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The aim of the course is to enable you to apply best practice Excel techniques to produce a robust business model for the evaluation of investment opportunities.
Specifically the course will enable you to:
This is an introductory course for anyone producing Excel based financial analysis and insight for decision makers. Although the course specifically refers to investment appraisal, it is also an excellent introduction to financial modelling techniques.
Computer Requirements:You must bring a PC laptop equipped with Excel 2007/2010/2013/2016/2019 to this course. We do not recommend Apple products.A set of model examples will be used during the course and shared with you via USB. Please contact us in advance if your laptop does not have a USB port.On line support is available after the course for continued dialogue with the tutor.
Competency requirements:Delegates should be able to construct an =IF statement in Excel before attending this course
In response to the ever-changing business landscape ICAEW Academy has discounted their new range of virtual learning, to support all accountants worldwide. See below, for your new discounted price.
Discounts are automatically applied at the checkout.
Introduction to the Course
Model Structure and Construction
Audit and Checking of Validity
Our public course programme is deliberately structured to encourage delegates from different organisations to participate. However, if you have six or more delegates who require development in the same area, we are able to run a more cost-effective and much wider range of courses tailored specifically to your organisation.
These are ideal for organisations seeking hassle-free, flexible and cost-effective training delivered to multiple delegates at your location of choice. Whether we use our existing materials or develop new content for your business, our expertise lies in translating your requirements into a pragmatic, interactive training programme highly relevant to your people and organisation.To discuss in-house training for your business please email Academy or call +44 (0)20 7920 8813.
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