Telling stories with data - micro course

No matter how well you collect and analyse data, you won’t realise the value unless you can communicate the story of your data to the people who make decisions. This micro course will introduce you to the principles of a great data story. 

Telling stories with data outlines the principles of effective data communication and strategies for telling data stories that make an impact in a business environment. This includes learning about displaying data using Power BI displays and apply visual communication strategies. Learners will work through an extended case study to practice identifying and communicating data insights.

This micro course consists of 5 hours of self-paced digital learning and a virtual 2-hour live practical application workshop.

The above self-paced timings are an estimate. This course provides the flexibility to access the online content at any time and study at your own pace. The time it takes you to complete the digital learning component will depend on your level of prior knowledge, competency level and pace of study.

This course does not have a mandatory assessment component. However, you are encouraged to attempt online quizzes to challenge yourself and validate your understanding of the course topics.

Workshops will be provided at scheduled intervals and will be readily available so you can join a workshop when you are ready to do so; but ideally after you’ve completed the corresponding digital component. Check the agenda tab for upcoming workshop dates.

By completing this micro course, you’ll be able to:

  • Communicate results of data analyses to stakeholders
  • Provide actionable insights that address business problems
  • Apply knowledge of data analysis to interrogate data communications.

Learn more about micro coursesor explore other available topics.

Ilja Nastjuk 
Content and Curriculum Lead (Data analytics and emerging technologies) 
Chartered Accountants Australia & New Zealand 
Ilja works for CA ANZ as a Content and Curriculum Lead and provides leadership and direction in developing and facilitating curricula in Information Technology, Data Analytics, and Strategic Intelligence. Being also an Adjunct IT and Data Analytics lecturer, Ilja has worked closely with students and professionals from diverse cultures, ages, backgrounds and learning levels and has a deep commitment to empowering them to achieve their academic and professional goals.  

Grant Henderson  

Director and Principal Analyst 
Perceptive Data 
Grant works for Perceptive Data, a data analytics company specialising in developing visual analytics and communicating data analytics across a range of industries. Grant also has extensive experience in education as a leading teacher in secondary education, is the course coordinator in Data Analytics for Sport Management at Federation University Australia, and holds a Bachelor of Computing and Graduate Diploma of Education qualifications. He is excited by the opportunity to facilitate the CPD micro course workshops and work with participants to build their skills and capabilities in data analytics and data storytelling. 


This course will be taught on the CA ANZ My Capability - Learn Learning Management System, which can be accessed via computer, laptop or other similar technology. For an excellent experience, the technical requirements below are recommended, however the course will function with lower specifications. Please note you’ll need access to Microsoft Power BI. 

Operating system 

  • Windows 10 (latest version) 
  • Mac OSX Catalina (10.15) 

Internet speed 

  • 10 Mbps download 
  • 4 Mbps upload 

Web browser 

  • Chrome (latest version) 
  • MS Edge (latest chromium version) 

RAM (random access memory) 

  • 8 GB (<75% used) 

Screen resolution 

  • 1280 x 1024 px 

Webcam resolution 

  • 1280 x 720 px 

Software requirements 

Hardware requirements 

  • Headset with microphone


Topic: Business Mindset

Sub-Topic: Operational Excellence

Format: Blended Learning

Proficiency Level: Foundation, Intermediate

CPD: Upto 7 hours