Data Fundamentals Certificate

Become Certified in Data Skills 
Get certified in valuable data analytics skills, perform better at your job, and future-proof your career.

Get confident with data at your own pace.

The program offers:

• Receive a Data Fundamentals Certificate
• Bite-sized videos from expert trainers
• Knowledge assessment
• Access to cutting-edge tools
• Community support
• Downloadable templates, guides and case studies

Get confident with data
Become truly data driven by learning the fundamentals of data and all the ways it can enrich your role. Get an internationally recognised certificate in these key skills.

Unlock career opportunities
Data helps 94% of workers do their job better, so whether you’re looking to advance in your current role or break into something new, you’re going to need these data fundamentals.

Upgrade your performance
74% of leaders require data when it comes to decision making, and that number’s only growing. Data skills make you stand out.

Who is this course for?

• Data beginners across all industries
• Anyone unsure how to leverage data for better results
• Anyone lacking confidence when it comes to understanding and using data

Module 1: Data LiteracyStart with the basics. Understand the core principles of data analytics and how to read it, understand it, and make it work for your business.

• Reading and understanding data
• Data-driven mindset
• Basic data tools

Module 2: ExperimentationLearn how to use data to define experiment goals and understand their results.

• Experimentation fundamentals
• Goal setting
• Data Analytics
• Statistical inference
• Advanced Analytics*

Module 3: Data VisualisationTranslate your data into impactful stories, create impact and drive strategic change.

• Communicating data through charts
• Data visualisation best practices
• Create impactful presentations
• Connecting data to a story structure

Module 4: Data ProjectsDiscover how data can shape and inform your projects. Learn how to build and run a successful data project.

• Prioritising data projects
• Evaluating success of data projects
• Data teams *