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Microsoft Excel Data Analysis and Business Modeling


This training will enable participants to master business modeling and analysis techniques with Microsoft Excel, and transform data into bottom-line results. The course will be delivered using hands on, scenario-focused approach inorder to helps you use Excel’s newest tools for business decision making.


5 days


By the end of this training, participants will be able to:

  • Quickly transition from Excel basics to sophisticated analytics
  • Summarize data by using PivotTables and Descriptive Statistics
  • Use Excel trend curves, multiple regression, and exponential smoothing
  • Master advanced functions such as OFFSET and INDIRECT
  • Delve into key financial, statistical, and time functions
  • Leverage the new charts in Excel (including box and whisker and waterfall charts)
  • Make charts more effective by using Power View
  • Tame complex optimizations by using Excel Solver
  • Run Monte Carlo simulations on stock prices and bidding models
  • Work with the AGGREGATE function and table slicers
  • Create PivotTables from data in different worksheets or workbooks
  • Learn about basic probability and Bayes’ Theorem
  • Automate repetitive tasks by using macros


Day 1:

  • Basic spreadsheet modelling
  • Range names
  • Lookup functions
  • The INDEX function
  • The MATCH function
  • Text functions
  • Dates and date functions
  • Evaluating investments by using net present value criteria
  • Internal rate of return
  • Other excel financial functions
  • Circular references
  • IF statements
  • Time and time functions
  • The paste special command
  • Three-dimensional formulas and hyperlinks
  • The auditing tool
  • Sensitivity analysis with data tables
  • The Goal Seek command
  • Using the Scenario Manager for sensitivity analysis

 Day 2:

  • The OFFSET function
  • The INDIRECT function
  • Conditional formatting
  • Sorting in Excel
  • Tables
  • Spin buttons, scroll bars, option buttons, check boxes, combo boxes and group list boxes
  • The analytics resolution
  • An introduction to optimization with Excel solver
  • Using Solver to schedule your workforce
  • Using Solver to solve transportation or distribution problems
  • Using Solver for capital budgeting
  • Using Solver for financial planning
  • Using Solver to rate sports teams
  • Warehouse location and the GRG Multistart and evolutionary Solver engines

 Day 3:

  • Penalties and the Evolutionary Solver
  • The traveling salesperson problem
  • Importing data from a text file or document
  • Validating data
  • Summarizing data by using histograms and Pareto charts
  • Summarizing data by using descriptive
  • Using PivotTables and slicers to describe data
  • The Data Model
  • Power Pivot
  • Power View and 3D Maps
  • Sparklines
  • Summarizing data with database statistical functions
  • Filtering data and removing duplicates
  • Consolidating data
  • Creating subtotals
  • Charting tricks

 Day 4:

  • Estimating straight-line relationships
  • Modeling exponential growth
  • The power curve
  • Using correlations to summarize relationships
  • Introduction to multiple regression
  • Incorporating qualitative factors into multiple regression
  • Modeling nonlinearities and interactions
  • Analysis of variance: One-way ANO VA
  • Randomized blocks and two-way ANO VA
  • Using moving averages to understand time series
  • Winters method
  • Ratio-to-moving-average forecast method
  • Forecasting in the presence of special events
  • An introduction to probability
  • An introduction to random variables
  • The binomial hypergeometric and negative binomial random variables
  • The Poisson and exponential random variable
  • The normal random variable and Z-scores
  • Weibull and beta distributions: Modeling machine life and duration of a project
  • Making probability statements from forecasts
  • Using the lognormal random variable to model stock prices
  • Introduction to Monte Carlo simulation
  • Calculating an optimal bid

Day 5:

  • Simulating stock prices and asset-allocation modeling
  • Fun and games: Simulating gambling and sporting-event probabilities
  • Using resampling to analyze data
  • Pricing stock options
  • Determining customer value
  • The economic order quantity inventory model
  • Inventory modeling with uncertain demand
  • Queuing theory: The mathematics of waiting in line
  • Estimating a demand curve
  • Pricing products by using tie-ins
  • Pricing products by using subjectively determined demand
  • Nonlinear pricing
  • Array formulas and functions
  • Recording macros


Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.


The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.


Upon successful completion of this training, participants will be issued with an Indepth Research Servithces (IRES) certificate.


The training is residential and will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.


Accommodation is arranged upon request. For reservations contact the Training Officer.

Email:This email address is being protected from spambots. You need JavaScript enabled to view it..  

Mob: +254 715 077 817

Tel: 020 211 3814


This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814 or mailThis email address is being protected from spambots. You need JavaScript enabled to view it.


Payment should be transferred to IRES account through bank on or before C.O.B 15th July 2019.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.


Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

1.     Participants may cancel attendance 14 days or more prior to the training commencement date.

2.     No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Duration 5 Days
Event Date 22-07-2019
Event End Date 26-07-2019
Cut off date 15-07-2019
Individual Price(Kenyan) KES 69,000
Individual Price (International) EUR 790
Individual Price(International in Dollars) USD 920
Location Nairobi, Kenya
We are no longer accepting registration for this event
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