Apply new skills to tackle business data insight challenges, using root cause analysis to assess current states and envision future possibilities.

Grasp customer needs, both internal and external, through design thinking, fostering empathy and collaborative innovation with a user-first approach.

Develop products that excite customers, manage stakeholders effectively, and ensure successful business outcomes by planning outcome-driven digital and data projects.

Enhance your data analysis capabilities and deepen insights with advanced exploratory statistical techniques, learning their application within the organisation.

Transform your data into a structured format for insightful analysis with Power Query, and delve into database design and SQL fundamentals to optimise your data pipeline.

With an understanding of customer needs, stakeholder engagement, and data project planning, this module concentrates on leveraging that knowledge to pose analytical data questions driving project guidance.

Unlock the potential of interactive dashboards and reports with Power BI, mastering the design of intuitive data solutions for self-service analysis by users.

Master critical statistical principles and hypothesis design techniques to develop data solutions that unveil key insights.

Dive into predictive analytics, learning to use statistical models and algorithms for forecasting trends, making predictions, and spotting data patterns.

Hone the skill of data storytelling, using visualisations, annotations, and context to craft compelling narratives that captivate and persuade your audience.

Discover how to streamline your workflows with Excel Macros and VBA, alongside an introduction to low-code tools for automating tasks, including email automation.

Delve into advanced process automation with Power Automate and Power Flow, enhancing your workflow efficiency.

Explore how to use AI tools, like Microsoft Co-pilot and ChatGPT, to optimise daily tasks, gaining hands-on experience with cutting-edge technology.