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 Interpretation
Finance departments are being relied upon to demystify complex sets of data, and derive insights that shape an organisation's strategy. Effective teams use visualisation when communicating with stakeholders, to translate the data into easily understood concepts and demonstrate significant findings.
Through this course you will learn to interpret and present data in a meaningful and effective way to support organisational goals.
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
Correlation and Regression Analysis
- Learn how to use correlation and regression analysis to predict behaviours.
Forecasting and Optimisation Models
- Discover how forecasting and optimisation models can be used for planning, budgeting and solving business problems.
Issues in Data Interpretation
- Explore the impacts of data quality, small samples, outliers and biases.
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
- Analyse data analytics results to inform organisational decision-making.
- Advise on common issues in data analytics impacting data results.