Foundations of Data Science (Microcredential)

This microcredential introduces students to foundational concepts and skills in data science and statistics, including:

• important elements in a modern data analytics ecosystem
• how data science solutions are deployed in response to real-world problem scenarios, and
• exploring ethical approaches to contemporary issues faced by data science professionals

Students will learn:

• descriptive and inferential statistics
• data pre-processing techniques
• basis machine learning models, and
• effective data visualisations using established data science platforms and analytics tools

Term 1: This course will be delivered between 15th February 2024 and 6th April 2024 - two hours per week for eight weeks.