Analyse Data in Excel to Make Business Decisions l Training Course

Gain practical, real-world statistical analysis skills using Microsoft Excel

This practical 2-day Analyse Data in Excel to Make Business Decisions course is designed to equip intermediate Excel users with the knowledge and skill to analyse large data sets and uncover useful information.

In today’s fast-paced world, it is critical that business decisions are made quickly and accurately to maintain a competitive edge. The quality of decisions made often depend on the analyst’s ability to recognise trends, patterns, relationships, and other useful information from raw data.

This Analyse Data in Excel course will illustrate the various types of proven analysis methods used by professionals to arrive at informed business decisions. You learn how to optimise workbook models with "what-if" analysis, apply basic financial functions, interpret data using PivotTables and visualise reports effectively using pivot charts.

If you are looking to gain practical, real-world statistical analysis skills using Microsoft Excel, this Analyse Data in Excel to Make Business Decisions class is perfect for you.


To get the most out of this Analyse Data in Excel class, you should have attended our Excel Intermediate course, or have gained similar knowledge in the workplace. Specifically, you should be familiar with formulae and functions, be able to work with large amounts of data, and with multiple worksheets and workbooks.

Why take this course?

Analyse large data sets quickly - Applying the skills used in this course will enable you to harness the power of Microsoft Excel to analyse large amounts of raw data and quickly identify patterns.

Improve your data presentations – You will gain the knowledge and skills to build more sophisticated spreadsheets, allowing you to present data accurately and attractively.

Flexibility – Business owners and employees that can effectively analyse data are able to quickly adapt to current market trends and maintain a competitive edge.

Who should take this course?

  • Anyone who uses Excel to plan, assess risk and make business decisions based on statistical analysis
  • Anyone who wants to expand their knowledge of intermediate and advanced features in Excel.
  • Individuals aspiring to achieve Microsoft Office Specialist (MOS) certification in Microsoft Excel.


2 days

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2-Day Course Content

  • Deciphering and correcting functions for data integrity
  • Accurately interpreting calculations
  • Implementing names to enhance your workbook model
  • Monitoring KPIs using conditional formatting
  • Identifying the correct statistical function to aid analysis
  • Applying basic financial functions
  • Differentiating serial dates and date presentations
  • Calculating the number of working days
  • Interpreting data variations with the IF function
  • Streamlining calculations with referencing
  • Developing nested functions for multiple conditions
  • Capturing information with lookup functions
  • Applying techniques to implement and troubleshoot nested calculations
  • Managing variables in worksheets with scenarios
  • Comparing different data sets with scenarios reports
  • Determining the magnitude of a variable with goal seek to achieve an end value
  • Calculating the optimum variable values in a worksheet model with solver
  • Arranging multiple workbooks with workspaces managing external links.
  • Building 3D formulas to analyse worksheet data
  • Summarising multiple sources of Excel information into one worksheet
  • Managing multiple data sets on a single worksheet with the table feature
  • Defining an Excel data set to ensure appropriate use of built-in features
  • Extracting unique lists of records from an Excel data set with the advanced filter
  • Analysing data sets with filters and aggregation
  • Defining data summaries interactively
  • Summarising data sets with grouping and aggregation
  • Comparing related totals dynamically filtering details with report filters and slicers
  • Presenting pivot table reports effectively with pivot charts
  • Examining data patterns with sparklines
  • Analysing multiple tables of data with power pivots
  • Discovering and presenting information with power view
  • Simplifying complex tasks and reducing errors
  • Bulletproofing routine editing and formatting
  • Invoking macros with form controls