Foundation of Data Science
Overview
Part of the ModularMaster in Data Science programme
Empower your decisions with Data
Foundation of Data Science is a practical course which will provide participants with the fundamental knowledge, skills and abilities to extract, transform, analyse and model data.
The 5-day, credit-bearing programme provides an overview of data science and machine learning. Participants will learn through hands-on practices to prepare data for analysis, develop testing methods for statistical model, operationalise machine learning models and identify and communicate business insights to both technical and non-technical audience.
Plan your learning path
This course can be taken as a module on its own or as part of the Graduate Certificate in Fundamentals in Data Science stack and participants will earn 12 subject credits which can also be used towards completing the ModularMaster in Data Science.
9:00am – 5:00pm
Who Should Attend
First step for participants who aspire to build their foundational knowledge and skills towards the role of a data or business analyst; or for participants who wish to be a “citizen data/business analyst” in their work and be able to solve day-to-day problems through data analytics and draw useful insights from their data.
Prerequisites
- Participants should preferably have passed mathematics at least ‘O’ Level or equivalent.
- Participants should preferably have basic knowledge of statistics.
- Participants should be conversant with basic IT skills such as software installation, file management and web navigation.
- Participants should have basic familiarity with Microsoft Excel: using built-in functions to perform some calculations.
- Participants are required to bring their laptops.
Learner’s Experience
“The course is well paced and the skills learnt are relevant to situations encountered in a professional setting. There are good opportunities for hands on practice and provides a good foundation and refresher to those in need of data science knowledge.”
Joseph Huang
Attended Foundation in Data Science