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Advanced Decision Analysis with Portfolio and Project Modeling - ADA - In House Training

PetroSkills
Course summary
5 days
Worldwide
Next available date: Enquire for details - Worldwide
Corporate Training for Teams

Course description

Advanced Decision Analysis with Portfolio and Project Modeling - ADA

Quality forecasts and evaluations depend upon well-designed project and portfolio models that are based upon clear decision policy, sound professional judgments, and a good decision process. In this course participants learn to build good models. We use the familiar Microsoft Excel spreadsheet as the platform for project and risk assessment models. Add-in software provides Monte Carlo and decision tree capabilities.

The course emphasis is on the evaluation concepts and techniques, rather than particular software programs.

Suitability - Who should attend?

Evaluation engineers, analysts, managers, planners, and economists. This course is intended for professionals involved with developing project evaluation, portfolio, and other forecasting and assessment models. Prior background in decision analysis is expected. Before registering, please visit http://www.decisionapplications.com/ada-pre-read/ to review a course prerequisites list and to take a short self-assessment quiz. You may login using 'ada' (no quotes) as the password.

About provider

PetroSkills - Oil & Gas Training Courses

PetroSkills was founded in 2001 as an alliance between BP, Shell and OGCI, aiming to accomplish a mission of vital importance for the future of the Oil & Gas industry. PetroSkills provide high quality professional training and courses that are...


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Contact info

PetroSkills

Tulsa

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www.petroskills.com


Outcome

You will learn how to:

Frame, build, and evaluate decision models and extract key insights; Apply the exponential utility function for risk policy; Design investment portfolio optimization models that include constraints, requirements, and typical interrelationships between projects; Use decision tree software for value of imperfect information analysis; Use Monte Carlo simulation software with optimization; Develop quality Excel models for projects and portfolios

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