Professional skills

AI for Financial Planning and Analysis

Build practical skills in identifying finance use cases and data needs and assisted forecasting and scenario analysis.

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THE BIG PICTURE

About this course

AI for Financial Planning and Analysis develops your understanding of identifying finance use cases and data needs. The learning path connects assisted forecasting and scenario analysis with explaining outputs and checking assumptions, then brings these ideas together through controls confidentiality and human approval. Use the course outline to discuss the scope that fits your role, current experience, and team objectives. A suitable training plan should connect each concept to a relevant work scenario, give you opportunities to explain decisions, and make time for questions and feedback. For certification-related topics, this listing describes training or study support, not an official credential or a claim of authorized training-partner status. Check the current awarding-body requirements and exam version with your advisor. Contact MindClick for the delivery format, teaching language, instructor profile, duration, dates, and a written fee proposal. These details are confirmed for your individual or team inquiry rather than assumed from another provider’s program.

What you’ll learn

Explain identifying finance use cases and data needs in a practical work context.
Make informed choices about assisted forecasting and scenario analysis.
Recognize common pitfalls in explaining outputs and checking assumptions.
Connect controls confidentiality and human approval to a practical action plan.

A CLEAR PATH FORWARD

Recommended learning plan

2-day learning plan

Learn through a financial decision, with focused discussions, practical exercises and work you can take away.

Learning route: 2 recommended days
Practical work: 2 guided activities
Finish with: A practical review

Take a look at each day. Open a section to see the topics and practical work.

Day 1Identifying finance use cases and data needs

What we’ll cover

Identifying finance use cases
Data needs
Assisted forecasting
Scenario analysis

Put it into practice

Work through a sample dataset or model, challenge its assumptions and explain what the results do and do not show.

You’ll take away
An analysis with assumptions and quality checks

Day 2Explaining outputs and checking assumptions

What we’ll cover

Explaining outputs
Checking assumptions
Controls confidentiality
Human approval

Put it into practice

Use a financial decision to work through the options, explain your reasoning and compare approaches with the group.

You’ll take away
A practical worksheet and next-step checklist

Bring it all together

Present your analysis, assumptions, control checks and recommended decision.

Prerequisites

Bring a laptop for spreadsheet exercises. Advanced programs assume working knowledge of accounting concepts.

Confirmed batch starts

Dates confirmed by MindClick. These are start dates, not full course timetables. Session hours, duration, fees, instructors, language, seats and classroom venues are not yet specified.

Choose your country & month Enrollment & payment

Confirmed by MindClick · MC-11305