Data Management, Manipulation & Analysis using Excel
| Start Date | End Date | Venue | Fees (US $) | ||
|---|---|---|---|---|---|
| Data Management, Manipulation & Analysis using Excel | 19 Jul 2026 | 23 Jul 2026 | Dubai, UAE | $ 3,900 | Register |
| Data Management, Manipulation & Analysis using Excel | 13 Sept 2026 | 17 Sept 2026 | Riyadh, KSA | $ 3,900 | Register |
| Data Management, Manipulation & Analysis using Excel | 06 Dec 2026 | 10 Dec 2026 | Istanbul, Turkey | $ 4,500 | Register |
Data Management, Manipulation & Analysis using Excel
| Start Date | End Date | Venue | Fees (US $) | |
|---|---|---|---|---|
| Data Management, Manipulation & Analysis using Excel | 19 Jul 2026 | 23 Jul 2026 | Dubai, UAE | $ 3,900 |
| Data Management, Manipulation & Analysis using Excel | 13 Sept 2026 | 17 Sept 2026 | Riyadh, KSA | $ 3,900 |
| Data Management, Manipulation & Analysis using Excel | 06 Dec 2026 | 10 Dec 2026 | Istanbul, Turkey | $ 4,500 |
Introduction
The Data Management Training Course offers professionals a comprehensive pathway to master data manipulation and data analysis using Excel®. In today’s data-driven world, effective management and interpretation of data are essential skills for decision-making and operational success. This course provides step-by-step guidance, starting with the basics of the Excel environment and progressing to advanced techniques for managing, analyzing, and visualizing data. Whether you're a beginner or someone looking to refine your Excel skills, this Data Analysis using Excel Course ensures participants gain proficiency in using over 50 MS Excel functions, advanced charting methods, and forecasting techniques. By the end of this course, you'll be able to transform raw data into actionable insights, making Excel a powerful tool for your professional tasks.
This Training Course Will Feature:
- Hands-on training in advanced data analysis techniques using MS Excel.
- Mastery of both textual and numerical data management.
- Forecasting methods and scenario analysis for strategic planning.
- Advanced charting techniques to represent data effectively.
- Real-world applications of data manipulation and management.
Objectives
- Understand and analyze relationships within data using advanced MS Excel tools.
- Create accurate data forecasts to support business planning.
- Organize and structure company data for improved accessibility and usability.
- Utilize MS Excel techniques to analyze data effectively and derive insights.
- Select and create appropriate charts to communicate data visually and impactfully.
By completing this Data Manipulation Training Course, participants will:
Training Methodology
This Data Analysis using Excel Course employs proven adult learning techniques to ensure maximum retention and application of knowledge. Participants will experience:
- Incremental Learning: Each session builds on prior knowledge, ensuring a structured learning approach.
- Hands-On Exercises: Practical exercises aligned with real-world scenarios for immediate application.
- Thematic Focus: Sessions divided into specific themes to systematically explore various Excel functionalities.
- Customized Learning: Delegates are encouraged to bring their own laptops (Windows or Mac OS) to work in their familiar environment and version of Excel.
With interactive and practical sessions, participants will leave the course equipped to harness the full potential of Excel for managing and analyzing data effectively.
Who Should Attend?
This Data Management Training Course is tailored for a wide range of professionals who handle data in their daily roles, including:
- Administrators working at basic levels of MS Excel, aiming to enhance their skills.
- New Administrative Staff with little to no prior knowledge of MS Excel.
- HR Professionals seeking to manage and analyze employee or inventory data.
- Employees in oil and gas, telecommunications, and electricity industries looking to improve data representation and reporting.
- Any professional responsible for managing and interpreting data using MS Excel.
Course Outline
Day 1: 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 2: 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 3: Intermediate MS Excel Functions
- Use of VLOOKUP and HLOOKUP
- Date functions, YEAR, MONTH, DAY, YEARFRAC
- Selecting appropriate charts
- Introduction to Pivot tables
Day 4: 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 5: 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

