Microsoft Excel Training in Dubai – Beginner to Advanced

Excel Essentials (Level 1) – Course Outline

Duration: 1 Day (7 Hours Approx.)
Mode: In-Person Classroom Training
Level: Beginner
Format: Instructor-led with hands-on practice

Prerequisites:
No prior Excel experience is required. Participants should be comfortable with basic computer operations such as using a keyboard and mouse, opening files, and basic navigation.

🔹 Module 1: Getting Started with Excel

• Understanding the Excel interface: Ribbon, Workbook, Worksheets

• Customizing the Quick Access Toolbar

• Saving and organizing Excel files (XLSX, CSV, XLS)

• Opening existing files and creating new ones

🔹 Module 2: Basic Workbook & Worksheet Management

• Navigating between sheets and cells efficiently

• Inserting, deleting, renaming, and moving worksheets

• Adjusting rows, columns, and cell sizes

• Using Freeze Panes, Split View, and Zoom

🔹 Module 3: Data Entry & Editing

• Entering text, numbers, and dates correctly

• Using AutoFill and Flash Fill

• Copy, Cut, Paste, and Paste Special

• Undo, Redo, and the Excel Clipboard

🔹 Module 4: Formatting Cells for Better Presentation

• Applying fonts, colors, borders, and fill

• Number formatting (Currency, Percentage, Dates)

• Using Format Painter

• Alignments, wrapping text, and merging cells

🔹 Module 5: Introduction to Formulas & Functions

• Using the formula bar & function insert tool

• Basic arithmetic operators (+, –, *, /)

• Essential functions:

  • SUM, AVERAGE, MIN, MAX

  • COUNT, COUNTA

• Understanding relative vs absolute referencing ($A$1)

🔹 Module 6: Managing & Sorting Data

• Sorting by one or multiple columns

• Filtering data using AutoFilter

• Clearing filters and sorting

• Using Find and Replace

🔹 Module 7: Creating Basic Charts

• Choosing the right chart type (column, bar, line, pie)

• Inserting and editing a chart

• Adding data labels, titles, and legends

• Moving and resizing charts

🔹 Module 8: Introduction to Excel Tables

• Creating structured Excel tables

• Table styles and layout options

• Benefits of using tables vs raw ranges

• Sorting and filtering inside tables

🔹 Module 9: Printing & Page Setup

• Print preview and page breaks

• Setting up headers and footers

• Scaling to fit page, orientation, margins

• Printing selected areas or entire sheets

🔹 Module 10: Time-Saving Tips & Best Practices

• Keyboard shortcuts for beginners

• Common Excel do’s and don’ts

• Excel Help and online support options

📝 Guided Mini-Project

• Guided mini-project to reinforce key learning

Excel Skills Booster (Level 2) – Course Outline

Duration: 2 Days (Approx. 14 Hours Total)
Mode: In-Person Classroom Training
Level: Intermediate
Format: Instructor-led with hands-on practice

Prerequisites:
Participants should have a basic working knowledge of Excel, including formatting, simple formulas (like SUM and AVERAGE), and basic data entry and navigation. This course builds on Excel Essentials (Level 1) or equivalent experience.

🔹 Logical & Conditional Functions

• Building logical formulas using IF, AND, and OR

• Creating nested IF formulas for layered decision-making

• Combining logic with conditional formatting rules

• Real-world examples: leave approval logic, scorecard automation

🔹 Lookup & Reference Functions

• Using VLOOKUP and XLOOKUP to retrieve related data

• Understanding the difference between approximate and exact match

• Troubleshooting common errors like #N/A and #REF

• Using INDEX-MATCH for flexible two-way lookups

• Real-world example: pulling data from a master sheet into reports

🔹 Working with Multiple Worksheets

• Linking data between sheets using cell references

• Creating consolidated summary sheets using 3D formulas

• Grouping worksheets for batch formatting or printing

• Navigating and organizing large workbooks efficiently

🔹 Conditional Formatting Techniques

• Applying highlight rules for duplicates, top/bottom values, and thresholds

• Using color scales, icon sets, and data bars to visualize patterns

• Writing formulas within conditional formatting for dynamic logic

• Managing multiple rules and applying to custom ranges

🔹 Data Validation & Drop-down Lists

• Restricting user input using list-based validation

• Creating custom validation with formulas (e.g., numeric limits, text rules)

• Building dependent (cascading) dropdowns across columns

• Providing user-friendly input messages and error alerts

🔹 Smart Functions for Reporting

• Handling errors cleanly with IFERROR

• Using CHOOSE for conditional outputs or selection menus

• Ranking data with RANK, and formatting numbers with ROUND, MOD, INT

• Combining logic and math functions to structure reusable formulas

• Real-world examples: auto-generated text labels, score breakdowns

🔹 Working with Dates and Text

• Common date functions: TODAY, NOW, EOMONTH, NETWORKDAYS

• Extracting date components (DAY, MONTH, YEAR)

• Calculating project durations, working days, and aging

• Text functions: LEFT, RIGHT, MID, LEN, TRIM, TEXT

• Merging text and numbers into dynamic summaries or messages

🔹 Excel Productivity & Navigation Tools

• Using Find & Replace with wildcards and formatting options

• Grouping and outlining data for structured viewing

• Freezing panes, hiding/unhiding rows and columns

• Inserting hyperlinks for navigation or documentation

📝 Guided Project 

• Apply skills in a guided business scenario (e.g., Sales tracker, HR data sheet)

Excel Advanced (Level 3) – Course Outline

Title: Advanced Excel Pro – Data Analysis, Dashboards & Power Tools
Duration: 2 Days (Approx. 14 Hours)
Mode: In-Person Classroom Training
Level: Advanced
Format: Instructor-led with hands-on practice

Prerequisites:
Participants should have strong working knowledge of Excel formulas (including IF, VLOOKUP/XLOOKUP, and conditional formatting), experience working with large datasets, and confidence navigating multiple worksheets. Completion of Level 2 (Skills Booster) or equivalent experience is strongly recommended.

🔹 Advanced PivotTables & PivotCharts

• Creating PivotTables from large, unstructured data

• Custom sorting, grouping (manual & auto), and filtering

• Value field settings: Summarize by, Show values as (% of total, % difference)

• Using slicers and timelines to filter data interactively

• Building and customizing PivotCharts

• Drill-downs and managing field layout options

• Best practices for report-ready PivotTable design

🔹 Power Query for Data Cleaning & Transformation

• Understanding the Power Query editor

• Importing data from Excel files, folders, and CSVs

• Removing duplicates, blank rows, and unwanted columns

• Splitting columns (e.g., first/last names, codes)

• Merging queries and appending multiple tables

• Unpivoting data for PivotTable-ready structure

• Refreshing data with a single click

🔹 Advanced Formulas & Functions

• Mastering dynamic array functions: FILTER, UNIQUE, SORT, SEQUENCE

• Using INDEX-MATCH in flexible data structures

• Combining functions: SUMIFS, COUNTIFS, IFERROR, CHOOSE, INDIRECT, OFFSET

• Writing nested logic: IF inside AND/OR combinations

• Creating dynamic ranges for advanced calculations

• Scenario: Generate a report template using only formulas

🔹 Dashboard Design & Interactivity

• Planning an Excel dashboard: layout, inputs, KPIs

• Linking PivotTables and PivotCharts to slicers

• Using drop-downs and form controls for user-driven views

• Showing/hiding sections dynamically

• Using named ranges and cell references for interactivity

• Embedding summary cards, trend lines, and charts

🔹 Visual Best Practices for Reporting

• Choosing the right chart type for the message

• Customizing chart styles, axis formatting, labels, and colors

• Using conditional formatting in dashboard summaries

• Data presentation principles: declutter, simplify, highlight

• Aligning charts and visuals with stakeholder expectations

🔹 Data Modeling & Final Case

• Connecting multiple tables using relationships

• Creating a simple data model within Excel

• Using Power Query + PivotTables + formulas in a final exercise

• Build a dynamic dashboard from raw messy data

🔹Guided project – Dynamic Dashboard

• Build a dynamic dashboard from raw messy data