Reading Predictive Model Outputs for Non-Technical Professionals Training Course
Teaches non-technical managers to read predictive model outputs, probabilities, confidence levels and accuracy measures, and use them in decisions.
5 Days·Classroom
Builds the skills to turn business assumptions into financial and operational models, test scenarios against value drivers and compare options.
Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy
The Financial & Operational Scenario Modeling Training Course is an advanced practical programme designed to equip finance professionals, managers, business leaders, and decision-makers with the skills required to build, evaluate, and interpret financial and operational scenarios for stronger planning and strategic decision-making. The course focuses on how organizations can model different business conditions, assess their potential financial and operational impact, and compare alternative courses of action. Participants will explore scenario planning across revenues, costs, cash flow, profitability, capacity, resources, demand, operational performance, and investment decisions. Participants will learn how to translate business assumptions into structured scenario models, develop base, upside, downside, and stress scenarios, perform sensitivity analysis, identify critical value drivers, and assess the potential consequences of changing market, operational, and financial conditions. Through practical exercises and realistic business cases, participants will develop the ability to use scenario models as decision-support tools, communicate scenario results to senior management, evaluate risks and opportunities, and build flexible models that support budgeting, forecasting, strategic planning, investment decisions, and business resilience.
Course Outline
Selected date
Barcelona · 1 – 5 Mar 2027 · Classroom
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| City | Dates | Price per Participant | Early Bird | |
|---|---|---|---|---|
Kuala LumpurScheduled | 2 – 6 Nov 2026 | €4,400 | — | |
LisbonScheduled | 9 – 13 Nov 2026 | €5,400 | — | |
LondonScheduled | 16 – 20 Nov 2026 | €5,600 | — | |
MadinahScheduled | 23 – 27 Nov 2026 | €4,200 | €3,780until 2 Nov | |
MadridScheduled | 23 – 27 Nov 2026 | €5,400 | €4,860until 2 Nov | |
MakkahScheduled | 30 Nov – 4 Dec 2026 | €4,200 | €3,780until 9 Nov | |
ManamaScheduled | 7 – 11 Dec 2026 | €4,700 | €4,230until 16 Nov | |
MarrakeshScheduled | 14 – 18 Dec 2026 | €4,300 | €3,870until 23 Nov | |
MilanScheduled | 21 – 25 Dec 2026 | €6,000 | €5,400until 30 Nov | |
MunichScheduled | 28 Dec 2026 – 1 Jan 2027 | €5,400 | €4,860until 7 Dec | |
MuscatScheduled | 4 – 8 Jan 2027 | €5,300 | €4,770until 14 Dec | |
OnlineScheduled | 10 – 14 Jan 2027 | €1,700 | €1,530until 21 Dec | |
ParisScheduled | 11 – 15 Jan 2027 | €5,700 | €5,130until 21 Dec | |
RabatScheduled | 18 – 22 Jan 2027 | €4,300 | €3,870until 28 Dec | |
RiyadhScheduled | 25 – 29 Jan 2027 | €4,200 | €3,780until 4 Jan | |
RomeScheduled | 1 – 5 Feb 2027 | €5,800 | €5,220until 11 Jan | |
ViennaScheduled | 8 – 12 Feb 2027 | €5,700 | €5,130until 18 Jan | |
AmmanScheduled | 14 – 18 Feb 2027 | €3,100 | €2,790until 25 Jan | |
BakuScheduled | 22 – 26 Feb 2027 | €4,800 | €4,320until 1 Feb | |
AmsterdamScheduled | 22 – 26 Feb 2027 | €5,400 | €4,860until 1 Feb | |
BarcelonaScheduled | 1 – 5 Mar 2027 | €5,400 | €4,860until 8 Feb | |
BerlinScheduled | 8 – 12 Mar 2027 | €5,800 | €5,220until 15 Feb | |
CairoScheduled | 15 – 19 Mar 2027 | €3,300 | €2,970until 22 Feb | |
CasablancaScheduled | 22 – 26 Mar 2027 | €4,300 | €3,870until 1 Mar | |
DammamScheduled | 29 Mar – 2 Apr 2027 | €4,200 | €3,780until 8 Mar | |
DohaScheduled | 5 – 9 Apr 2027 | €4,400 | €3,960until 15 Mar | |
DubaiScheduled | 11 – 15 Apr 2027 | €4,400 | €3,960until 22 Mar | |
FrankfurtScheduled | 12 – 16 Apr 2027 | €5,800 | €5,220until 22 Mar | |
GenevaScheduled | 19 – 23 Apr 2027 | €6,300 | €5,670until 29 Mar | |
IstanbulScheduled | 26 – 30 Apr 2027 | €4,700 | €4,230until 5 Apr |
Available in: Istanbul · Dubai · London · Riyadh · Doha · Amsterdam
Teaches non-technical managers to read predictive model outputs, probabilities, confidence levels and accuracy measures, and use them in decisions.
5 Days·Classroom
Helps managers judge when algorithm and AI outputs can be trusted, spotting bias, poor data and uncertainty and knowing when human judgment must prevail.
5 Days·Classroom
Builds forecasting skills for time-ordered data, from trend and seasonality to exponential smoothing and ARIMA models that support reliable planning.
5 Days·Classroom
Speak with our advisors about upcoming programmes or a bespoke corporate training plan.