Data Analysis & Business Modelling

This course is ideal for anyone looking to enhance their analytical and problem-solving skills, particularly in business and finance. It is well-suited for:

• Business professionals seeking to improve their data-driven decision-making capabilities.
• Managers and team leaders who want to apply quantitative techniques to optimize operations, forecasting, and inventory management.
• Data analysts and financial analysts looking to sharpen their understanding of Excel and its application in various mathematical models.
• Students in business, economics, or related fields who want to gain practical skills in data analysis and modeling.
• Entrepreneurs who need to understand mathematical and statistical tools for better business planning and strategy development.

This course is organized over 5 days in the month of April and September in London, UK. Venue will be communicated to each participant upon confirmation of participation. Please call us or write to us for more details 

In this course, you’ll not only master strong fundamental and advance Excel modelling skills but also gain a solid understanding of essential mathematical concepts, all in an engaging and accessible way. You'll explore topics such as statistics, forecasting, optimization models, Monte Carlo simulation, inventory management, and the mathematics behind queuing theory. Additionally, you'll dive into contemporary business strategies, including real options, customer value, and advanced pricing models, equipping you with the tools to apply these concepts in real-world scenarios. 

• 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
• More Excel Financial Functions
• Circular References
• IF Statements
• Time and Time Functions
• The Paste Special Command

• The Auditing Tool
• Sensitivity Analysis with Data Tables
• The Goal Seek Command
• Using the Scenario Manager for Sensitivity Analysis
• The COUNTIF, COUNTIFS, COUNT, COUNTA, and  COUNTBLANK Functions
• The SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS  Functions
• 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
• An Introduction to Optimization with Excel Solver
• Using Solver to Determine the Optimal Product Mix
• 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
• Penalties and the Evolutionary Solver
• The Traveling Salesperson Problem
• Importing Data from a Text File or Document
• Importing Data from the Internet
• Validating Data
• Summarizing Data by Using Histograms
• Summarizing Data by Using Descriptive Statistics
• Using PivotTables and Slicers to Describe Data
• Sparklines
• Summarizing Data with Database Statistical Functions
• Filtering Data and Removing Duplicates
• Consolidating Data
• Creating Subtotals
• Estimating Straight Line Relationships
• Modelling 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 ANOVA
• Rndomized Blocks and Two-Way ANOVA
• Using Moving Averages to Understand Time Series
• Winters’s Method
• Ratio-to-Moving-Average Forecast Method
• Forecasting in the Presence of Special Events
• An Introduction to Random Variables
• The Binomial, Hypergeometric, and Negative Binomial  Random Variables
• The Poisson and Exponential Random Variable
• The Normal Random Variable
• 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
• 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
• PowerPivot

The five day course costs £ 2,500 inclusive of all taxes. For every additional participant each delegates gets 25% discount. The above does not include travel, lodging and food.

We also offer this course as part of one month summer internship program for interested students.