ExcelGuru

Excel Function

The Excel Function archives at excelguru.io deliver practical, example-driven tutorials designed to help you move beyond basic formulas. This collection focuses on how to apply essential functions to real-world tasks, featuring in-depth guides on modern lookup tools like XLOOKUP and INDEX MATCH, conditional logic with IFS, COUNTIFS, and SUMIFS, as well as powerful data analysis functions such as SUMPRODUCT and FILTER. Each guide provides clear syntax breakdowns, side-by-side comparisons, and ready-to-copy formulas suitable for every Excel version from 2003 to Microsoft 365.

Whether you need to calculate employee tenure with DATEDIF, build dynamic reports that spill results automatically, or clean up messy spreadsheets using IFERROR, these tutorials offer step-by-step solutions. The content addresses common pain points like nested IF complexity, VLOOKUP limitations, and multi-condition aggregations, ensuring you can handle tasks ranging from commission tiers and grade scales to payroll sheets and date-based grouping—all without relying on helper columns or VBA.

Designed for business professionals, data analysts, and Excel users at all skill levels, this archive transforms how you work with data. Each post includes sample datasets, practical use cases, and expert tips to help you build cleaner, more efficient spreadsheets. Explore the full collection to master the functions that drive accurate reporting, streamlined workflows, and confident data analysis.

CONFIDENCE.NORM function in Excel tutorial showing confidence interval calculation normal distribution standard deviation sample size and margin of error

CONFIDENCE.NORM: Calculate Confidence Intervals for Population Mean

Learn how to calculate confidence intervals in Excel using the CONFIDENCE.NORM function. This tutorial explains the function syntax, significance level, population standard deviation, sample size, margin of error, and practical examples for estimating confidence intervals. You’ll also learn how to interpret the results and apply confidence intervals to business analysis, quality control, research, finance, and statistical reporting. Ideal for students, analysts, researchers, statisticians, and Excel users working with sample data and statistical analysis.

CHISQ.TEST function in Excel tutorial showing chi-square test observed versus expected values p-value calculation and statistical analysis

CHISQ.TEST: Chi‑Square Test for Independence & Goodness of Fit

Master the CHISQ.TEST function in Excel to determine whether observed data differs significantly from expected results. This tutorial explains the CHISQ.TEST syntax, required inputs, practical examples, interpretation of p-values, common errors, and best practices. You’ll also learn how to use the function for goodness-of-fit tests, tests of independence, contingency tables, hypothesis testing, and statistical data analysis. Ideal for students, researchers, analysts, statisticians, finance professionals, and Excel users working with categorical data and inferential statistics.

F.DIST and F.INV functions in Excel tutorial showing F-distribution probability calculations critical values ANOVA hypothesis testing and statistical analysis

F.DIST & F.INV: F‑Distribution for ANOVA & Variance Analysis

Master the F.DIST and F.INV functions in Excel to analyse data using the F-distribution. This tutorial explains the syntax, function arguments, cumulative and probability density calculations, inverse F-distribution, degrees of freedom, practical examples, and common errors. You’ll also learn how to apply these functions for ANOVA, variance comparison, hypothesis testing, confidence intervals, and statistical modelling. Ideal for students, analysts, researchers, statisticians, finance professionals, and Excel users working with inferential statistics and advanced data analysis.

T.DIST and T.INV functions in Excel tutorial showing Student's t-distribution probability calculations critical values hypothesis testing and statistical analysis

T.DIST & T.INV: Student’s T‑Distribution for Hypothesis Testing

Master the T.DIST and T.INV functions in Excel to perform statistical analysis using Student’s t-distribution. This tutorial explains the syntax, function arguments, cumulative and probability density calculations, inverse t-distribution, degrees of freedom, practical examples, and common errors. You’ll also learn how to apply these functions for hypothesis testing, confidence intervals, significance testing, quality control, and research analysis. Ideal for students, analysts, researchers, statisticians, finance professionals, and Excel users working with statistical models and inferential data analysis.

NORM.DIST and NORM.INV functions in Excel tutorial showing normal distribution probability calculations inverse values statistics and data analysis

NORM.DIST & NORM.INV: Normal Distribution & Z‑Scores Made Easy

Master the NORM.DIST and NORM.INV functions in Excel to perform statistical analysis using the normal distribution. This tutorial explains the syntax, arguments, cumulative and probability density calculations, inverse normal distribution, practical examples, and common errors. You’ll also learn how to apply these functions for quality control, financial modelling, hypothesis testing, risk analysis, and probability calculations. Ideal for students, analysts, statisticians, researchers, finance professionals, and Excel users working with statistical data and predictive models.

MINVERSE function in Excel tutorial showing inverse matrix calculation syntax examples matrix operations and linear algebra

MINVERSE: Compute Inverse Matrix for Solving Equations

Understand how to calculate inverse matrices in Excel using the MINVERSE function. This tutorial explains the MINVERSE syntax, matrix requirements, dynamic array behaviour, common errors, and practical applications in solving linear equations and mathematical models. You’ll also learn how to combine MINVERSE with MMULT and other matrix functions to perform advanced calculations directly in Excel. Ideal for students, engineers, analysts, researchers, and Excel users working with matrix operations, data modelling, and quantitative analysis.

MMULT function in Excel tutorial showing matrix multiplication syntax dynamic arrays matrix functions and linear algebra calculations

MMULT Function: Matrix Multiplication in Excel (Linear Algebra)

Master the MMULT function in Excel to perform matrix multiplication for mathematical, engineering, financial, and statistical calculations. This tutorial explains the MMULT syntax, matrix size requirements, dynamic array behavior, practical examples, and common errors such as mismatched dimensions. You’ll also learn how to combine MMULT with MTRANS, MINVERSE, MDETERM, and other matrix functions to solve advanced linear algebra problems efficiently. Ideal for students, engineers, analysts, researchers, finance professionals, and Excel users working with matrix operations and mathematical models.

MDETERM function in Excel tutorial showing matrix determinant calculation syntax examples matrix functions and linear algebra

MDETERM: Calculate Matrix Determinant for Advanced Math Models

Master the MDETERM function in Excel to calculate the determinant of square matrices for mathematical, engineering, and statistical applications. This tutorial explains the MDETERM syntax, input requirements, supported matrix sizes, common errors, and practical examples. You’ll also learn how to combine MDETERM with MINVERSE, MMULT, and other matrix functions to solve advanced linear algebra problems directly in Excel. Ideal for students, engineers, analysts, researchers, and Excel users working with matrices and mathematical models.

TRANSPOSE function in Excel tutorial showing how to switch rows and columns using dynamic arrays formulas and data transformation

TRANSPOSE Function: Switch Rows to Columns (Dynamic Array vs Legacy)

Master the TRANSPOSE function in Excel to quickly convert rows into columns and columns into rows without manually rearranging data. This tutorial explains the TRANSPOSE syntax, dynamic array behavior in modern Excel, practical examples, common errors, and how to combine TRANSPOSE with other Excel functions for more powerful data analysis. You’ll also learn when to use Paste Special versus the TRANSPOSE function and how to create dynamic reports that automatically update as source data changes. Ideal for Excel beginners, analysts, accountants, students, and professionals working with structured datasets.

Break-even analysis in Excel tutorial showing contribution margin fixed costs variable costs break-even point and profitability charts

Break-Even Analysis in Excel: Free Calculator & Scenario Planner

Understand when your business becomes profitable with this practical Break-Even Analysis in Excel tutorial. Learn how to calculate fixed costs, variable costs, contribution margin, break-even units, break-even sales revenue, and profit scenarios using Excel formulas and charts. You’ll also discover how to build dynamic break-even models, perform sensitivity analysis, and visualize profitability with interactive graphs. Ideal for business owners, finance professionals, accountants, entrepreneurs, students, and Excel users who want to make informed pricing and financial planning decisions.

Reorder point and safety stock in Excel tutorial showing inventory planning formulas lead time demand forecasting and stock management

Reorder Point & Safety Stock in Excel (Free Inventory Tool)

Optimize inventory management by calculating reorder points and safety stock in Excel. This tutorial explains how to determine average demand, lead time, safety stock, and reorder points using practical formulas and real-world examples. You’ll also learn how to account for demand variability, avoid stockouts, maintain optimal inventory levels, and build dynamic inventory planning models with charts and dashboards. Ideal for inventory managers, warehouse teams, retailers, manufacturers, supply chain professionals, and Excel users responsible for inventory control.

Cash flow forecasting in Excel tutorial showing projected cash inflows outflows balances financial planning and forecasting charts

Cash-Flow Forecasting in Excel: Know Your Runway (Free Tool)

Build accurate cash flow forecasts in Excel with this practical step-by-step tutorial. Learn how to project cash inflows and outflows, calculate opening and closing balances, model different financial scenarios, identify potential cash shortages, and create charts for better financial visibility. You’ll also discover best practices for forecasting, updating assumptions, and maintaining reliable cash flow models. Ideal for business owners, finance professionals, accountants, analysts, start-ups, and Excel users who want to improve budgeting, liquidity management, and financial decision-making.