FinTech for Finance and Business Leaders
Offered By: ACCA via edX
Course Description
Overview
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
Syllabus
Course 1: Machine learning with Python for finance professionals
A machine learning course focused on delivering practical Python skills for finance professionals looking to maximise their use of these time-saving tools within their organisation.
Course 2: Manage the cyber threat for finance professionals
In this course, we use scenarios/examples to examine the threat of a cyber-attack and good practices on mitigating the risk.
Course 3: Robotic process and intelligent automation for finance
In this course we explain how automation can play a key role in delivering the requirement to have robust processes and clean data. By using automation tools and machine learning, finance leaders can identify, implement and configure the right solutions for their organisation. It also shows how tools, such as Python, can be applied to finance processes and the benefits this will bring.
Courses
-
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 these new and exciting technologies and how they can transform organisational processes and customer experiences of services and products. With a focus on practical skills throughout, this course provides the ability to apply skills as well as understand them.
-
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. With a focus on practical skills throughout, this course provides the ability to apply skills as well as understand them.
-
Welcome to Machine learning with Python for finance professionals, provided by ACCA (Association of Chartered Certified Accountants), the global body for professional accountants. This course is part of the FinTech for finance and business leaders professional certificate program.
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. 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. With 16 Jupyter Notebooks available, alongside corresponding solution notebooks, and bonus exercises you will quickly become skilled in specific time-saving Machine Learning tools
- Access to all end of module quizzes
- Access to the final assessment
Taught by
John Sandall, Narayanan Vaidyanathan, Tze Chem, Clive Webb and Mike Hughes
Related Courses
4.0 Shades of Digitalisation for the Chemical and Process IndustriesUniversity of Padova via FutureLearn A Day in the Life of a Data Engineer
Amazon Web Services via AWS Skill Builder Accounting Data Analytics
University of Illinois at Urbana-Champaign via Coursera Accounting Data Analytics
Coursera A Cloud Guru's Elastic Certified Analyst Exam Preparation Course
A Cloud Guru