Real Estate Investment, Development, and Asset Management Greece

Real Estate Private Equity Modelling Training Course

Real estate private equity modelling sits at the point where acquisition logic, capital structure, and exit assumptions become investment decisions, and small errors in NOI, cap rates, or waterfall logic can change the result of a deal screen. Real estate private equity modelling is the practice of building an Excel-based financial model that links property cash flows, leverage, equity returns, and exit value. It enables professionals to evaluate acquisitions, test financing structures, and present investor-ready recommendations.

This course bridges the gap between broad deal awareness and disciplined execution using Excel, IRR, equity multiple, DSCR, and waterfall logic, while also reflecting modern pressure from faster deal cycles, AI-assisted analysis, and stronger data-driven investment committees. It is designed for investment analysts, real estate finance associates, asset management professionals, acquisitions teams, and development analysts who need to assess opportunities, build defensible models, and explain assumptions with clarity. You will leave with practical outputs such as an acquisition model, return sensitivity table, capital stack summary, and investment memo support that you can apply in live deal work.

Duration
5 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Foundation To Intermediate
Level
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Live Online Training

Join from anywhere with interactive virtual sessions

Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850

Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
5 Days
USD 1,600
Kigali Rwanda
Mon - Fri
5 Days
USD 1,900
Dubai United Arab Emirates (UAE)
Mon - Fri
5 Days
USD 4,100
Addis Ababa Ethiopia
Mon - Fri
5 Days
USD 2,400
Customized Content
Team Training
Flexible Dates

In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →
Kigali, Rwanda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (5 Days) USD 4,100 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Abuja, Nigeria Mon - Fri (5 Days) USD 2,800 English See dates & reserve →
Mombasa, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →
Cape Town, South Africa Mon - Fri (5 Days) USD 3,900 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (5 Days) USD 3,500 English See dates & reserve →
Pretoria, South Africa Mon - Fri (5 Days) USD 3,300 English See dates & reserve →
Kampala, Uganda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Lagos, Nigeria Mon - Fri (5 Days) USD 2,500 English See dates & reserve →
Arusha, Tanzania Mon - Fri (5 Days) USD 2,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Kisumu, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →
Nakuru, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →
Accra, Ghana Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Naivasha, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →

Live, instructor-led sessions you can join from anywhere — pick the next start date below.

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RPM-38 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →
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RPM-38 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →
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RPM-38 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →

Our instructor comes to your office — same curriculum and accredited certificate, with case studies built around the work your team actually does.

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Content tailored to your industry, tools, and specific business challenges

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About the Course

Real estate private equity firms expect you to prove why a deal works, not just describe the asset. That means you need to show how the acquisition price, lease profile, operating expenses, financing terms, and exit assumptions interact inside a model that can be defended under pressure. In this field, you are expected to demonstrate underwriting discipline, cash flow logic, IRR analysis, equity multiple analysis, DSCR thinking, and sensitivity testing against a realistic operating case. This course uses those core elements as the backbone of a practical real estate private equity modelling workflow.

The course turns scattered finance knowledge into a structured system for underwriting and presentation. You will practice building acquisition assumptions, modeling operating cash flows, calculating levered and unlevered returns, and testing exit value under different cap rate and financing scenarios. You will also be introduced to waterfall concepts, goal seek, and scenario analysis at a level that helps you read and adapt existing models with confidence. What you will learn: how to build a real estate private equity model in Excel, how to calculate core returns and debt metrics, and how to turn the model into a decision-ready investment view. The hands-on work focuses on a working deal model, while advanced multi-tier waterfall design is introduced conceptually so the course stays realistic for a foundation-to-intermediate audience.

The course also reflects the constraints you actually face in deal teams: compressed transaction timelines, incomplete operating data, varying lender terms, and pressure to produce clean outputs for investment committees. It is structured for professionals who must deliver accurate analysis with limited time, not for theoretical study. You will work through practical modelling decisions that mirror acquisition screening, capital stack review, and investor reporting in typical real estate private equity environments.


Target Audience

This real estate private equity modelling course is designed for professionals who need to build, review, or explain investment models in acquisition, asset management, or development settings.

  • Acquisitions Analysts who underwrite purchase opportunities and test deal returns
  • Real Estate Private Equity Associates who build and review transaction models
  • Investment Analysts who assess leverage, IRR, and equity multiple outcomes
  • Asset Management Analysts who track performance against underwriting assumptions
  • Development Finance Analysts who model project cash flows and exit value
  • Real Estate Investment Managers who screen opportunities for investment committee review
  • Portfolio Analysts who compare asset-level returns across property strategies
  • Financial Planning and Analysis Managers who support real estate investment decisions
  • Real Estate Finance Consultants who prepare valuation and sensitivity analyses
  • Development Managers who need credible modeling support for capital decisions

Course Objectives

This course equips you to design, execute, and measure real estate private equity modelling work that supports acquisition analysis, financing decisions, and investment committee reporting.

  • Assess a deal's current state using an Excel acquisition model, NOI bridge, and cap rate assumptions.
  • Apply discounted cash flow and IRR calculations to test real estate private equity returns.
  • Design a levered and unlevered cash flow model with operating income, debt service, and exit proceeds.
  • Build sensitivity tables for purchase price, rent growth, exit cap rate, and leverage assumptions.
  • Calculate DSCR, equity multiple, and unlevered yield using structured Excel formulas and scenarios.
  • Classify transaction inputs into acquisition costs, operating assumptions, financing terms, and exit variables.
  • Compare financing structures and return outcomes using goal seek and scenario analysis in Excel.
  • Synthesize model outputs into an investment summary, capital stack view, and committee-ready recommendation.

Requirements & Prerequisites

Participants should have a working understanding of basic corporate finance concepts such as cash flow, discounting, and return metrics, plus comfort using Microsoft Excel for formulas and tables. No coding is required. Prior exposure to real estate terminology such as NOI, cap rate, lease income, and debt amortization will help, but the course begins with foundations and builds toward applied underwriting. The course teaches advanced concepts at an operational level, with hands-on Excel implementation for core calculations and conceptual introduction to waterfall mechanics.


Professional and Organizational Impact

When you lead real estate private equity modelling with credible numbers and clear assumptions, you become a trusted contributor to deal execution and capital allocation.

  • Build stronger Excel models for acquisitions, valuation, and return analysis.
  • Gain confidence in reading leverage, DSCR, and waterfall logic.
  • Strengthen your ability to defend assumptions during deal review meetings.
  • Enhance your modelling speed with structured formulas and scenario tables.
  • Develop practical fluency in cap rate, NOI, and exit valuation.
  • Position yourself as a reliable analyst for investment committee materials.
  • Expand your readiness for real estate private equity and finance roles.

Organizations that embed real estate private equity modelling into acquisition review and capital planning reduce pricing errors, improve underwriting discipline, and make faster investment decisions.

  • Improve acquisition pricing accuracy across live deal pipelines.
  • Reduce modelling errors in cash flow and debt calculations.
  • Support faster investment committee decisions with clearer return evidence.
  • Strengthen portfolio visibility across asset-level performance and assumptions.
  • Improve lender discussions through better DSCR and leverage analysis.
  • Reduce due diligence gaps in operating assumptions and exit cases.
  • Support stronger capital allocation across competing investment opportunities.

Training Methodology

This is a practical, outcome-driven course designed to turn real estate private equity modelling aspiration into measurable action and credible reporting.

Methodology includes:

  • Hands-on Excel exercise calculating NOI, IRR, and equity multiple from a deal dataset.
  • Scenario simulation testing a property acquisition under refinancing, vacancy, and exit cap rate pressure.
  • Diagnostic review of an acquisition model against investment banking-style formatting and formula integrity checks.
  • Stakeholder mapping exercise for investment committee, lender, sponsor, and asset management reporting.
  • Case study analysis from office, multifamily, industrial, and retail real estate transactions.
  • Group workshop building a compact acquisition model and investment summary under time constraints.
  • Reflection exercise comparing model outputs against underwriting benchmarks and observed deal assumptions.

Upcoming Sessions

Next available dates worldwide

Virtual

(Zoom) Training
USD 850
15th Jun-19th Jun 2026

Nairobi

Kenya
USD 1,500
29th Jun-3rd Jul 2026

Kigali

Rwanda
USD 1,850
22nd Jun-26th Jun 2026

Dubai

United Arab Emirates (UAE)
USD 3,900
13th Jul-17th Jul 2026

Addis Ababa

Ethiopia
USD 2,500
15th Jun-19th Jun 2026

Abuja

Nigeria
USD 2,800
15th Jun-19th Jun 2026

Zanzibar

Tanzania
USD 2,100
22nd Jun-26th Jun 2026

Mombasa

Kenya
USD 1,600
15th Jun-19th Jun 2026

Cape Town

South Africa
USD 3,500
29th Jun-3rd Jul 2026

Johannesburg

South Africa
USD 3,100
6th Jul-10th Jul 2026

Kampala

Uganda
USD 1,800
15th Jun-19th Jun 2026

Pretoria

South Africa
USD 3,000
29th Jun-3rd Jul 2026

Lagos

Nigeria
USD 2,500
20th Jul-24th Jul 2026

Certification

Recognized credentials that advance your career

Participants who complete the Real Estate Private Equity Modelling Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

Skills Relevance

  • Master cutting-edge real estate valuation techniques used by top professionals.
  • Learn to build sophisticated financial models from scratch for robust investment analysis.
  • Gain practical expertise with real-world case studies from the private equity sector.

Expert Delivery

  • Taught by industry leaders with over 20 years of real estate PE experience.
  • Receive personalized feedback to refine your modeling techniques and strategies.
  • Interactive sessions ensure you apply concepts immediately and effectively.

Career Advancement

  • Boost your portfolio with skills that set you apart in the real estate market.
  • Direct pathways to networking opportunities with top-tier industry professionals.
  • Equip yourself with the expertise to negotiate and close high-stake deals confidently.

Industry Tools and Platforms Featured in this Training

The platforms and vendors Greece teams are running today — taught against real configurations, not generic vendor demos.

1
  • Microsoft Excel Microsoft
    Used to build acquisition models, waterfall structures, sensitivity tables, and return metrics such as IRR, equity multiple, and DSCR.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

GR Built for Greece

How this course applies where you work

Local laws, real case studies, and data-points that make the curriculum land — not generic global theory.

Business Results You Can Expect

How participants put this to work the week after training — and the measurable return their organisation can plan for.

How participants apply this

Participants apply the model to Greek acquisition opportunities by translating rent rolls, operating expenses, and financing terms into a live Excel workbook. They test how changes in occupancy, cap rates, leverage, and exit timing affect equity returns and downside risk. In practice, this supports acquisitions teams, asset managers, and development analysts when they need to compare bids, explain assumptions, and defend recommendations to investment committees. The course is especially useful where analysts must move quickly from broker materials and lender term sheets to an investable view.

Expected ROI

Within 6–12 months, the main return is faster and more consistent deal screening because analysts can build and review models with fewer errors and less rework. Teams typically improve the quality of underwriting discussions by making assumptions transparent and by showing how leverage and exit assumptions affect returns. The training also reduces dependence on ad hoc spreadsheet structures, which can improve handoff quality between acquisitions, asset management, and investment decision-makers. In practical terms, that can lead to better-prepared bids, cleaner investment memos, and faster internal approvals.

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

Who else has attended this training course?

Join global leaders and experts from top-tier organizations who have already benefited from this training. Here are just a few of our past participants:

Designation Organization
Project Manager National Social Security Fund, Uganda
Project Manager National Social Security Fund, Uganda

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Join these industry leaders and take the next step in your career.

No. Participants usually need basic Excel confidence and a general understanding of investment concepts, but the course is designed to build the real estate model step by step. Those already working in acquisitions, asset management, or development will usually benefit most because they can apply the techniques directly to live deals.

Yes, because the core modelling logic is the same: you underwrite income, costs, leverage, and exit value, then test return outcomes. In Greece, the practical value is in adapting the model to local rent levels, financing terms, taxes, and transaction assumptions supplied by the deal team or advisers.

Participants should be able to produce an acquisition model, a return sensitivity table, a capital stack summary, and a clear recommendation backed by assumptions. Those outputs are the standard tools used to compare opportunities and support investment committee discussion.

Waterfall logic determines how cash flows and upside are split between investors and sponsors. Understanding it is essential because small modelling mistakes can materially change who receives distributions and how the deal performs at different return thresholds.

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