Programme Outline
Learning Objectives
- Understand what is Big Data Analytics, how it is used and where it can be applied.
- Prepare, analyse, identify business insights, and apply data science and big data analytics.
- Develop, evaluate testing methods for statistical model.
- Demonstrate through a presentation on how they have designed and applied a data analysis project from start to finish and the key results of the analysis and insights gained.
- Understand healthcare case studies shared by SingHealth faculty members to gain insights into real-world scenarios.
- Utilise curated public healthcare datasets to perform hands-on activities and assignments, fostering practical experience and understanding of the subject matter.
Day 1 – Introduction to data science
- Data science lifecycle
- Common tools in data science
- Roles in data science
- Data acquisition
- Types of analytics used in healthcare
Day 2 – Data Preparation
- Data profiling
- Data cleaning
- Data enrichment
- Descriptive statistics used in healthcare
Day 3 – Data science modelling
- Data validation
- Types of statistical test
- Regression and classification models
Day 4 – Data visualisation and business decision
- Visualisation and dashboard
- Data storytelling
Day 5 – Consultation/ Project presentation
Project Consultation
Each group of participants will present the progress of their projects and have the opportunity to ask questions and clarify any doubts pertaining to their projects.
Project Presentation
Each group of participants will showcase their work and respond to questions during a Q&A session.