Data Management, Manipulation and Analysis using Excel Course

BMC Training proudly offers the Data Management, Manipulation, and Analysis using Excel Course as part of our comprehensive Management and Leadership Courses. This course is designed to equip professionals with the critical skills needed to effectively manage, manipulate, and analyze data using Excel. Whether you’re looking to sharpen your data handling techniques or gain insights that drive decision-making, this course provides the practical knowledge and tools to excel in today’s data-driven world. Join us to elevate your proficiency in Excel and transform data into actionable insights. BMC Training offers Data Management, Manipulation and Analysis using Excel Course in Management and Leadership Courses.

  • English
  • 98 Training Sessions
  • Confirmed
  • One Week
Data Management, Manipulation and Analysis using Excel Training Course

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Berlin , Germany 26 - Oct - 2025 30 - Oct - 2025 7900 GBP
New York , United States 26 - Oct - 2025 30 - Oct - 2025 10900 GBP
Milan , Italy 26 - Oct - 2025 30 - Oct - 2025 6950 GBP
Amsterdam , Netherlands 26 - Oct - 2025 30 - Oct - 2025 8100 GBP
Istanbul , Turkey 5 - Oct - 2025 9 - Oct - 2025 4700 GBP
Bali , Indonesia 5 - Oct - 2025 9 - Oct - 2025 8100 GBP
Singapore , Singapore 5 - Oct - 2025 9 - Oct - 2025 7500 GBP
Washington , United States 5 - Oct - 2025 9 - Oct - 2025 11000 GBP
Dubai , UAE 12 - Oct - 2025 16 - Oct - 2025 4987.5 GBP
Paris , France 12 - Oct - 2025 16 - Oct - 2025 6700 GBP
Hong Kong , Hong Kong 12 - Oct - 2025 16 - Oct - 2025 8500 GBP
Tokyo , Japan 12 - Oct - 2025 16 - Oct - 2025 9750 GBP
London , UK 12 - Oct - 2025 16 - Oct - 2025 4950 GBP
Madrid , Spain 12 - Oct - 2025 16 - Oct - 2025 6950 GBP
Munich , Germany 12 - Oct - 2025 16 - Oct - 2025 7900 GBP
Berlin , Germany 12 - Oct - 2025 16 - Oct - 2025 7900 GBP
New York , United States 12 - Oct - 2025 16 - Oct - 2025 10900 GBP
Amsterdam , Netherlands 12 - Oct - 2025 16 - Oct - 2025 8100 GBP
Milan , Italy 12 - Oct - 2025 16 - Oct - 2025 6950 GBP
Sydney , Australia 19 - Oct - 2025 23 - Oct - 2025 10900 GBP
Interlaken , Switzerland 19 - Oct - 2025 23 - Oct - 2025 8950 GBP
Taipei , Taiwan 5 - Oct - 2025 9 - Oct - 2025 9300 GBP
Geneva , Switzerland 12 - Oct - 2025 16 - Oct - 2025 8950 GBP
Kuala Lumpur , Malaysia 16 - Nov - 2025 20 - Nov - 2025 4750 GBP
Rome , Italy 16 - Nov - 2025 20 - Nov - 2025 7300 GBP
Barcelona , Spain 16 - Nov - 2025 20 - Nov - 2025 6950 GBP
Zurich , Switzerland 16 - Nov - 2025 20 - Nov - 2025 7950 GBP
Kuala Lumpur , Malaysia 23 - Nov - 2025 27 - Nov - 2025 4750 GBP
Rome , Italy 23 - Nov - 2025 27 - Nov - 2025 7300 GBP
Barcelona , Spain 23 - Nov - 2025 27 - Nov - 2025 6950 GBP
Zurich , Switzerland 23 - Nov - 2025 27 - Nov - 2025 7950 GBP
London , UK 2 - Nov - 2025 6 - Nov - 2025 4950 GBP
Madrid , Spain 2 - Nov - 2025 6 - Nov - 2025 6950 GBP
Munich , Germany 2 - Nov - 2025 6 - Nov - 2025 7900 GBP
Berlin , Germany 2 - Nov - 2025 6 - Nov - 2025 7900 GBP
New York , United States 2 - Nov - 2025 6 - Nov - 2025 10900 GBP
Milan , Italy 2 - Nov - 2025 6 - Nov - 2025 6950 GBP
Dubai , UAE 9 - Nov - 2025 13 - Nov - 2025 4987.5 GBP
Paris , France 9 - Nov - 2025 13 - Nov - 2025 6700 GBP
Hong Kong , Hong Kong 9 - Nov - 2025 13 - Nov - 2025 8500 GBP
Tokyo , Japan 9 - Nov - 2025 13 - Nov - 2025 9750 GBP
Amsterdam , Netherlands 2 - Nov - 2025 6 - Nov - 2025 8100 GBP
London , UK 23 - Nov - 2025 27 - Nov - 2025 4950 GBP
Madrid , Spain 23 - Nov - 2025 27 - Nov - 2025 6950 GBP
Munich , Germany 23 - Nov - 2025 27 - Nov - 2025 7900 GBP
Berlin , Germany 23 - Nov - 2025 27 - Nov - 2025 7900 GBP
New York , United States 23 - Nov - 2025 27 - Nov - 2025 10900 GBP
Amsterdam , Netherlands 23 - Nov - 2025 27 - Nov - 2025 8100 GBP
Milan , Italy 23 - Nov - 2025 27 - Nov - 2025 6950 GBP
London , UK 16 - Nov - 2025 20 - Nov - 2025 4950 GBP
Madrid , Spain 16 - Nov - 2025 20 - Nov - 2025 6950 GBP
Munich , Germany 16 - Nov - 2025 20 - Nov - 2025 7900 GBP
Berlin , Germany 16 - Nov - 2025 20 - Nov - 2025 7900 GBP
New York , United States 16 - Nov - 2025 20 - Nov - 2025 10900 GBP
Amsterdam , Netherlands 16 - Nov - 2025 20 - Nov - 2025 8100 GBP
Milan , Italy 16 - Nov - 2025 20 - Nov - 2025 6950 GBP
Sydney , Australia 16 - Nov - 2025 20 - Nov - 2025 10900 GBP
Interlaken , Switzerland 16 - Nov - 2025 20 - Nov - 2025 8950 GBP
Sydney , Australia 23 - Nov - 2025 27 - Nov - 2025 10900 GBP
Interlaken , Switzerland 23 - Nov - 2025 27 - Nov - 2025 8950 GBP
Geneva , Switzerland 9 - Nov - 2025 13 - Nov - 2025 8950 GBP
Kuala Lumpur , Malaysia 21 - Dec - 2025 25 - Dec - 2025 4750 GBP
Rome , Italy 21 - Dec - 2025 25 - Dec - 2025 7300 GBP
Barcelona , Spain 21 - Dec - 2025 25 - Dec - 2025 6950 GBP
Zurich , Switzerland 21 - Dec - 2025 25 - Dec - 2025 7950 GBP
London , UK 28 - Dec - 2025 1 - Jan - 2026 4950 GBP
Madrid , Spain 28 - Dec - 2025 1 - Jan - 2026 6950 GBP
Munich , Germany 28 - Dec - 2025 1 - Jan - 2026 7900 GBP
Berlin , Germany 28 - Dec - 2025 1 - Jan - 2026 7900 GBP
New York , United States 28 - Dec - 2025 1 - Jan - 2026 10900 GBP
Milan , Italy 28 - Dec - 2025 1 - Jan - 2026 6950 GBP
Amsterdam , Netherlands 28 - Dec - 2025 1 - Jan - 2026 8100 GBP
Istanbul , Turkey 14 - Dec - 2025 18 - Dec - 2025 4700 GBP
Bali , Indonesia 14 - Dec - 2025 18 - Dec - 2025 8100 GBP
Singapore , Singapore 14 - Dec - 2025 18 - Dec - 2025 7500 GBP
Washington , United States 14 - Dec - 2025 18 - Dec - 2025 11000 GBP
Dubai , UAE 7 - Dec - 2025 11 - Dec - 2025 4987.5 GBP
Paris , France 7 - Dec - 2025 11 - Dec - 2025 6700 GBP
Hong Kong , Hong Kong 7 - Dec - 2025 11 - Dec - 2025 8500 GBP
Tokyo , Japan 7 - Dec - 2025 11 - Dec - 2025 9750 GBP
London , UK 7 - Dec - 2025 11 - Dec - 2025 4950 GBP
Madrid , Spain 7 - Dec - 2025 11 - Dec - 2025 6950 GBP
Munich , Germany 7 - Dec - 2025 11 - Dec - 2025 7900 GBP
Berlin , Germany 7 - Dec - 2025 11 - Dec - 2025 7900 GBP
New York , United States 7 - Dec - 2025 11 - Dec - 2025 10900 GBP
Amsterdam , Netherlands 7 - Dec - 2025 11 - Dec - 2025 8100 GBP
Milan , Italy 7 - Dec - 2025 11 - Dec - 2025 6950 GBP
Sydney , Australia 21 - Dec - 2025 25 - Dec - 2025 10900 GBP
Interlaken , Switzerland 21 - Dec - 2025 25 - Dec - 2025 8950 GBP
Taipei , Taiwan 14 - Dec - 2025 18 - Dec - 2025 9300 GBP
Geneva , Switzerland 7 - Dec - 2025 11 - Dec - 2025 8950 GBP

Course Syllabus

Introduction

This course is aimed at professionals who have, or will soon have, responsibility for managing and manipulating data using MS Excel on a day to day basis.  The course assumes zero knowledge, begins with an introduction to the Excel environment and ends with delegates being skilled in using 50+ MS Excel functions, sophisticated data management and charting techniques and advanced data analysis capability.

Do you still think that Excel is a tool that is used only by people in your company’s finance department?If so, you are wrong. It does have fantastic financial modeling capability but it offers so much more than that. Excel is not reserved for financial data. Everyone in middle to senior management manages some kind of data and hence the need to attend this course.

This course will feature:

  • Advanced data analysis
  • Both textual and numerical data
  • Forecasting
  • Advanced charting
  • Scenario analysis

objectives

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

  • Analyse relationships across information and data using MS Excel.
  • Generate data forecast susing MS Excel.
  • Organise your company’s data in a more structured manner.
  • Analyse your data effectively using various MS Excel techniques.
  • Select the appropriate chart for your data.

Contents

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

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