Objectives
Upon completion of the course, participants will be able to: 1. Understand the role of data science and particularly data analytics in solving business problems 2. Learn machine-learning approaches in processing structured and unstructured data 3. Tell a data story using contemporary visualisation tools 4. Define and scope data analytics problems 5. Process and prepare data sets for analytics purposes 6. Apply data analytics in supervised and unsupervised learning
Who Should Attend
- Project Managers - IT Managers - Software Engineers - Programmers - Data Analysts
Lesson Delivery
a) Facilitated Learning: 39 hours
b) Project: 13 hours
c) Assessment: 2 hours
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Please note that the mode of delivery is subject to change in light of the COVID-19 situation.
Courses marked ‘online’ may have compulsory face-to-face sessions such as laboratory or hands-on components and details should be sought from the schools or departments before learners register for them.
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Last updated: 06 September 2024