
Excel Basics Course
Master the Excel skills that employers actually use every day. This course takes you from opening your first workbook to building formulas, formatting reports, and summarising data with PivotTables. Whether you are managing budgets, tracking projects, or cleaning up data, you will finish ready to handle real spreadsheet tasks with confidence.
What you will learn:
You will start with the Excel interface and core navigation, then move into data entry, formatting, and formula writing. You will learn essential functions like IF, VLOOKUP, SUMIF, and COUNTIF to handle everyday business calculations. The course covers sorting, filtering, and Excel Tables to keep your data organised and analysis-ready. You will build charts that clearly present your findings and use PivotTables to summarise large datasets in minutes. Along the way, you will pick up keyboard shortcuts, best practices, and habits that make your spreadsheets reliable and easy for others to use.
How you study in practice Excel Basics Course
How you practise Excel Basics Course
For companies looking to train their teams
With Dedika for Businesses, the course includes exercises and examples tailored to your own business and the specific needs of your company.
Course content
8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsGetting Started with Excel
Getting Started with Excel
Lesson 1 • Understanding Worksheets and Workbooks
Explains the relationship between workbooks and worksheets and how to manage multiple sheets. Provides structural context for organizing data across a file.
Lesson 2 • Navigating Cells and Ranges
Teaches keyboard shortcuts and mouse techniques for moving within large sheets. Efficient navigation reduces errors and speeds up all data entry tasks.
Lesson 3 • The Excel Interface Overview
Identifies every major UI element: ribbon, formula bar, sheet tabs, and status bar. Establishes spatial awareness needed for all subsequent tasks.
Lesson 4 • Opening and Saving Workbooks
Covers creating new files, opening existing ones, and saving in multiple formats. Prevents data loss and ensures file compatibility from day one.
Chapter 2HideHide detailsSee detailsEntering and Editing Data
Entering and Editing Data
Lesson 1 • Filling Data Automatically
Introduces Flash Fill and the fill handle for series, patterns, and repeated values. Automation reduces manual entry time and minimizes transcription errors.
Lesson 2 • Copying, Cutting, and Pasting Data
Explains clipboard operations and Paste Special options for values, formats, and transposing. Efficient data movement is essential for building structured spreadsheets.
Lesson 3 • Inserting and Deleting Rows and Columns
Covers structural edits: inserting, deleting, and hiding rows and columns. Proper structure management keeps data organized as spreadsheets grow.
Lesson 4 • Typing Data into Cells
Covers entering text, numbers, and dates and understanding how Excel interprets each type. Correct entry prevents formula errors introduced in later chapters.
Lesson 5 • Editing and Deleting Cell Content
Teaches in-cell editing, clearing content vs. deleting cells, and using Undo. Accurate editing is prerequisite to reliable data and formula work.
Chapter 3HideHide detailsSee detailsFormatting Cells and Worksheets
Formatting Cells and Worksheets
Lesson 1 • Formatting Dates and Times
Explains date serial numbers and how to apply custom date and time display formats. Correct date formatting prevents misinterpretation in reports and calculations.
Lesson 2 • Conditional Formatting Fundamentals
Introduces rules that automatically change cell appearance based on values. Conditional formatting surfaces trends and exceptions without manual inspection.
Lesson 3 • Formatting Text and Numbers
Covers font styles, sizes, bold, italic, and number formats including currency and percentages. Proper formatting communicates data meaning without altering underlying values.
Lesson 4 • Cell Alignment and Orientation
Teaches horizontal and vertical alignment, text wrapping, and cell merging. Alignment ensures data is legible and tables are visually structured.
Lesson 5 • Borders, Shading, and Cell Styles
Applies borders, fill colors, and built-in cell styles to differentiate data regions. Visual hierarchy guides readers through complex spreadsheets efficiently.
Chapter 4HideHide detailsSee detailsWriting Basic Formulas
Writing Basic Formulas
Lesson 1 • Auditing and Tracing Formulas
Uses trace precedents, dependents, and the Evaluate Formula tool to inspect calculations. Auditing skills ensure formula logic is correct before sharing a file.
Lesson 2 • Cell References in Formulas
Distinguishes relative, absolute, and mixed references and when to use each. Reference types determine how formulas behave when copied across a sheet.
Lesson 3 • Using Basic Math Functions
Introduces SUM, AVERAGE, MIN, MAX, and COUNT for common calculations. These functions handle the majority of everyday numerical analysis tasks.
Lesson 4 • Understanding Formula Errors
Identifies common error types such as #DIV/0!, #VALUE!, and #REF! and their causes. Recognizing errors enables faster debugging and more trustworthy spreadsheets.
Lesson 5 • Formula Syntax and Structure
Explains the equals sign, operators, and order of operations in Excel formulas. Correct syntax is the foundation for every calculation built in later chapters.
Chapter 5HideHide detailsSee detailsWorking with Essential Functions
Working with Essential Functions
Lesson 1 • Statistical and Conditional Functions
Applies COUNTIF, SUMIF, AVERAGEIF, and their multi-criteria variants for filtered aggregation. These functions replace manual filtering for summary calculations.
Lesson 2 • Date and Time Functions
Covers TODAY, NOW, DATEDIF, YEAR, MONTH, and DAY for date-based calculations. Date functions enable deadline tracking, aging reports, and scheduling automation.
Lesson 3 • Lookup Functions for Finding Data
Introduces VLOOKUP, HLOOKUP, and INDEX-MATCH for retrieving values from tables. Lookup functions eliminate manual searching and reduce copy-paste errors.
Lesson 4 • Logical Functions for Decision Making
Covers IF, AND, OR, and NOT to build conditional logic into formulas. Logical functions automate decisions that would otherwise require manual data review.
Lesson 5 • Text Functions for Data Cleaning
This section teaches the use of TRIM, UPPER, LOWER, PROPER, CONCATENATE, and LEN functions for manipulating text data, as cleaning text data is a prerequisite for accurate lookups and BI reporting.
Chapter 6HideHide detailsSee detailsOrganizing Data with Tables and Sorting
Organizing Data with Tables and Sorting
Lesson 1 • Converting Data to Excel Tables
Explains how to format a range as an Excel Table and the benefits of structured references. Tables auto-expand and simplify formula writing across the dataset.
Lesson 2 • Sorting Data Effectively
Covers single-column and multi-level sorting by value, color, or custom list. Correct sorting order is essential before applying filters or building reports.
Lesson 3 • Removing Duplicates and Validating Data
Uses Remove Duplicates and Data Validation to maintain clean, consistent datasets. Data integrity at entry prevents downstream errors in formulas and reports.
Lesson 4 • Using Slicers for Visual Filtering
Adds slicers to tables for interactive, button-based filtering of data. Slicers make filtering accessible to non-technical users reviewing shared workbooks.
Lesson 5 • Filtering Data with AutoFilter
Applies AutoFilter to display subsets of data based on text, number, and date criteria. Filtering isolates relevant records without deleting or moving data.
Chapter 7HideHide detailsSee detailsCreating and Customizing Charts
Creating and Customizing Charts
Lesson 1 • Dynamic Charts with Tables and Named Ranges
Links charts to Excel Tables or named ranges so they update automatically with new data. Dynamic charts eliminate manual updates when source data changes.
Lesson 2 • Choosing the Right Chart Type
Explains when to use column, bar, line, pie, and scatter charts based on data relationships. Selecting the correct chart type prevents misleading visual representations.
Lesson 3 • Applying Chart Styles and Colors
Uses built-in chart styles, color themes, and manual fill options to match branding. Consistent visual style increases credibility of reports and presentations.
Lesson 4 • Formatting Chart Elements
Customizes titles, axes, legends, gridlines, and data labels for clarity. Well-labeled charts communicate findings without requiring additional explanation.
Lesson 5 • Creating Charts from Data
Walks through selecting data and inserting charts using the Insert tab and quick keys. Proper data selection determines whether a chart renders correctly.
Chapter 8HideHide detailsSee detailsPivotTables and Data Summarization
PivotTables and Data Summarization
Lesson 1 • Filtering and Grouping PivotTable Data
Applies report filters, slicers, and date grouping to focus PivotTable output. Grouping dates by month or quarter enables period-over-period comparisons.
Lesson 2 • Introduction to PivotTables
Explains PivotTable purpose, data requirements, and the field list interface. Understanding the layout before building prevents structural errors in summaries.
Lesson 3 • Refreshing and Formatting PivotTables
Covers refreshing data, changing PivotTable styles, and adjusting layout options. Proper formatting makes PivotTable output presentation-ready without extra steps.
Lesson 4 • Summarizing Values and Calculations
Changes value field settings to sum, count, average, or show percentages of totals. Choosing the right calculation type ensures the summary answers the right question.
Lesson 5 • Building and Arranging PivotTable Fields
Drags fields into rows, columns, and values areas to create meaningful cross-tabulations. Field arrangement directly controls the summary view produced.
Your valid completion certificate
This course is for you:
Office administrators: who handle records, schedules, or reports on a daily basis without having received formal training.
Individuals who are changing their career and require spreadsheet skills to qualify for business or analyst positions.
Small business owners who track expenses, inventory, or sales in disorganised documents.
Students who desire a practical advantage before entering a data-driven job market.
Coordinators and project assistants, who manage task lists and timelines across multiple teams.
Freelancers who need to present financial data or client reports in a professional format.
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