1. Introduction to Data Analytics
Dive into the fundamentals of data analytics, learning about data types, sources, and pre-processing techniques. Gain hands-on experience with Excel and SQL for data manipulation.
2. Data Visualisation and Exploration
Master the art of data visualisation for effective communication and exploration. Explore various visualisation libraries and practice creating impactful visualisations.
3. Statistical Analysis and Hypothesis Testing
Delve into statistical analysis techniques and hypothesis testing, essential for deriving meaningful insights from data and making data-driven decisions.
4. Agile Data Analytics
Learn how to apply Agile methodologies and Design Thinking to data analytics projects. Explore the Scrum and Kanban frameworks, user story mapping, and Agile metrics. Cap off the programme with a hands-on Agile data analytics project, putting your newfound skills into practice.
5. Analytics with Generative AI
Learn the skills to apply generative AI in data analytics and be aware of the benefits and limitations