AI-Powered Financial Analysis: Budgeting, Forecasting & Excel Modeling
Important note: This training may demonstrate AI tools that are not approved for use with Stanford data. Inclusion in this session does not imply institutional approval. Participants should refrain from entering Stanford data into unapproved tools. An up-to-date list of approved and reviewed tools is available on the GenAI Evaluation Matrix page.
| Code | Date | Delivery | Cost |
|---|---|---|---|
| ITS-1234 |
|
Live Online : 2 sessions | $450 |
| ITS-1234 |
|
Live Online : 2 sessions | $450 |
Before each live online session, Tech Training will provide a Zoom link for live online classes, along with any required class materials.
Discover essential Excel skills and AI tools for managing financial data. Covers financial functions, shortcuts, forecasting, and using AI to accelerate modeling, validate calculations, and generate insights for budgets, forecasts, and financial models.
Michael Magreta
I have over 20 years of experience working with Microsoft programs in both educational and professional settings. This experience spans from simple, as-needed problem-solving techniques, to very complex, pro-active strategies to increase efficiency and production. Learn more about Michael Magreta
- Program Description
Explore essential skills and AI-powered tools to manage financial data in Excel more efficiently. This session covers fundamental financial functions, shortcuts, and forecasting techniques, and explores how AI can accelerate complex financial modeling, validate calculations, and generate insights from your financial data. Whether you're building budgets, creating forecasts, or developing financial models, learn how to combine Excel's financial capabilities with AI assistance to work faster and with greater confidence.
Goal: To become better acquainted with the financial capabilities of Excel enhanced by AI tools
- Learning Objectives
- Identify and work with essential financial functions in Excel
- Increase fluency with shortcuts and time-saving techniques
- Discover how AI can validate and optimize financial formulas
- Accurately forecast data using traditional methods and AI-enhanced approaches
- Create dynamic financial models with AI assistance
- Use AI to explain complex financial concepts and troubleshoot errors
- Generate AI-powered insights from financial data and models
- Topic Outline
Core Financial Functions:
- Present Value (PV) / Future Value (FV)
- Net Present Value (NPV)
- Internal Rate of Return (IRR)
- Payment (PMT) and related loan functions
- Date functions (EOMONTH, YEARFRAC, etc.)
Analysis Tools:
- Goal Seek for target-based calculations
- Data Tables for sensitivity analysis
- Scenario Manager for multiple scenarios
- Correlation analysis
- Regression analysis
Logical & Decision Functions:
- IFS, AND, OR for complex conditions
- Nested IF statements for financial rules
- Mixed cell references for flexible formulas
Visualization & Reporting:
- Sparklines for trend visualization
- Icon sets for performance indicators
- Conditional formatting for financial thresholds
- Dashboard elements for executive reporting
AI-Enhanced Capabilities:
- Natural language formula generation for financial functions
- AI-powered model validation and error checking
- Automated scenario and sensitivity analysis
- AI forecasting method recommendations
- Plain-English interpretation of financial results
- AI-generated model documentation
- Prerequisites
Intermediate Excel knowledge (comfort with formulas and basic functions)
- Credits
- 6 Professional Development Units (PDU)
- 0.6 Continuing Education Units (CEU
- 6 Professional Development Hours (PDH)
- Stanford Technology Training Program Certificate of Completion Awarded
Custom training workshops are available for this program
Technology training sessions structured around individual or group learning objectives. Learn more about custom training
Special Group Rates
For groups of 5 or more within the same team or department, special rates are available. Please contact techtraining@stanford.edu for more details.
University IT Technology Training sessions are available to a wide range of participants, including Stanford University staff, faculty, students, and employees of Stanford Hospitals & Clinics, such as Stanford Health Care, Stanford Health Care Tri-Valley, Stanford Medicine Partners, and Stanford Medicine Children's Health.
Additionally, some of these programs are open to interested individuals not affiliated with Stanford, allowing for broader community engagement and learning opportunities.
