1. Top 5 Learning Objectives
1. Understand the essence of financial models and analyse their applications
2. Discover how to construct reliable and realistic financial models that work and are easy to review
3. Learn to measure, interpret and predict company performance using Excel modelling
4. Improve your decision making processes and save time on financial analysis
5. Be able to use Excel as an analytical tool and enhance your financial abilities
Throughout the course:
There will be a mixture of specific and general models to consider
Delegates will be introduced to a wide range of functions and formulas
As much individual attention as possible will be given to each delegate and it is the aim of the
course that new topics will not be started until delegates have mastered the previous one
Introduction
This course is an intensive two day course for financial managers and others with a need to con-
sider or use financial models. The course assumes that all delegates will have at least a basic level
of Excel knowledge and ability as it begins by using at least some intermediate level techniques and
functions.
The course will be run in the following way:
To begin with delegates will be introduced to the fundamental aspects of spread sheeting that all
financial modelers need to know:
Definition of models
Principles of financial models
Best practice and spread sheeting standards
All subsequent topics are introduced in a step by step and fully interactive way: the presenter works
through a topic and delegates work along; the delegates are then given time to explore the topic
Fully worked solutions to all examples introduced during the course will be handed over to
delegates by the end of the course
Additional examples, models and templates will be provided along with all worked examples

2. Learning Objectives
By the end of this course delegates will be able to
• Understand and apply the definitions of model, financial model and the fundamental stand-
ards of spread sheeting best practice
• Build and analyse basic financial models
• Carry out an analysis of financial performance
• Prepare and evaluate forecasts of financial and other data
• Use the What if? Techniques built into Microsoft Excel
• Use and evaluate various financial functions
• Build regression analysis models and employ them in forecasting and decision making
• Use and report on the ANOVA technique
• Create Pivot Table based reports for financial modelling
• Develop discounted cash flow models for capital budgeting decisions
• Present Excel reports that communicate effectively
Who should attend?
Financial managers Financial Analysts CFOs
Accountants Credit Managers Treasury Managers Risk Managers
Non-financial managers with financial modelling responsibilities
Aspiring financial and non-financial managers
Benefits of Attending
As a result of attending this seminar, delegates will be able to return to work and immediately apply the
tips, tricks and techniques that will be demonstrated.
Ahmed Yasir Khan is a qualified MBA (MIS) and has possesses 20 years of
diversified industry exposure in the field of finance & IT. Currently he is
working as Manager e-support in FBR. He is a member of Trainer FBR
Trained Professional Govt. sector as well as Private organization. He has
conducting in-house training also Public workshop and seminar. He is
member of Pakistan Institute of Management, and also an approved trainer
of National Productivity Organization (NPO), Government of Pakistan. He
has specialty in Import, Export, Supply Chain, E-Filling (IGM, Import, Export,
Sales Tax Return), e-Support, Income Tax, Sales tax, Customs, ERP’s &
Database (SAPR3, SAP B1 ,Microsoft Dynamics AX, Oracle e-business suite
R12 ,Oracle11g, Tally ERP, Quick book2012, Peachtree2010, Advanced Excel2010/2013, Access 2010/13, SQL
SERVER2008R2/2012).Microsoft office Application Specialist, SharePoint 2010,CBAP,PMP,ITILV3,Corporate
Finance, Analysis of Financial Statement, Strategic in Financial Management , Excel Dashboard Reporting, KPI,
Financial Planning & Budgeting, Excel VBA Programming, Financial Modeling, Process Modeling, Workflow,
computerized Accounting, Software Project Management, ERP Implementer, PMO, IT Audit, & SQA.
As part from diversified development assignment. He has been actively involved in training and teaching Profes-
sional with many Institutions as visiting faculty member, and taught thousands of Professionals. He is a trainer of
repute for his unique training style which enables maximum learning & retention in least possible time.
He trained large number of employees of prestigious organizations such as MAERSK, PAF, SSGC, KESC, BP
Pakistan, HUBCO, BOC Pakistan, WAPDA, State Bank of Pakistan, University of Karachi, IBA, NUST, Hamdard
University, Pakistan Tobacco Company, Makro, PEMRA, Philips Pakistan, Mitsubishi Corporation, TRG, State Life
Insurance, NAFA Fund, Arif Habib Ltd., MCB Bank Ltd, IGI Investment Bank, Dubai Islamic Bank, First Women
Bank, Fatima Group, Shield Corporation, Zafa Pharmaceutical, Askari Cement Ltd, Master Group, PTCL,
UNDP,ITL,PARCO, Silk Bank, Services , Hilton Pharma , Bosch , Atlas Honda , Metro , HBL , Agri Auto , Interna-
tional Textile Mills LTD , ENGRO , BYCO, MCB, Agha Khan , NBP , JS BANK, Karachi stock exchange , Abott , DP
World Karachi, Geo, SHVERION, Glaxo Smith, Punjab TV, TAPAL,BOP, HSBC, Dalda foods etc.

3. Course Outline
Basic definitions of a model, financial model and the fundamental
Standards of spread sheeting
Best practice Building and analyzing basic financial models, including
Departmental budgets
• Divisional budgets
• Project budgets
• Basic income statement and balance sheet budgets
• Cash flow budgets
Carrying out analyses of financial performance
• Ratio analysis including specific ratios for specific industries
• Common size statements
• Rates of Change ratios
Forecasts of financial and other data, including
• Production forecasts
• Sales forecasts
• Manpower planning forecasts
Use the What if? Techniques built into Microsoft Excel
• Scenario manager
• Goal Seek
• SOLVER
Regression analysis models and their use in forecasting and decision making
Pivot Table based reports for financial modeling
Discounted cash flow models for capital budgeting decisions
Regression analysis models and their use in forecasting and decision making
• Descriptive statistics
• Ordinary Least Squares
• Multiple Regression
• Correlation Matrices
The ANOVA technique
Pivot Table based reports for financial modelling
Discounted cash flow models for capital budgeting decisions
• Compounding and discounting
• Present value
• Net present value
• Internal rate of return
• Modified internal rate of return
Array Formulas for the efficient execution of models
Present Excel reports that communicate effectively
• Layout
• Colour communications
• Conditional formatting
Data validation
Scroll Bars
Various formulas
Data Tables (What-If Utility)
Goal Seek (What-If Utility)
Graphs & Charts
Macros and using different ways to run them and allocating button to Macros
Naming Names and its pros and cons
Some customization
Analysis Tool Pack
Add-ins