In a world that is increasingly data-driven, organisations now need professionals who can extract meaningful insights from data to make better business decisions.
On the Data Science with Python online short course from the University of Cape Town (UCT), you’ll have the opportunity to develop practical data science and analysis skills for use in everyday business scenarios.
Gain an introduction into statistical learning, which will provide a foundation on the mechanics of machine learning. You’ll explore supervised learning using tree-based models and neural networks, as well as unsupervised learning using K-means and hierarchical clustering. You’ll also learn about the process of revealing more robust patterns to ensure models are useful.Download course prospectus
What will set you apart
Earn a certificate of completion from UCT on this online course and be empowered to:
Use Jupyter Notebook and Python libraries, such as scikit-learn, pandas and matplotlib, to generate a selection of models that can be used to address real-world business situations
Analyse raw data and develop your ability to present and visualise the findings to your team
Use techniques such as regularisation to build and adapt robust models to solve business problems
Fit data to a model using Python in order to gain insight into business problems
Learn to solve business problems using statistical learning as you follow your learning path through the weekly modules of this online course:
- Orientation module: Welcome to your Online Campus
- Module 1: Data Science and Statistical Learning
- Module 2: Tree-Based Methods
- Module 3: Managing the Complexity of Tree-Based Methods
- Module 4: Neural Networks
- Module 5: Managing the Complexity of Neural Networks
- Module 6: K-Means Clustering
- Module 7: Hierarchical Clustering
- Module 8: Data Science in the Real World
Use data science in everyday business scenarios
This UCT online short course is delivered in collaboration with GetSmarter. Learn from industry thought leaders as you develop data analysis skills to add to your professional toolkit.
This course is technical in nature. In order to assess the level of support you’ll need for this course, a readiness test needs to be completed. The test will assess your competencies in mathematics, statistics, and understanding of programming languages.
Your Course Co-Convenors
The design of this online course is guided by UCT faculty and industry experts who will share their experience and in-depth subject knowledge with you throughout the course.
Lecturer, Department of Statistical Sciences at the University of Cape Town
Pienaar is a postdoctoral fellow at UCT where he convenes the postgraduate diploma in entrepreneurship. He obtained a BSc in financial mathematics at the University of Johannesburg and subsequently completed a postgraduate diploma in actuarial science, and an honours in statistics at UCT. He then obtained a master’s, as well as a PhD, in statistics. Although his research focuses primarily on the analysis of non-linear jump diffusion processes and the development of computationally scientific techniques (and accompanying software packages), he has strong interests in machine learning and risk valuation for financial instruments.
Jean-Paul Van Belle
Professor of Information Systems and Director of the Centre for Information Technology and National Development in Africa at the University of Cape Town
Van Belle has written over 120 published peer-reviewed articles in the fields of service-oriented architecture, unified communications within businesses, open source software, mobile computing, and information and communication technologies for development. In 2012, he established the UCT-Samsung Mobile Innovation Lab at UCT.
Earn a certificate from the University of Cape Town
Get recognised for your knowledge when you earn an official certificate of completion from UCT – and use it to set yourself apart with statistical learning methods for data-scientific problems.
Your certificate will be issued in your legal name and couriered to you, at no additional cost, upon successful completion of the course, as per the stipulated requirements. All certificate images are for illustrative purposes only and may be subject to change at the discretion of the University.REGISTER NOW
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WHAT ARE MY PAYMENT OPTIONS?
You can either pay your tuition fees in full before the course starts, or you may opt for a two-part payment plan for courses nine weeks and shorter. For courses ten weeks or longer, there is a three-part payment plan available. To find out more on payment options please visit our Payment and Financing page.
If you want to find out more about any of these options or you want to know which you qualify for please get in contact with a Course Consultant here.
WILL I HAVE THE TIME?
GetSmarter's learning model is designed to help you, as a working professional, improve your skills without compromising on work and family responsibilities. The course work is broken up into weekly, manageable bite-sized modules, with incremental deadlines, designed to help you pace yourself over the duration of the course and allow you the legroom to work when it suits you best.
At the beginning of each week you'll be presented with all the lectures, notes and assignments necessary for completion. You also have access to your Success Manager who will help you set goals and track key milestones, manage your time, and field any administrative requests you might have.
CAN MY EMPLOYER ASSIST WITH PAYMENT?
By improving your skills and industry knowledge, you'll be having an influence on the success of your organisation.
Why wouldn't you ask your boss to help you fund your studies if it's going to have an impact on the way you do business?
37% of our past students receive financial assistance from their employers. You can ask for help, too. Here is a guide to show you how to receive financial assistance from your employer.
WHAT IS THE ONLINE CAMPUS?
The Online Campus will be your virtual classroom for the duration of your course. Through its easy-to-use interface you'll have access to a diverse variety of course content formats, including: interactive video lectures, module notes, practice quizzes, Prezis, assignment briefs, and additional web resources.
On the Online Campus, you'll also be able to ask questions and interact with your fellow students and Head Tutor through the Online Campus discussion forums. If you're experiencing tech issues or need advice from your personal Success Manager, you can use the Online Campus to get in touch.