Overview
Part of the ModularMaster in Data Science (Healthcare) programme
Foundation of Data Science course offers a understanding of the end-to-end data science lifecycle, from identifying and understanding business problems to making data-driven decisions. It emphasises the importance of formulating clear objectives, collaborating with stakeholders, collecting and preprocessing data, and performing data analysis. The course also covers into simple modelling and analysis, exploring basic statistical techniques and machine learning algorithms for extracting insights. Overall, it provides essential knowledge and skills for effectively navigating the data science lifecycle and driving impactful decision-making in various industries.
This course, spanning a duration of five days, is specifically designed to equips participants with valuable skills in data analysis and communication in healthcare context. Over the first four days, participants will explore how to analyse healthcare data, perform statistical tests, and communicate important findings to different audiences. Using real-life healthcare scenarios and advanced tools, participants will develop skills to draw meaningful conclusions and contribute to evidence-based decision-making. Participants will be actively involved in a healthcare-related project throughout the module. The final day, which is split into two half-days on separate weeks, will be dedicated to project consultation and project presentation.
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 (Healthcare) or ModularMaster in Data Science (Healthcare).
Who Should Attend
Catering to healthcare professionals and individuals aspiring to join the healthcare industry, this course is specifically designed to develop foundational knowledge and skills in data science. It is highly recommended for clinicians, administrators, and managers working within healthcare organizations to enhance their capabilities and acquire the necessary competence to become proficient citizen business or data analysts in the healthcare field.
Prerequisites
- Participants should preferably have passed mathematics at least ‘O’ Level or equivalent.
- Participants should preferably have basic knowledge of statistic.
- 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.