This course is part of CPA Australia’s suite of Digital Finance micro-credentialed courses. Successfully complete this course and receive a digital badge that you can share on LinkedIn and other social media platforms.
Description
About Digital Finance
The Digital Finance suite of micro-credentialed courses examines the skills necessary to deal with finance and accounting in a digital world and equips you with the tools to apply emerging technologies in a real-world context.
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. 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 Analytics
Data analytics provide organisations with the business intelligence tools for efficient and profitable decisions with minimal risk. However, despite the technology to gather and process large sets of valuable data, many finance professionals lack the skills required to take advantage of this big data.
This course provides a working knowledge required to identify the use of big data and develop models and data strategy to support organisational goals.
This course consists of activities, videos and simulations to keep you engaged. It also features cases from leading companies, including Netflix, Narellan Pools, Palantir Technologies, John Deere, HSBC, First Wind, Woolworths, Google, TikTok, and Amazon that showcase real world application of business analytics.
Key topics of the course include:
Big Data
- Outlines the key attributes that distinguish big data from traditional data via the 4 Vs
- Best practice for implementation of big data applications in business
- Examines potential skills required by finance professionals in the evolving area of big data
Data Analytics
- Provides an overview of the different forms of business analytics
- Examines the steps in the data analysis process, with an emphasis on predictive modelling
- Discusses the risks and challenges in data analytics, and the characteristics of successful analytical models
- Illustrates how common errors and analytical shortcuts can produce deceptive models
Extraction, Consolidation and Design of Data Strategy
- Describes the importance of aligning the data strategy with the overall business strategy
- Outlines a framework to create a data strategy to translate big data into valuable business intelligence
- Implement a data strategy and change management to create a culture that values data, analytics and evidence-based decisions
- Discusses how finance professionals can use analytics during strategic business decisions
This course consists of one online course and assessment.
The assessment will be subject to security measures such as identification verification and webcam monitoring. Please read the Assessment and security policy and system requirements prior to making your purchase.
If you have commenced, or are about to commence, the CPA Program, please contact us before enrolling to this course.
Learning objectives
- Identify and evaluate big data from multiple sources and form financial and business insights
- Develop data models to support management decision making
- Design a data strategy in the context of the organisation’s strategic goals
Audience
This course is suitable for all finance and accounting professionals.
