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Introduction to data analytics - micro course



Get the big picture of data analytics. This micro course includes self-paced digital learning and a workshop that will provide you with an overview of the process of data analytics. This high-level view of the process will help you understand what it takes to draw valuable business insights from data. 

Introduction to data analytics takes you through the key stages of the data analytics process and uses a blended learning approach to enrich your understanding of what happens at each stage. The micro course includes activities to help you apply the process to a business problem in your own organisation, to see how you could apply the process to gain new insights.

This micro course introduces the steps and key concepts in data analysis and by attending, you’ll be able to:

  • Walk through the data analytics process with readings, videos, and interactive learning
  • Apply what you’re learning to your own business problem, to see how data analytics can help you
  • Join a virtual workshop led by a data analytics expert to see how the process works.


This micro course consists of 4 hours of self-paced digital learning course 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.

This course forms part of the Analysing Data for Business Insights Series

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

  • Demonstrate familiarity with key terms and principles in the field of data analytics
  • Describe the data analysis process
  • Identify the opportunities available to their organisation through data analytics
  • Identify the risks to their organisation if they fail to engage in data analytics
  • Articulate the ethical considerations when using data.

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. 

TECHNOLOGY REQUIREMENTS: 

 

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. 

 

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 

EVENT DETAILS


Topic: Business Mindset

Sub-Topic: Operational Excellence

Format: Blended Learning

Proficiency Level: Foundation, Intermediate

CPD: Upto 6 hours