossible to be a digital business without being a data-driven enterprise.”
– Mike Rollings, Research Vice President, Gartner.1

Globally, business leaders now recognise data’s potential in creating value. However, though the amount of available data presents incredible opportunities for insights, there is a lack of professionals with the skills to interpret such information. In order to create a data-driven business, organisations will increasingly prioritise employees with high data-literacy.


1 Gartner (Oct, 2019).

ON COMPLETION OF THIS COURSE, YOU’LL WALK AWAY WITH:

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

An official certificate from Africa’s leading university,2 and the ability to leverage your newfound business analytics skills to take advantage of career opportunities in this growing industry.


* While you will gain exposure to Python throughout this course, it will not be graded.
2 QS Top Universities (Jun, 2019).

COURSE CURRICULUM

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.

YOUR COURSE CONVENORS

Dr Adheesh Budree

Senior Lecturer, Faculty of Commerce at UCT

Specialising in e-commerce, the economics of technology, disruptive innovation, and information and communications technologies for development (ICT4D), Dr Budree holds a PhD from the University of the Western Cape, a Master of Science in financial economics from the University of London, and a postgraduate certificate in environmental economics from Rhodes University. He also has a diploma in business analysis from the Faculty Training Institute (FTI), an honours in information systems from Unisa, and a Bachelor of Science degree in computer science and business information systems from the then-University of Natal.

Şebnem Er

Statistics Lecturer, Faculty of Science, Department of Statistical Sciences at UCT

Er has a BSc degree in management engineering from Istanbul Technical University of Turkey (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.

AN ONLINE EDUCATION THAT SETS YOU APART

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:

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Gain verifiable and relevant competencies and earn invaluable recognition from an international selection of universities, entirely online and in your own time

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Enjoy a personalised, people-mediated online learning experience created to make you feel supported at every step

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Experience a flexible but structured approach to online education as you plan your learning around your life to meet weekly milestones

GET MORE INFORMATION

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