Certificate of Achievement
has completed the following course:
Introduction to Data Science for Healthcare Professionals
King's College London
This module covered the requirements of starting data capture, the ethics of data science, some of the challenges that may occur and introduced some of the technical and practical skills that will help you capture, visualise, and analyse data. The module finished by looking at various applications of data science in the healthcare system already.
4 weeks, 2 hours per week
Professor Rebecca Oakey
Innovation Scholars Lead
King's College London
Transcript
Learning outcomes
- Explore the common data science techniques and systems and to be able to give clear definitions of them
- Apply your understanding of data science terms when communicating with data scientists or teams working with data to collaborate effectively
- Identify where your role may interface within a data science team
- Develop and effectively word the research question they are trying to answer with their data
- Identify various data management systems that they may use to store and structure their data
- Identify the various data analysis techniques you could apply to your data to best answer your question
- Explore the process of data cleaning required prior to analysing data
- Describe any further training opportunities that would support you in developing your data science knowledge to apply to health care
- Understand the importance of data visualization and be able to recognise its value in being able to share data between the analyst, the data expert and patients and public.
- Critique the risks of using AI and Big Data and the perception this has from patients and public.
- Identify best practice when using AI and Big Data to minimize risks including understanding the current legislation in place.
Syllabus
Week one: Defining Data Science. This week covers what data science is and what components make up the field of data science
Week two: What can we do with all the data available. This starts exploring the data science process with the basics and data management.
Week three: Sharing the results of our data. We continue the data analysis process looking at the analysis itself, and how we can visualize and share the data.
Week four: Applying data science in healthcare. Considering the practical implications of applying these tools in regards to ethics and clinical considerations. This will also cover a number of case studies which show data science in action across healthcare.
Issued on 29th December 2025
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