Starting a data science project (13:38)

This video lesson will give you an understanding of:

• The essential early steps in a data science workflow, including defining the problem and understanding data availability.

• The differences between descriptive, inferential, and predictive questions in healthcare.

• The various types of healthcare data (continuous, categorical, time-series) and common data sources.

By the end of this video lesson, you will:

• Understand how to clearly define a clinically relevant and actionable problem.

• Be able to identify the appropriate type of analysis needed for different questions.

• Recognise the importance of assessing data quality and type before beginning analysis.

For a transcript of this video lesson, click ‘download handover’ above. Once you have completed the bite-sized video, please ensure you fill out our feedback survey which can be found at the end of the course page.