CPA Australia
Data-Informed Decision-Making
- Delivery: Online
- Study Level: Intermediate
- Duration: 6 Hours
- Course Type: Short Course
- Total Price: From $519.75
Learn how data-informed decision-making frameworks can be used to provide real value to business leaders.
Course overview
This course explores data-informed decision-making, combining data analysis and judgment to make better decisions. Learners will understand the steps in the data analytics decision-making process, from framing the problem to taking action. The course also covers challenges like data quality, biases and ethics and how to address them.
With real-world examples from industry experts, this course provides essential tools and techniques for modern finance roles. It is highly interactive, featuring activities, videos and simulations, and applies to various industries.
- Earn recognised credentials: Gain a CPA Australia micro-credential and digital badge from Credly to showcase your expertise in data-informed decision-making on LinkedIn, your CV or email signature.
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Apply decision-making frameworks: Develop a structured approach to decision-making by mastering the data analytics process—from problem framing to modelling, evaluation and actionable insights—while addressing challenges like biases and ethics.
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Interactive, practical learning: Enhance your skills through self-paced online learning with activities, simulations and real-world examples tailored to finance and accounting professionals.
About CPA Australia micro-credentials
CPA Australia’s micro-credentials are based on technical and non-technical competencies. CPA Australia’s partner, Credly, will provide you with a digital badge for successfully completing the assessment. Your digital badge demonstrates your capability and achievement and can be placed on your LinkedIn profile, digital CV or email signature.
Key facts
What you will study
- Data and Decision-Making - Learn about how data-informed decision-making frameworks can be used to provide real value to decision-makers.
- Framing the Problem, Data Collection and Exploration - Explore the first three steps of the data analytics decision-making process: framing the problem, data collection and cleaning, and data exploration.
- Data Modelling - Learn about the fourth step of the data analytics decision-making process: data modelling.
- Evaluation, Communication and Action - Learn about the final three steps of the data analytics decision-making process: data evaluation, communicating insights and taking action.
- Challenges in Data Analytics - Discuss the challenges in data analytics, such as data quality, biases and ethics.
This course consists of one online course with a PDF learning manual and one online assessment.
Who should enrol
This course is suited to finance and accounting professionals who want to apply a data-informed decision-making framework to facilitate timely and efficient decision-making.
What you will learn
- Apply data analytics to support management decision-making.
- Analyse the impacts of challenges in data analytics for organisational decision-making