Advanced Financial Modeling Using Excel and Python

Course Overview

  • Equip participants with advanced financial modeling skills using Excel and Python.
  • Enhance ability to build, analyze, and automate complex financial models.
  • Strengthen forecasting, valuation, optimization, and scenario-analysis capabilities.
  • Apply Python for data automation, analytics, and model enhancement.
  • Improve decision-making through data-driven financial insights.

Training Format:In-class, Virtual, In-house

Location:Lagos, Accra, Nairobi, Kigali

Language:English, French

Nigeria Price:
₦33000

Int'l., (Nigeria) Price:
$1000

Ghana Price:
$4000

Kenya Price:
$5500

Rwanda Price:
$6000

Nigeria Price:₦33000

Int'l., (Nigeria) Price:
$1000

Ghana Price:
$4000

Kenya Price:
$4000

Rwanda Price:
$4000

Nigeria Price: ₦33000

Int'l., (Nigeria) Price:
$1000

Ghana Price: $4000

Kenya Price: $4000

Rwanda Price: $4000

Introduction to Advanced Financial Modeling

  • Principles of robust financial models
  • Model structure, logic flow, and best practices
  • Integrating Excel and Python for modeling

Advanced Excel for Financial Modeling

  • Complex formulas, nested functions, arrays
  • Advanced lookups, dynamic tables, Power Query
  • Scenario and sensitivity analysis
  • Financial statements modeling (3-statement models)

Python for Financial Modeling

  • Python basics for finance: NumPy, Pandas
  • Data importing, cleaning, and transformation
  • Building automated financial calculations
  • Python visualization for financial insights

Forecasting & Valuation Models

  • Revenue, expense, and cash-flow forecasting
  • DCF valuation model (Excel + Python)
  • Sensitivity, Monte Carlo simulation
  • KPI modeling and performance dashboards

Risk Analysis & Optimization

  • Risk modeling techniques
  • Portfolio optimization using Python
  • Scenario planning and stress testing
  • Decision models and advanced analytics

Automation & Model Integration

  • Automating Excel tasks with Python
  • Creating reusable model templates
  • Linking Python scripts with Excel
  • Documenting, validating, and presenting models

1ST BATCH: Tuesday, April 7, 2026 — Friday, April 10, 2026.

2ND BATCH: Tuesday, July 28, 2026 — Friday, July 31, 2026.

3RD BATCH: Tuesday, November 24, 2026 — Friday, November 27, 2026.

The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.

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