This course is a stand-alone CPA Australia micro-credentialed course focused on using a data-informed decision-making framework in business. Successfully complete this course and assessment to receive a digital badge that you can share on LinkedIn and other social media platforms.
Description
About CPA Australia Micro-Credentials
CPA Australia’s Micro-Credentials are based on technical and non-technical competencies and align to our Accounting and Finance Capability Framework. Our partner, Credly, will provide you with a digital badge on successful completion of the assessment. Your digital badge allows you to demonstrate your capability and achievement, and can be placed on your LinkedIn profile, digital CV or email signature.
About Data-Informed Decision-Making
Data-informed decision-making refers to making decisions based on the combination of data analysis and judgement instead of only relying on intuition or gut feeling.
In this course, you will learn about how data-informed decision-making frameworks can be used to provide real value to decision-makers. You will learn about the steps of the data analytics decision-making process - framing the problem, data collection and cleaning, data exploration, data modelling, model evaluation, communicating insights and taking action.
You will also learn about challenges in data analytics, such as data quality, biases and ethics, and how they can be addressed to maintain the quality and integrity of data.
Featuring examples and real-world application provided by industry experts and financial leaders to embed the learning and bring the content to life, through this course you will gain the requisite tools and techniques that are increasingly important in modern finance roles.
This course is highly interactive with activities, videos and simulations to keep you actively engaged and will focus on a broad range of industries.
Key topics
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.
The assessment will be subject to security measures such as identification verification and webcam monitoring. Please ensure you read the Assessment and security policy and system requirements prior to making your purchase.
Learning objectives
- Apply data analytics to support management decision-making.
- Analyse the impacts of challenges in data analytics for organisational decision-making