Foundations of R for Statistical Financial Analysis
Core concepts, vocabulary and working environment for r for statistical financial analysis.
£299 programme
Mai Studies Original · Accounting Technology & Analytics
R for Statistical Financial Analysis
R for Statistical Financial Analysis is an original Mai Studies programme in accounting technology & analytics. Over 10 weeks and roughly 100 guided hours you work through recorded classes, written notes, practical activities, knowledge checks and assessed tasks marked against a published rubric with an 80% pass mark. All material is written in-house. Mai Studies is independent: no official examination content, question bank, recording or branding from any certification body is reproduced, and completion leads to a Mai Studies completion certificate rather than a regulated or accredited qualification.
10 weeks 100 guided hours Advanced
This programme carries its own fee in addition to membership, and gives you twelve months to complete it. Your certificate is issued once the fee is paid.
What you will achieve
- Explain the core principles of r for statistical financial analysis in plain language
- Apply the methods safely and correctly to realistic scenarios
- Produce a documented portfolio piece assessed against a published rubric
- Plan your next steps in statistical risk modelling
Entry guidance
- — Solid intermediate experience in statistical risk modelling
- — Prior hands-on project work recommended
Original Mai Studies learning material. This is a professional completion programme, not a regulated qualification or university accreditation.
Programme syllabus
3 applied modules
4h
Applied practice in R for Statistical Financial Analysis
Hands-on work that turns theory into a repeatable method for statistical risk modelling.
Portfolio project, assessment and next steps
Produce assessed evidence of your capability and plan the study that follows this programme.