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ACCA: Machine learning with Python for finance professionals

Online Course

  • Price: GBP (£)159 (Inc VAT if applicable)

Course Details

  • School edX
  • Location Online Course
  • All Dates Please contact us about this distance learning course
  • Duration 25 hour(s)
  • Accommodation Included No
  • Reference ACCA

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

Structure

Institution: ACCA

Subject: Computer Science

Level: Intermediate

Prerequisites: None

Language: English

Video Transcript: English

Associated programs:

Professional Certificate in FinTech for Finance and Business Leaders

Associated skills: Finance, Financial Technology (FinTech), Association Of Chartered Certified Accountants, Python (Programming Language), Jupyter, Machine Learning, Customer Service, Business Strategies

Useful Information

What you\\\\\\\\\\\\\\\'ll learn

An introduction to Python starting from initial setup and explaining foundational concepts like data types, variables, mathematical operators, flow control, and functions

Using Python for data analysis including how to load data from different sources, drill down and segment, create pivot table style aggregations and explore data visualisation libraries.

Automating Excel workflows using Python to write macros that can be run at the click of a button using the full power of the Python eco-system; and to create template reports that update live with the latest data.

How to better interrogate a model, and partner with data scientists and others in an organisation to drive adoption and use of Machine Learning

Understand the basic workings of a machine learning model and its relationship to data science, Big Data and Artificial Intelligence.

Apply to real-world machine learning examples to meet practical objectives such as evaluating and improving the model, and error detection/correction.

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