Seminar content

What you will learn

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.


Benefits

Why attend this seminar

  • Build current, practical knowledge in digital innovation and transformation.
  • Translate the course ideas into actions you can use immediately at work.
  • Review real schedule options across 10 venues and live dates.
  • Connect course detail, venue, and category routes in one workflow.

Methodology

How the course is delivered

  • Structured seminar input and guided discussion.
  • Applied examples using current business situations.
  • Focused explanations based on the stored overview and outline.
  • Clear next steps for implementation after the course.

Target audience

Who this is for

  • Professionals responsible for digital innovation and transformation.
  • Managers, specialists, and team leads who need applied skills.
  • Participants looking for a focused route into Data Management, Manipulation & Analysis using Excel®.

Seminar details

Detailed 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 locations

Available seminar dates

9 dates
Date City Duration Price
20 - 24 April 2026 Amsterdam - Netherlands 5 Days €4,250.- Book now
4 - 8 May 2026 London - U.K 5 Days €4,200.- Book now
15 - 19 June 2026 Istanbul - Turkey 5 Days €2,850.- Book now
20 - 24 July 2026 Vienna - Austria 5 Days €4,250.- Book now
3 - 7 August 2026 Barcelona - Spain 5 Days €3,850.- Book now
7 - 11 September 2026 Paris - France 5 Days €4,500.- Book now
12 - 16 October 2026 Frankfurt - Germany 5 Days €3,250.- Book now
9 - 13 November 2026 Barcelona - Spain 5 Days €3,850.- Book now
14 - 18 December 2026 Frankfurt - Germany 5 Days €3,250.- Book now

Course certificate

Certificate awarded on completion

Every participant who completes this seminar receives a professional course certificate from INFORAMTECH.

  • Participants receive an INFORAMTECH certificate for completing Data Management, Manipulation & Analysis using Excel®.
  • The certificate recognises attendance and successful participation in the seminar.
  • It can support professional development records within digital innovation and transformation and related functions.
Verify a certificate

Information about

Frequently asked questions

When is my seat confirmed?

Your seat is confirmed once full payment has been received.

Do you offer group discounts?

Yes, we offer the following discounts for group bookings:

  • 2 participants: 20% discount
  • 3 participants: 35% discount
  • 5 or more participants: 50% discount
Can discounts be combined with other offers?

No, discounts cannot be combined unless explicitly stated.

What payment methods do you accept?

We accept bank transfers, credit/debit cards, and selected online payment methods.

When do I need to pay?

Full payment must be completed before the course start date to secure your participation.

Is VAT included in the course fee?

VAT treatment depends on your location and status:

  • EU Companies (with valid VAT number): VAT may be reverse charged (0%)
  • EU Individuals (without VAT number): VAT is applicable based on local regulations
  • Non-EU Participants: VAT is generally not applicable (0%)
Can I get a VAT invoice?

Yes, all participants receive an official invoice. EU companies must provide a valid VAT number.

Can I cancel my registration?

Yes, cancellations must be submitted in writing.

What is your refund policy?
  • More than 14 days before the course: Full refund
  • 7-14 days before the course: 50% refund
  • Less than 7 days before the course: No refund
Can I transfer my seat to another person?

Yes, substitutions are allowed at no extra cost if requested before the course start date.

What happens if the course is postponed or canceled?

We reserve the right to reschedule or cancel a course due to unforeseen circumstances. In such cases, you may:

  • Transfer to another date
  • Receive full refund
Will I receive a certificate?

Yes, all participants will receive a certificate of completion after attending the course.

Is attendance mandatory?

Yes, full attendance is required to receive certification.

Are your courses online or in-person?

We offer both in-person and virtual (live online) training options.

Will course materials be provided?

Yes, all participants receive training materials in digital format.

Are travel and accommodation included?

No, participants are responsible for their own travel and accommodation unless otherwise stated.

Can you deliver customized or in-house training?

Yes, we offer tailored training programs based on your organization's needs.

How can I contact you for support?

You can reach us via email info@inforamtech.uk or through our contact form. Our team will respond promptly.

Testimonials

The structure of Data Management, Manipulation & Analysis using Excel® made the topic practical and easy to apply immediately.

Course participant
Digital Innovation and Transformation

The venue and date options made planning the right session straightforward.

Seminar attendee
Amsterdam - Netherlands

Clear content, relevant examples, and useful follow-up topics for the next training step.

Learning manager
Professional development

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