What does the ACCA CERTDIF syllabus cover
ACCA's CERTDIF is a leap into the future for finance professionals. Its a easy integration to Finance into the new world of emerging technologies like AI, Machine learning, Robotics etc.
So what is the ACCA CERTDIF syllabus
The certificate is divided into 20 units, each lasting around one hour. The certificate structure includes learning materials, sharing experiences, and reflection through notes.
The syllabus is divided in four sections namely
- Here and Now
- Emerging Technologies
- Future Disruption
- Digital Transformation
The detailed topic wise of the syllabus is as under
Introduction and overview
- Overview
- Pre-earning confidence questionnaire
- Background reading
- The digital accountant: digital skills in a transformed world
- The race for relevance: technology opportunities for the finance function
- My notes
1.Here and Now
a.Big Data|
Big data characteristics
|
|
|
Technology components
|
The value of big data
|
|
Big data types
|
My notes
|
b.Data analysis
|
Different types of data analysis
|
Quiz: Further analysis
|
|
Discussion: self-analysis
|
My notes
|
c.Data Science
|
What is data science?
|
Data scientists
|
|
Algorithms
|
Activity: Discovering technologies
|
|
Activity: Deploying algorithms
|
My notes
|
d.Analytic Tools
|
Different analytic tools
|
Quiz: The right tool for the job
|
|
Discussion: Your toolbox
|
My notes
|
2. Emerging Technologies
a.Machine learning
|
The history of machine learning
|
|
|
Algorithmic bias
|
Applications of machine learning
|
|
Quiz: You against the machine
|
My notes
|
b.Robotic Process automation
|
Robotic process automation in finance
|
The robots are coming
|
|
Robotic process automation in the finance function of the future
|
Robotic process automation: the future of technology in financial services
|
|
Discussion: the robots are here!
|
My notes
|
c.Artificial intelligence& intelligence augmentation
|
Artificial intelligence use cases
|
AI in accounting
|
|
Intelligence augmentation
|
Discussion: the benefits of AI
|
|
Discussion: you and AI
|
My notes
|
d.Data preparation, transformation, and infrastructure
|
Data types
|
Common issues
|
|
Tools for preparing data
|
My notes
|
e.Data Visualisation
|
What is data visualisation and why should I care?
|
How do I visualise data?
|
|
Discussion: data through your eyes
|
My notes
|
3. Future Disruptors
a.Blockchain technology|
What is blockchain?
|
|
|
Applications of blockchain for accountants
|
Quiz: blockchain brain?
|
|
The history of bitcoin
|
What is bitcoin, and how does it work?
|
|
Beyond currency
|
Quiz: money matters
|
|
What is deep learning?
|
Deep learning algorithms
|
|
Deep learning in accounting
|
My notes
|
d.Embedded & self-serve analytics
|
Why embed? |
Examples: NFL and The Beatles |
|
Where to embed? |
Embedded analytics in accounting |
4. Digital Transformation
a.Digital transformation: the role of finance
|
Video: digital transformation Q&A |
Digital technology in accounting |
|
Video: digitising finance departments |
My notes |
b.Roles and responsibilities
|
Identifying opportunities and setting a strategy |
Video: Opportunities and strategies |
|
Creating the right culture |
My notes |
c.Managing digital change
|
Driving innovation |
Identifying risk |
|
Achieving digital changes |
Video: managing digital change Q&A |
d.Digitizing internal processes
|
Digitising administrative processes |
Lean manufacturing |
|
Video: digitising internal processes Q&A |
Spare a thought for the humans |
e.Digitising products and services
|
Digitally enhancing products and services |
Common risks of digitising products and service |
|
Skills, credibility and infrastructure |
Examples: using data |
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