Data Management, Manipulation & Analysis using Excel®

Course overview

Course Introduction

Data has become more accessible than ever, generated through our daily activities, purchases, and business operations. This wealth of information offers immense potential for problem-solving and driving improvements, especially in commercial environments. Historically, addressing such challenges required advanced quantitative expertise. However, Excel—a widely available yet often underutilized tool—can effectively meet these demands. 

In the "Data Management, Manipulation & Analysis using Excel®" training course, participants will learn to leverage Excel for data querying, hypothesis testing, and solving complex problems.

By course completion, attendees will gain proficiency in over 50 Excel functions, various chart types, and an array of analysis tools, enabling them to harness data for actionable insights and informed decision-making.

Training Objectives

By attending this training course, participants will achieve the following objectives:

• Develop proficiency with over 50 Excel functions.
• Identify the most appropriate chart for specific tasks.
• Effectively manipulate both textual and numerical data.
• Conduct data analysis using suitable tools.
• Analyse relationships between variables and generate accurate forecasts.

Who should Attend?

This training course is designed for middle and senior managers responsible for divisional or organizational outcomes, as well as consultants and professionals who support them. Suitable participants include:

• Individuals with line management responsibilities.
• HR professionals.
• Engineers in the Oil and Gas, Energy, and Telecom sectors.
• Senior finance professionals.
• Board-level executives and non-executive directors.

Course outline

Day One: An Introduction to the MS Excel Environment

• Cell referencing, cell formatting and entering formula
• Workbooks versus Worksheets
• Copy and pasting
• Left click versus right click
• Paste Special
• Introductory charts

Day Two: Using MS Excel Functions for Fundamental Data Analysis

• Use of text function, FIND(), LEN(), LEFT(), RIGHT() and &
• Use of count functions, COUNTA(), COUNTIF(), COUNTIFS() and SUMIF()
• Basic statistical functions, Max and Average
• Filtering, sorting and use of conditional formatting
• Scatter diagrams

Day Three: Intermediate MS Excel Functions

• Use of VLOOKUP() and HLOOKUP()
• Date functions, YEAR(), MONTH(), DAY(), YEARFRAC()
• Selecting appropriate charts
• Introduction to Pivot tables

Day Four: Carrying out Statistical Analysis using MS Excel

• Using MS Excel to calculate mean, mode and median
• The difference between the various standard deviation and variance function in MS Excel
• Using MS Excel to examine inter-dependency
• Drawing histograms in MS Excel
• Introduction to Data Analysis functions

Day Five: What if and Scenario Analysis Using MS Excel

• Naming cells in MS Excel
• Linking cells together to undertake scenario analysis
• Introduction to solver
• Advanced charting
• Sharing MS Excel output with other office formats

Dates and fees

Dates	City	Fee
14 - 18 Dec 2026	Frankfurt, Germany	£3,250 + VAT
18 - 22 Jan 2027	Istanbul, Turkey	£2,850 + VAT
15 - 19 Feb 2027	Cape Town, South Africa	£4,250 + VAT
15 - 19 Mar 2027	Barcelona, Spain	£3,850 + VAT
19 - 23 Apr 2027	Paris, France	£4,500 + VAT
17 - 21 May 2027	Frankfurt, Germany	£3,250 + VAT
21 - 25 Jun 2027	Barcelona, Spain	£3,850 + VAT
19 - 23 Jul 2027	Frankfurt, Germany	£3,250 + VAT
16 - 20 Aug 2027	Istanbul, Turkey	£2,850 + VAT
20 - 24 Sep 2027	Vienna, Austria	£4,250 + VAT
18 - 22 Oct 2027	Barcelona, Spain	£3,850 + VAT
15 - 19 Nov 2027	Paris, France	£4,500 + VAT
20 - 24 Dec 2027	Frankfurt, Germany	£3,250 + VAT