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John Sandall, Narayanan Vaidyanathan, Mike Hughes, Clive Webb, and Tze Chem

For professional accountants working in all sectors, from financial services to healthcare and from banks to startups, FinTech provides opportunities for innovation and transformation. From the promise of artificial intelligence, to the demands of valuation in a digital era, finance professionals more than ever need the experience and knowledge to make the most of the opportunities ahead.

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For professional accountants working in all sectors, from financial services to healthcare and from banks to startups, FinTech provides opportunities for innovation and transformation. From the promise of artificial intelligence, to the demands of valuation in a digital era, finance professionals more than ever need the experience and knowledge to make the most of the opportunities ahead.

This program provides a practical insight into the range of FinTech technologies including artificial intelligence, machine learning and robotic process and intelligent automation that integrate to transform finance operations and business models in successful organisations. Digital finance knowledge and skills are essential components of the technology transformation as business becomes increasingly customer focused. And having the skills to understand how these technologies are deployed and integrated into a customer centric business strategy is essential.

The pandemic has sharply increased the speed of tactical transformations as organisations and entrepreneurs manage in a time of uncertainty. Accountancy, business and finance professionals are at the heart of these transformations in many organisations.

This program is designed for accountancy, finance and business professional working in all orgniastions from small business, large corporates or financial services or who are just interested in learning more about these new and exciting technologies and how they can transform organisational processes and customer experiences of services and products.

These three courses will ensure finance professionals have the practical skills needed to have an effective and productive understanding of these technologies: Managing the cyber threat – for finance professionals, Machine learning with Python for finance professionals Robotic process and intelligent automation for finance

What you'll learn

  • The practical skills needed to understand and implement effective cyber security, machine learning using Python and robotic process and intelligent automation in the finance function.
  • How machine learning tools are used to develop simple solutions relevant to accountancy, business and finance.
  • Appreciate the steps needed to manage the risk of potential cyber threats and the vulnerabilities they may exploit and the business impacts of a cyber-attack.
  • Understand how automation can assist in the efficiency of the finance function.

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What's inside

Three courses

Machine learning with Python for finance professionals

(22 hours)
Welcome to Machine learning with Python for finance professionals, provided by ACCA. This course will provide a view of what lies under the surface of a machine learning output, help to better interrogate a model, and partner with data scientists and others in an organisation to drive adoption and use of machine learning.

Manage the cyber threat for finance professionals

(16 hours)
This course is designed for accountancy, finance and business professionals working in all organisations from small business, large corporates or financial services or who are just interested in learning more about the vulnerabilities organisations are exposed to and the options available to protect their organisation.

Robotic process and intelligent automation for finance

(14 hours)
This course provides finance professionals with the skills to apply robotic process and intelligent automation to improve efficiency and support organizational strategy. Participants will learn to identify automation opportunities, develop business cases, select tools, and plan implementation.

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