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A Quick Guide to Excel Tables and Functions Course
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A Quick Guide to Excel Tables and Functions Course

Stop wrestling with messy spreadsheets and start working smarter with Excel. This course walks you through tables, essential functions, and dynamic formulas that turn raw data into clear, actionable results. From VLOOKUP to XLOOKUP, SUMIFS to PivotTables, every skill you build here applies directly to real work.

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What you'll learn:

  • Build structured Excel Tables with sorting, filtering, and automatic formula expansion.

  • Write structured reference formulas that update dynamically as table data changes.

  • Apply lookup functions — including XLOOKUP and INDEX-MATCH — for flexible data retrieval.

  • Use conditional aggregation functions like SUMIFS and COUNTIFS to generate summary metrics.

  • Configure PivotTables with slicers and timelines for interactive, stakeholder-ready reports.

  • Use dynamic array functions such as FILTER, UNIQUE, and SORT to automate data tasks.

How you study in practice A Quick Guide to Excel Tables and Functions Course

How you practise A Quick Guide to Excel Tables and Functions Course

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Course content

8 Chapters • 36 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Excel Interface and Workbook Basics

  • Lesson 1 • Workbook and Worksheet Management

    Teaches creating, saving, and organising workbooks and sheets. Proper file management prevents data loss and supports structured project workflows.

  • Lesson 2 • Cell Referencing and Navigation

    Explains absolute, relative, and mixed references alongside navigation shortcuts. Reference mastery is critical for writing formulas correctly in later chapters.

  • Lesson 3 • Entering and Editing Cell Data

    Introduces data types, cell editing techniques, and AutoFill. Accurate data entry is the prerequisite for reliable table and formula results.

  • Lesson 4 • Navigating the Excel Ribbon

    Covers ribbon tabs, groups, and command locations essential for efficient workflow. Establishes spatial familiarity that accelerates all subsequent skill-building.

Chapter 2See details

Creating and Formatting Excel Tables

  • Lesson 1 • Converting Data Ranges to Tables

    Demonstrates how to select a range and apply the Table format using Insert or Ctrl+T. Students understand why tables outperform plain ranges for dynamic data.

  • Lesson 2 • Table Naming and Design Options

    Covers assigning meaningful table names and using the Table Design tab. Named tables enable cleaner formulas and easier cross-sheet references.

  • Lesson 3 • Managing Table Rows and Columns

    Teaches inserting, deleting, and resizing table rows and columns dynamically. Structural edits automatically extend formulas and formatting across the table.

  • Lesson 4 • Applying and Customising Table Styles

    Explores built-in style gallery and custom style creation for professional presentation. Consistent styling improves readability and aligns with organisational standards.

  • Lesson 5 • Sorting and Filtering Table Data

    Uses built-in AutoFilter dropdowns and multi-level sort to organise table data. Filtering skills are foundational for data analysis tasks in later chapters.

Chapter 3See details

Structured References in Tables

  • Lesson 1 • Writing Formulas Inside Table Columns

    Demonstrates entering formulas in calculated columns that auto-fill to all rows. Calculated columns eliminate repetitive formula entry and reduce errors.

  • Lesson 2 • Cross-Table and External References

    Explains referencing one table from another sheet or workbook using structured syntax. Cross-table references support multi-table data models used in advanced analysis.

  • Lesson 3 • Understanding Structured Reference Syntax

    Introduces the TableName[ColumnName] notation and its components. Structured references replace cell addresses, making formulas readable and automatically adjustable.

  • Lesson 4 • Special Item Specifiers

    Covers #Headers, #Totals, #Data, and #All specifiers for targeting table sections. These specifiers enable precise formula scope without manual range selection.

Chapter 4See details

Core Excel Functions for Data Work

  • Lesson 1 • Date and Time Functions

    Introduces TODAY, NOW, DATE, YEAR, MONTH, DAY, DATEDIF, and NETWORKDAYS for temporal calculations. Date functions enable deadline tracking and duration reporting.

  • Lesson 2 • Error Handling Functions

    Explains IFERROR, IFNA, and ISERROR to trap and manage formula errors gracefully. Error handling prevents broken dashboards and misleading outputs in shared workbooks.

  • Lesson 3 • Logical Functions and Conditionals

    Covers IF, AND, OR, NOT, and nested IF logic for decision-based outputs. Logical functions drive automated categorisation and flag-based reporting in tables.

  • Lesson 4 • Text Manipulation Functions

    Teaches LEFT, RIGHT, MID, LEN, TRIM, CONCATENATE, and TEXTJOIN for string operations. Text functions clean and reshape imported data before analysis.

  • Lesson 5 • Mathematical and Statistical Functions

    Covers SUM, AVERAGE, COUNT, MIN, MAX, and ROUND for numeric analysis. These functions form the computational backbone of nearly every Excel workbook.

Chapter 5See details

Lookup and Reference Functions

  • Lesson 1 • XLOOKUP for Modern Data Retrieval

    Introduces XLOOKUP as the successor to VLOOKUP with built-in error handling and flexible return arrays. Students adopt the current best-practice lookup function.

  • Lesson 2 • VLOOKUP and HLOOKUP Fundamentals

    Teaches vertical and horizontal lookup syntax, match types, and common pitfalls. VLOOKUP remains the most requested lookup skill in professional Excel environments.

  • Lesson 3 • INDEX and MATCH for Flexible Lookups

    Combines INDEX and MATCH to overcome VLOOKUP column-order restrictions. This pairing enables left-side lookups and multi-criteria retrieval in complex tables.

  • Lesson 4 • MATCH, CHOOSE, and INDIRECT Functions

    Covers MATCH for position finding, CHOOSE for value selection, and INDIRECT for dynamic range references. These functions extend lookup flexibility in table-driven models.

Chapter 6See details

Conditional Aggregation Functions

  • Lesson 1 • SUMIF and COUNTIF Essentials

    Teaches single-criterion sum and count functions with range, criteria, and sum-range arguments. These functions answer the most common business aggregation questions quickly.

  • Lesson 2 • AVERAGEIF and AVERAGEIFS

    Applies conditional averaging to measure performance metrics filtered by one or more criteria. Conditional averages reveal segment-level insights hidden in raw totals.

  • Lesson 3 • SUMIFS and COUNTIFS for Multiple Criteria

    Extends single-criterion functions to handle two or more simultaneous conditions. Multi-criteria aggregation replaces complex nested IF formulas in reporting workflows.

  • Lesson 4 • MAXIFS, MINIFS, and Advanced Aggregation

    Covers conditional maximum and minimum functions alongside SUBTOTAL for filtered table views. These functions complete the conditional aggregation toolkit for professional reporting.

Chapter 7See details

PivotTables Linked to Excel Tables

  • Lesson 1 • Refreshing and Maintaining PivotTables

    Explains manual and automatic refresh, source range updates, and PivotTable cache management. Reliable refresh workflows prevent stale data in shared reports.

  • Lesson 2 • Configuring Value Field Settings

    Teaches sum, count, average, and percentage summary types within value fields. Correct value settings ensure PivotTable metrics match intended business calculations.

  • Lesson 3 • Creating a PivotTable from a Table

    Walks through inserting a PivotTable using a named table as the source. Table-sourced PivotTables expand automatically when new rows are added to the source.

  • Lesson 4 • Slicers and Timelines for Interactivity

    Adds slicers and timeline controls to enable one-click filtering of PivotTable data. Visual filters make PivotTable reports accessible to non-technical stakeholders.

  • Lesson 5 • Grouping and Filtering PivotTable Data

    Covers date grouping, manual grouping, and Report Filter placement for interactive analysis. Grouping transforms raw date fields into meaningful time-period summaries.

Chapter 8See details

Advanced Functions and Dynamic Arrays

  • Lesson 1 • LET and LAMBDA for Formula Reuse

    Introduces LET for naming intermediate calculations and LAMBDA for creating custom reusable functions. These tools reduce formula complexity and enable formula-level code reuse.

  • Lesson 2 • UNIQUE and SEQUENCE Functions

    Extracts distinct values with UNIQUE and generates number series with SEQUENCE for dynamic lists. Both functions eliminate manual deduplication and series-entry tasks.

  • Lesson 3 • TEXTSPLIT, TEXTBEFORE, and TEXTAFTER

    Splits and extracts text strings dynamically without helper columns using modern text functions. These functions handle messy imported data that legacy text functions cannot parse cleanly.

  • Lesson 4 • Introduction to Dynamic Array Behaviour

    Explains spill ranges, the spill operator (#), and how dynamic arrays differ from legacy array formulas. Understanding spill behaviour is prerequisite for all functions in this chapter.

  • Lesson 5 • FILTER and SORT Functions

    Uses FILTER to extract matching rows and SORT to order spill results dynamically. These functions replace manual filter-copy workflows with live, formula-driven outputs.

Certification

Your valid completion certificate

This course is for you:

  • Administrative professional: needs faster, more reliable ways to manage recurring reports.

  • Small business owner: wants to track finances and operations without hiring analysts.

  • Recent graduate: building job-ready Excel skills before entering a competitive workforce.

  • Career changer: moving into data, operations, or finance from an unrelated background.

  • Project coordinator: struggling to consolidate team data from multiple sources efficiently.

  • Marketing analyst: ready to move beyond basic tallies into conditional and lookup formulas.

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