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Professional Excel Course
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Professional Excel Course

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Master Excel from the ground up and build the spreadsheet skills employers actually look for. This course covers everything from core formulas and PivotTables to Power Query, VBA macros, and financial modelling. Whether you're cleaning up data or building executive dashboards, you'll finish ready to work faster and smarter.

Dedika for students

What your team will master:

You'll start with Excel fundamentals and quickly move into formulas, functions, and data management techniques used in real workplaces every day. You'll learn how to analyse large datasets with PivotTables, automate repetitive tasks with macros, and build charts and dashboards that make your reports stand out. The course also covers Power Query for data transformation, Power Pivot for advanced modelling, and statistical tools for data-driven decisions. By the end, you'll have a complete, professional-grade Excel skill set ready to apply immediately.

How your team learns in practice Professional Excel Course

How your team practises Professional Excel Course

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ActemiumFR
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Course content

8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Excel Interface and Workbook Fundamentals

  • Lesson 1 • Navigating the Excel Environment

    Covers the Ribbon, Quick Access Toolbar, and worksheet navigation shortcuts. Establishes spatial awareness of the interface as the foundation for all subsequent tasks.

  • Lesson 2 • Printing and Page Layout Basics

    Covers print area setup, page orientation, and headers and footers. Prepares students to produce clean, professional printed or exported outputs.

  • Lesson 3 • Workbook and Worksheet Management

    Teaches creating, saving, and organising workbooks and sheets. Proper file management prevents data loss and supports professional collaboration.

  • Lesson 4 • Entering and Editing Cell Data

    Covers text, number, and date entry with editing techniques. Accurate data entry is the prerequisite for every formula and analysis task in the course.

  • Lesson 5 • Cell Referencing Essentials

    Introduces relative, absolute, and mixed cell references. Understanding reference types is critical before building any formula or copying calculations.

Chapter 2See details

Formatting Data for Professional Presentation

  • Lesson 1 • Conditional Formatting Techniques

    Applies rules-based formatting to highlight trends, outliers, and thresholds. Conditional formatting adds analytical value without requiring formulas.

  • Lesson 2 • Excel Tables and Structured References

    Converts ranges to Excel Tables for automatic formatting and structured references. Tables streamline data management and formula writing throughout the course.

  • Lesson 3 • Row, Column, and Sheet Formatting

    Covers adjusting row height, column width, hiding, and grouping. Structural formatting controls how data is displayed and navigated across large sheets.

  • Lesson 4 • Number and Date Formatting

    Teaches built-in and custom number formats for currency, percentages, and dates. Correct formatting ensures data is interpreted accurately by all readers.

  • Lesson 5 • Cell Formatting Fundamentals

    Covers font, alignment, borders, and fill colour options. These tools transform raw data into readable, professional-looking spreadsheets.

Chapter 3See details

Core Formulas and Functions

  • Lesson 1 • Date and Time Functions

    Covers TODAY, NOW, DATEDIF, EDATE, and NETWORKDAYS. Date functions automate time-based calculations common in project tracking and reporting.

  • Lesson 2 • Logical Functions and Conditionals

    Covers IF, AND, OR, NOT, and nested logic structures. Logical functions enable dynamic, decision-driven outputs essential for business reporting.

  • Lesson 3 • Formula Construction and Operators

    Covers formula syntax, arithmetic operators, and operator precedence. A solid understanding of formula structure prevents errors in all subsequent function work.

  • Lesson 4 • Text Functions for Data Cleaning

    Teaches LEFT, RIGHT, MID, TRIM, CONCATENATE, and TEXT. Text functions are critical for cleaning imported data and standardising formats.

  • Lesson 5 • Essential Maths and Statistical Functions

    Teaches SUM, AVERAGE, COUNT, MIN, MAX, and ROUND. These functions handle the majority of quantitative calculations in professional spreadsheets.

Chapter 4See details

Lookup and Reference Functions

  • Lesson 1 • INDEX and MATCH Combination

    Covers INDEX and MATCH individually, then combined as a flexible lookup pair. This combination overcomes VLOOKUP's column-order limitations in complex models.

  • Lesson 2 • VLOOKUP and HLOOKUP Fundamentals

    Teaches vertical and horizontal lookup syntax, match types, and common errors. These functions are the most widely used retrieval tools in professional Excel work.

  • Lesson 3 • Conditional Aggregation Functions

    Teaches SUMIF, COUNTIF, AVERAGEIF, and their multi-criteria variants. These functions aggregate data by condition, replacing manual filtering for reporting tasks.

  • Lesson 4 • XLOOKUP for Modern Retrieval

    Introduces XLOOKUP syntax, default values, and search modes. XLOOKUP replaces older lookup functions with simpler, more powerful syntax in modern Excel versions.

  • Lesson 5 • Dynamic Array Functions

    Covers FILTER, SORT, UNIQUE, and SEQUENCE as spill-range functions. Dynamic arrays automate list generation and replace complex legacy array formulas.

Chapter 5See details

Data Management and Analysis Tools

  • Lesson 1 • Subtotals and Grouping

    Teaches the Subtotal tool, outline levels, and grouped summary views. Subtotals provide quick hierarchical summaries without building full pivot tables.

  • Lesson 2 • Sorting and Filtering Data

    Covers single and multi-level sorting, AutoFilter, and custom filter criteria. Sorting and filtering are the first steps in any data exploration or reporting workflow.

  • Lesson 3 • What-If Analysis Tools

    Covers Goal Seek, Scenario Manager, and one- and two-variable data tables. What-if tools enable rapid sensitivity analysis for business decision modelling.

  • Lesson 4 • Data Validation and Input Controls

    Teaches dropdown lists, numeric constraints, and custom validation rules. Validation prevents entry errors at the source, protecting downstream analysis accuracy.

  • Lesson 5 • Removing Duplicates and Cleaning Data

    Covers Remove Duplicates, Text to Columns, and data cleaning workflows. Clean data is a prerequisite for accurate pivot tables, charts, and formula outputs.

Chapter 6See details

Data Visualisation and Charting

  • Lesson 1 • Chart Fundamentals and Type Selection

    Covers chart anatomy, insertion methods, and matching chart types to data. Choosing the right chart type is the most critical decision in effective data visualisation.

  • Lesson 2 • Dynamic Charts with Named Ranges

    Teaches dynamic chart ranges using named ranges and OFFSET or table references. Dynamic charts update automatically as data grows, eliminating manual chart maintenance.

  • Lesson 3 • Formatting Charts for Clarity

    Teaches axis formatting, data labels, titles, and legend placement. Proper formatting removes ambiguity and ensures charts are self-explanatory to any audience.

  • Lesson 4 • Dashboard Design Principles

    Covers layout planning, chart alignment, colour palettes, and removing chart clutter. Applying design principles produces dashboards that communicate insights at a glance.

  • Lesson 5 • Advanced Chart Types

    Covers scatter plots, histograms, waterfall, and sparklines for specialised analysis. Advanced chart types reveal patterns that standard bar and line charts cannot show.

Chapter 7See details

PivotTables and PivotCharts

  • Lesson 1 • Summarising and Grouping PivotData

    Teaches value field settings, grouping dates and numbers, and calculated fields. These tools transform raw aggregations into meaningful business summaries.

  • Lesson 2 • PivotTable Design and Layout Options

    Teaches compact, outline, and tabular layouts, plus style customisation. Consistent design ensures PivotTable reports meet professional presentation standards.

  • Lesson 3 • Creating and Customising PivotCharts

    Covers inserting PivotCharts, chart type selection, and formatting linked to PivotTables. PivotCharts extend PivotTable analysis into visual executive summaries.

  • Lesson 4 • Filtering PivotTables with Slicers

    Covers report filters, slicers, and timelines for interactive data exploration. Slicers and timelines make PivotTable reports intuitive for non-technical stakeholders.

  • Lesson 5 • Building Your First PivotTable

    Covers source data requirements, PivotTable creation, and field placement. A well-structured source dataset is the foundation of every reliable PivotTable report.

Chapter 8See details

Automation with Macros and VBA Basics

  • Lesson 1 • Recording and Running Macros

    Covers the macro recorder, relative vs. absolute recording, and running macros. Recording is the fastest entry point to automation without writing code manually.

  • Lesson 2 • VBA Variables, Data Types, and Logic

    Covers Dim statements, data types, If-Then-Else, and For-Next loops. These programming fundamentals enable writing flexible, condition-driven automation routines.

  • Lesson 3 • Working with Ranges and Worksheets in VBA

    Teaches Range, Cells, and Worksheet objects for reading and writing data. Manipulating ranges programmatically is the core skill for spreadsheet automation.

  • Lesson 4 • Introduction to the VBA Editor

    Teaches the VBA IDE layout, modules, and reading recorded code. Understanding the editor is essential before writing or modifying any VBA procedure.

  • Lesson 5 • Building User-Friendly Macro Tools

    Covers assigning macros to buttons, input boxes, and message boxes. User-friendly interfaces make macros accessible to colleagues who do not write code.

Certification

Your valid completion certificate

This course is for you:

  • Administrative professionals: who handle reports but lack structured Excel training.

  • Recent graduates: entering the workforce and needing competitive spreadsheet skills.

  • Small business owners: managing finances and operations without dedicated analysts.

  • Career changers: moving into data, finance, or operations roles requiring Excel fluency.

  • Project managers: who track budgets and timelines across complex, multi-team workbooks.

  • Accountants and bookkeepers: ready to move beyond basic spreadsheets into advanced tools.

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