Tag: excel formulas guide

  • 100 Excel Formulas with Real-Life Examples (Office Use Cases for MIS, Accounting, HR & Data Analysis)

    In today’s data-driven workplace, mastering Excel formulas is no longer optional—it is a core skill. Whether you are working in MIS, accounting, HR, sales, or operations, Excel helps automate tasks, reduce errors, and improve decision-making. This guide on 100 Excel formulas with real-life office use cases will help you understand how these functions are applied in practical scenarios.

    If you are someone who works with reports, dashboards, or large datasets, this article will act as a complete reference to boost your productivity.


    Why Excel Formulas Are Important in Office Work

    Excel formulas help professionals:

    • Save up to 60–80% time in repetitive tasks
    • Reduce manual errors in calculations
    • Automate reports and dashboards
    • Analyze large datasets efficiently
    • Improve decision-making using data insights

    Studies show that professionals with strong Excel skills earn 20–30% higher salaries in data-related roles.


    Categories of Excel Formulas Covered

    To make learning easier, we have divided formulas into:

    • Basic & Arithmetic
    • Logical Functions
    • Lookup & Reference
    • Text Functions
    • Date & Time Functions
    • Financial Functions
    • Advanced & Dynamic Functions

    1. Basic & Arithmetic Excel Formulas (Office Use Cases)

    Commonly Used Formulas

    FormulaReal-Life Example
    SUMCalculate total sales of a month
    AVERAGEFind average employee salary
    COUNTCount number of invoices
    MAXFind highest sales value
    MINFind lowest expense
    ROUNDRound off financial values
    ABSGet positive difference in accounts
    PRODUCTMultiply quantities and price
    MODCalculate remainder in stock division
    POWERCalculate compound growth

    Example:

    If a sales executive wants to calculate total revenue:

    =SUM(B2:B50)

    2. Logical Functions (Decision Making in Business)

    FormulaReal-Life Example
    IFCheck if target achieved or not
    IFERRORAvoid errors in reports
    ANDMultiple condition validation
    ORFlexible condition checking
    NOTReverse logical result
    IFSMultiple conditions evaluation

    Example:

    =IF(B2>=50000,"Target Achieved","Not Achieved")

    Used in sales performance tracking.


    3. Lookup & Reference Functions (Most Important for Office Jobs)

    These are the backbone of MIS and reporting.

    FormulaReal-Life Example
    VLOOKUPFetch employee details
    HLOOKUPRetrieve horizontal data
    INDEXExtract data from table
    MATCHFind position of value
    XLOOKUPAdvanced lookup function
    LOOKUPBasic data retrieval
    OFFSETDynamic data reference

    Example:

    =VLOOKUP(A2,Sheet2!A:B,2,FALSE)

    Used for employee data retrieval, pricing, GST reports, etc.


    4. Text Functions (Data Cleaning & Formatting)

    FormulaReal-Life Example
    LEFTExtract first name
    RIGHTExtract last digits of phone
    MIDExtract middle characters
    LENCount characters in text
    TRIMRemove extra spaces
    CONCATCombine multiple fields
    UPPERConvert text to uppercase
    LOWERConvert to lowercase
    PROPERFormat names properly

    Example:

    =TRIM(A2)

    Used in cleaning imported data from software like Tally or CRM.


    5. Date & Time Functions (HR & Accounting Use)

    FormulaReal-Life Example
    TODAYCurrent date in reports
    NOWTimestamp logging
    DATECreate specific date
    DATEDIFCalculate employee experience
    EOMONTHMonth-end calculations
    NETWORKDAYSWorking days calculation
    WORKDAYDeadline calculation

    Example:

    =NETWORKDAYS(A2,B2)

    Used in salary calculation and attendance tracking.


    6. Financial Functions (Accounting & Business)

    FormulaReal-Life Example
    PMTEMI calculation
    FVFuture investment value
    PVPresent value
    RATEInterest rate calculation
    NPVProject profitability
    IRRInvestment return

    Example:

    =PMT(10%/12,60,-500000)

    Used in loan calculations and budgeting.


    7. Advanced Excel Formulas (High-Level Office Work)

    These are essential for professionals working in MIS and data analysis.

    FormulaReal-Life Example
    FILTERExtract specific data
    SORTSort data dynamically
    UNIQUERemove duplicates
    SEQUENCEGenerate series
    INDIRECTDynamic referencing
    SUMIFConditional sum
    COUNTIFConditional count
    AVERAGEIFConditional average

    Example:

    =SUMIF(A:A,"Sales",B:B)

    Used in department-wise reporting.


    8. 100 Excel Formulas List (Quick Reference)

    Here is a complete list of 100 formulas:

    SUM, AVERAGE, COUNT, COUNTA, MAX, MIN, ROUND, ROUNDUP, ROUNDDOWN, ABS, MOD, POWER, SQRT, IF, IFERROR, AND, OR, NOT, IFS, SWITCH, VLOOKUP, HLOOKUP, XLOOKUP, INDEX, MATCH, OFFSET, LOOKUP, INDIRECT, CHOOSE, ROW, COLUMN, LEFT, RIGHT, MID, LEN, TRIM, CONCAT, TEXTJOIN, UPPER, LOWER, PROPER, SUBSTITUTE, REPLACE, FIND, SEARCH, TODAY, NOW, DATE, TIME, DATEDIF, EOMONTH, NETWORKDAYS, WORKDAY, YEAR, MONTH, DAY, PMT, FV, PV, RATE, NPV, IRR, SUMIF, SUMIFS, COUNTIF, COUNTIFS, AVERAGEIF, AVERAGEIFS, FILTER, SORT, UNIQUE, SEQUENCE, RAND, RANDBETWEEN, LARGE, SMALL, RANK, PERCENTILE, QUARTILE, FREQUENCY, TRANSPOSE, MMULT, IFNA, ISERROR, ISNUMBER, ISTEXT, ISBLANK, CELL, INFO, HYPERLINK.


    Real-Life Office Use Case Examples

    MIS Reporting

    • Combine SUMIFS + VLOOKUP to create dynamic reports
    • Automate monthly dashboards

    Accounting

    • Use IF + SUMIF for GST calculations
    • Use PMT for EMI tracking

    HR Department

    • Use DATEDIF for experience
    • Use NETWORKDAYS for salary

    Sales Team

    • Use IF for target achievement
    • Use COUNTIF for performance tracking

    Pro Tips to Master Excel Formulas Faster

    • Practice daily with real datasets
    • Use named ranges for better readability
    • Combine formulas instead of using single ones
    • Learn keyboard shortcuts for speed
    • Focus on VLOOKUP, INDEX-MATCH, IF, SUMIFS first

    Frequently Asked Questions (FAQs)

    1. What are the most important Excel formulas for office work?

    The most important formulas are IF, VLOOKUP, SUM, SUMIFS, INDEX, MATCH, COUNTIF, and IFERROR as they are widely used in reports and automation.

    2. How many Excel formulas should I learn to get a job?

    Learning 20–30 core formulas with practical use cases is enough to get entry-level jobs, but mastering 50+ gives a strong advantage.

    3. Which Excel formulas are used in accounting?

    SUM, IF, VLOOKUP, PMT, NPV, and ROUND are commonly used in accounting tasks.

    4. What is the difference between VLOOKUP and XLOOKUP?

    VLOOKUP works vertically and has limitations, while XLOOKUP is more flexible and works in all directions.

    5. How can I practice Excel formulas effectively?

    Use real office datasets like sales reports, employee data, and invoices to practice formulas.

    6. Are Excel formulas still relevant in 2026?

    Yes, Excel is still widely used in companies, especially for MIS reporting, accounting, and data analysis.

    7. Which Excel formula is best for data analysis?

    INDEX + MATCH and SUMIFS are the most powerful combinations for data analysis.


    Conclusion

    Excel formulas are the foundation of modern office work. From simple calculations to advanced data analysis, these 100 formulas can transform your productivity and career growth. Professionals who master Excel can automate tasks, reduce errors, and create impactful reports.


    Learn Excel Like a Professional (Recommended Course)

    If you want to master Excel, automation, VBA, dashboards, and real office projects, you can join this practical course:

    Learn advanced Excel, MIS reporting, VBA, SQL, and automation through real-world use cases:
    https://www.udemy.com/course/mis-professional-excel-macro-access-sql/?referralCode=2E74149D7BAA3C871436

    This course is designed especially for students, job seekers, and working professionals.


    Disclaimer

    This article is for educational purposes only. Excel features and formulas may vary depending on the version of the software. Users should verify formulas before applying them in financial or business decisions.


  • Top 5 Excel Tricks That Save 1 Hour Daily for Professionals, Students & MIS Executives (2026 Guide)

    Top 5 Excel Tricks That Save 1 Hour Daily is a must-know topic for anyone working with data, whether you are a student, accountant, MIS executive, or business professional. In today’s fast-paced work environment, efficiency is everything. Many Excel users spend hours doing repetitive tasks that can actually be completed in minutes using smart techniques.

    This detailed guide will walk you through five powerful Excel tricks that can significantly reduce your daily workload, improve productivity, and help you work smarter, not harder.


    Why Learning Excel Tricks is Important

    Excel is used in almost every industry, including:

    • Finance
    • Accounting
    • Sales and Marketing
    • HR and Operations

    Studies suggest that professionals spend 30–40% of their work time on Excel-related tasks. By using the right tricks, you can save at least 1 hour daily, which translates to over 250 hours annually.


    Overview of Top Time-Saving Excel Tricks

    TrickBenefit
    Flash FillAutomates data extraction
    Pivot TablesInstant data analysis
    Keyboard ShortcutsFaster navigation
    IF + VLOOKUPSmart calculations
    Conditional FormattingQuick insights

    Trick 1: Flash Fill – Automate Data Entry Instantly

    What is Flash Fill?

    Flash Fill automatically detects patterns and fills data accordingly.

    Example Use Case

    You have:

    • Full Name → Want First Name

    Instead of using formulas, just type one example and press:
    Ctrl + E

    Benefits

    • Saves up to 80% time in data cleaning
    • No formula required
    • Works instantly

    Trick 2: Pivot Tables – Analyze Data in Seconds

    Why Pivot Tables?

    Pivot Tables allow you to summarize large datasets quickly.

    Example Use Case

    You want:

    • Total sales by region
    • Monthly performance

    Instead of manual calculations, Pivot Table does it in seconds.

    Key Advantages

    FeatureBenefit
    Drag & DropEasy to use
    DynamicUpdates instantly
    FlexibleMultiple reports

    Pivot Tables can reduce analysis time from 30 minutes to 2 minutes.


    Trick 3: Keyboard Shortcuts – Work 2x Faster

    Using keyboard shortcuts is one of the easiest ways to save time.

    Must-Know Shortcuts

    ShortcutFunction
    Ctrl + C / VCopy/Paste
    Ctrl + ArrowJump across data
    Ctrl + Shift + LApply filter
    Alt + =Auto sum
    Ctrl + TConvert to table

    Impact

    Using shortcuts can improve speed by 40–60% compared to mouse usage.


    Trick 4: IF + VLOOKUP – Smart Data Handling

    Why Combine IF and VLOOKUP?

    It allows conditional data retrieval.

    Example

    Check if a value exists before applying lookup.

    Benefits

    • Reduces errors
    • Improves accuracy
    • Automates decision-making

    Trick 5: Conditional Formatting – Visual Insights

    What is Conditional Formatting?

    It highlights data based on conditions.

    Example Use Case

    • Highlight sales above target
    • Mark low-performing areas

    Benefits

    FeatureBenefit
    Visual AlertsEasy identification
    AutomationNo manual checking
    Custom RulesFlexible usage

    This helps in quick decision-making without scanning large datasets.


    Real-Life Impact of These Excel Tricks

    Professionals using these tricks report:

    • 50% faster reporting
    • Reduced manual errors
    • Improved productivity
    • Better data accuracy

    For MIS executives, these tricks are essential for daily reporting tasks.


    Common Mistakes to Avoid

    • Ignoring shortcuts
    • Using manual calculations
    • Not using Pivot Tables
    • Overcomplicating formulas
    • Not formatting data properly

    Avoiding these mistakes can significantly improve efficiency.


    Best Practices for Maximum Productivity

    1. Use Tables Instead of Ranges

    Tables auto-expand and simplify formulas.

    2. Keep Data Clean

    Avoid blank rows and inconsistent formats.

    3. Use Named Ranges

    Makes formulas easier to understand.

    4. Practice Regularly

    Consistency improves speed.


    Who Should Learn These Excel Tricks?

    • Students preparing for jobs
    • Accountants and finance professionals
    • MIS executives
    • Data analysts
    • Business owners

    These tricks are useful for anyone working with data.


    How These Tricks Help in Career Growth

    Learning advanced Excel techniques can:

    • Increase job opportunities
    • Improve salary potential
    • Make you more efficient
    • Help in promotions

    Many companies prefer candidates with strong Excel skills.


    Frequently Asked Questions (FAQ)

    1. What are the best Excel tricks to save time?

    Flash Fill, Pivot Tables, shortcuts, IF formulas, and conditional formatting.

    2. Can Excel really save 1 hour daily?

    Yes, with proper techniques, repetitive tasks can be automated.

    3. Is Excel still relevant in 2026?

    Yes, it is widely used across industries.

    4. Do I need advanced skills to use these tricks?

    No, most tricks are beginner-friendly.

    5. Which Excel feature saves the most time?

    Pivot Tables and Flash Fill are the most powerful.

    6. How can I improve Excel speed?

    Use shortcuts and avoid manual work.

    7. Are these tricks useful for jobs?

    Yes, they are highly valued in professional roles.


    Conclusion

    The Top 5 Excel Tricks That Save 1 Hour Daily can completely transform the way you work with data. By using these techniques, you can automate tasks, reduce errors, and improve productivity significantly.

    In today’s competitive job market, Excel efficiency is not just an advantage—it is a necessity. Mastering these tricks will help you work faster, smarter, and more professionally.


    Learn Excel with Practical Projects

    If you want to master Excel, automation, dashboards, and real-world projects, you can explore a complete job-oriented training program here:

    Join Excel MIS Reporting Course

    This course is designed to help you become job-ready with practical skills used in real companies.


    Disclaimer

    This article is for educational purposes only. Results may vary depending on individual practice and usage of Excel features.


  • 10 Common Mistakes in Excel During Job Interviews and How to Avoid Them for Better Results

    Excel is one of the most powerful tools used across industries—from finance to operations and from data analytics to MIS reporting. Yet, many candidates struggle to showcase their Excel skills effectively during interviews. Even those who use Excel daily often commit avoidable mistakes that can cost them job opportunities.

    This detailed guide highlights the 10 most common mistakes candidates make in Excel during interviews, explains why they happen, and provides practical tips to avoid them. Whether you’re preparing for a data analyst role, an MIS executive position, or a finance job, understanding these mistakes can help you stand out and perform confidently in your next interview.


    Why Excel Mistakes Matter in Interviews

    Employers often use Excel tests to evaluate a candidate’s analytical thinking, accuracy, and attention to detail. Studies show that over 65% of office jobs in India require intermediate to advanced Excel skills, while around 80% of interviewers use Excel-based assessments to shortlist candidates.

    A simple formula error or formatting issue can reflect poorly on your practical understanding—even if you know the concept theoretically. That’s why identifying and fixing these mistakes beforehand can make a huge difference.


    Table: Overview of Common Excel Mistakes and Their Impact

    No.MistakeImpact in InterviewSuggested Fix
    1Incorrect formula referencesProduces wrong resultsUse absolute/relative references correctly
    2Ignoring data formattingReduces clarity and professionalismUse consistent number/date formats
    3Not using Named RangesMakes formulas confusingDefine and use names for key cells
    4Forgetting to use data validationLeads to inconsistent entriesApply data validation rules
    5Poor presentation of dataLooks unprofessionalUse borders, alignment, and color coding wisely
    6Overcomplicating formulasCauses confusionUse simple and readable formulas
    7Lack of understanding of Pivot TablesFails to summarize data effectivelyPractice creating meaningful Pivot reports
    8Ignoring Conditional FormattingMisses insightsHighlight key trends with visual cues
    9Not checking for errors (#N/A, #DIV/0!)Appears carelessUse IFERROR and auditing tools
    10Forgetting to protect dataRisk of accidental editsProtect sheets/workbooks appropriately

    Detailed Explanation of Each Mistake

    1. Incorrect Formula References

    Many candidates use wrong cell references during formula writing. For instance, using relative references when absolute references ($A$1) are needed can lead to incorrect results when copying formulas.
    Example: In a sales commission sheet, dragging formulas without locking the base rate cell often gives wrong totals.
    Fix: Learn when to use $ signs and practice using F4 to switch between reference types.


    2. Ignoring Data Formatting

    Raw, unformatted data gives a negative impression. Interviewers expect clean, well-organized sheets.
    Example: Mixing date formats like “01-01-25” and “1-Jan-2025” or leaving decimals unaligned.
    Fix: Always standardize number, currency, and date formats using the Format Cells option.


    3. Not Using Named Ranges

    Formulas like =SUM(A1:A10) are fine, but when the dataset grows, using names like =SUM(SalesData) improves readability.
    Fix: Go to Formulas > Define Name and create logical names. It helps in dynamic reporting and reduces errors.


    4. Forgetting Data Validation

    If you’re asked to create an invoice or employee form, interviewers expect you to control entries.
    Example: Typing “Febbruary” or “Malee” in a drop-down field looks careless.
    Fix: Use Data Validation (Data tab → Data Validation) to create drop-down lists or restrict data to specific formats.


    5. Poor Presentation of Data

    Interviewers evaluate presentation along with accuracy. Poor layout, misaligned text, and inconsistent cell widths make data difficult to read.
    Fix: Use table formatting, consistent font styles, bold headers, and freeze panes for long datasets. Visual neatness often scores high marks.


    6. Overcomplicating Formulas

    Writing nested formulas like:
    =IF(AND(A1>100,OR(B1="Yes",C1>50)),"Pass","Fail")
    can look impressive but may confuse or break easily.
    Fix: Break complex formulas into helper columns, use LET(), or apply simpler logic using IFS() or CHOOSE() functions.


    7. Lack of Understanding of Pivot Tables

    Pivot Tables are one of Excel’s most powerful tools, yet many candidates cannot create or customize them efficiently during interviews.
    Example: Interviewers often ask to summarize “sales by region and month.”
    Fix: Practice grouping, filtering, and using calculated fields. A well-designed Pivot Table can demonstrate analytical skills instantly.


    8. Ignoring Conditional Formatting

    Conditional formatting helps highlight key insights. Ignoring it shows limited practical knowledge.
    Example: Highlighting top 10 customers, negative balances, or overdue dates.
    Fix: Use Home > Conditional Formatting → Top/Bottom Rules or Custom Formula. It adds immediate visual impact to reports.


    9. Not Checking for Errors (#N/A, #DIV/0!)

    One of the most common Excel interview mistakes is leaving formula errors visible. It shows a lack of attention to detail.
    Fix: Use IFERROR() or IFNA() to manage error outputs.
    Example:
    =IFERROR(VLOOKUP(A2,Sheet2!A:B,2,0),"Not Found") ensures clean and professional outputs.


    10. Forgetting to Protect Data

    Unprotected worksheets risk accidental deletion or edits.
    Fix: Use Review > Protect Sheet or Protect Workbook. Setting passwords and controlling permissions demonstrates good Excel hygiene, especially in MIS or finance roles.


    Bonus Tips to Excel in Excel Interviews

    • Practice real-world tasks like sales dashboards, invoice templates, or salary sheets.
    • Know at least 10 essential formulas (SUMIFS, VLOOKUP, INDEX, MATCH, IFERROR, COUNTIFS, TEXT, NETWORKDAYS, LEFT/RIGHT, CONCAT).
    • Learn Excel shortcuts – they save time and show efficiency.
    • Don’t panic if a formula doesn’t work; explain your thought process logically.

    Table: Quick Summary – Excel Mistakes vs Interviewer’s Impression

    MistakeWhat Interviewer ThinksHow to Fix It
    Wrong formulasWeak in Excel logicRevise formula basics and referencing
    Unformatted sheetLacks attention to detailUse consistent styles and formatting
    No Pivot TableLimited analytical skillPractice summarizing data
    Unhandled errorsIncomplete understandingUse IFERROR and auditing tools
    Complex formulasOverconfident but inefficientSimplify logic and explain steps

    Conclusion

    Avoiding these 10 common Excel mistakes can significantly boost your performance in interviews. Remember, employers don’t just test your ability to use Excel—they assess your ability to use it smartly, efficiently, and professionally. With consistent practice and attention to detail, you can confidently demonstrate your Excel skills and secure your desired job role.


    Disclaimer

    The information provided in this article is for educational and career preparation purposes only. It reflects general interview trends and Excel practices observed across various industries. Individual interview requirements may vary depending on the company, role, and level of expertise expected.


  • Complete List of Excel Functions 2025 – Categorized Guide with Descriptions for Excel 365

    In Microsoft Excel 365 (latest version, 2025), there are over 500 built-in functions.

    📊 Function Count Overview

    Excel VersionApprox. Number of FunctionsNotes
    Excel 2003~ 330 functionsMostly math, text, logical, financial
    Excel 2007~ 340 functionsAdded new statistical & financial functions
    Excel 2010~ 350 functionsIntroduced new functions like AGGREGATE
    Excel 2013~ 380 functionsAdded more engineering & cube functions
    Excel 2016~ 470 functionsAdded TEXTJOIN, IFS, MAXIFS, MINIFS, CONCAT
    Excel 2019~ 480 functionsSimilar to 2016 with some enhancements
    Excel 365≈ 520+ functionsIncludes Dynamic Array functions (FILTER, SORT, UNIQUE, RANDARRAY, SEQUENCE) and Lambda functions

    🔑 Categories of Functions in Excel

    1. Math & Trigonometry – SUM, ROUND, SIN, COS, etc.
    2. Statistical – AVERAGE, MEDIAN, STDEV, VAR, etc.
    3. Logical – IF, AND, OR, IFERROR, IFS.
    4. Text – LEFT, RIGHT, MID, TEXTJOIN, CONCAT, VALUE.
    5. Date & Time – TODAY, NOW, EOMONTH, DATEDIF.
    6. Lookup & Reference – VLOOKUP, HLOOKUP, INDEX, MATCH, XLOOKUP.
    7. Financial – NPV, IRR, PMT, FV.
    8. Engineering – COMPLEX, DELTA, CONVERT.
    9. Information – ISERROR, ISNUMBER, TYPE.
    10. Database – DSUM, DCOUNT.
    11. Cube – CUBEMEMBER, CUBEVALUE.
    12. Web / Dynamic Array (Excel 365) – FILTER, SORT, UNIQUE, SEQUENCE, RANDARRAY.
    13. Lambda & Custom Functions (Excel 365) – LAMBDA, MAP, REDUCE, MAKEARRAY, BYROW, BYCOL.

    1. Math & Trigonometry Functions

    FunctionDescription
    SUMAdds all numbers in a range
    SUMIFAdds numbers in a range that meet a condition
    SUMIFSAdds numbers that meet multiple conditions
    ROUNDRounds a number to a specified number of digits
    ROUNDUPRounds a number up, away from zero
    ROUNDDOWNRounds a number down, towards zero
    INTRounds a number down to the nearest integer
    TRUNCTruncates a number to a specified number of digits
    POWERReturns a number raised to a power
    SQRTReturns the square root of a number
    ABSReturns the absolute value of a number
    MODReturns the remainder after division
    PIReturns the value of π
    SINReturns the sine of an angle
    COSReturns the cosine of an angle
    TANReturns the tangent of an angle
    ASINReturns the arcsine of a number
    ACOSReturns the arccosine of a number
    ATANReturns the arctangent of a number
    ATAN2Returns the arctangent of two numbers (x, y)

    2. Statistical Functions

    FunctionDescription
    AVERAGEReturns the average of numbers
    AVERAGEIFReturns the average of numbers that meet a condition
    AVERAGEIFSReturns the average of numbers that meet multiple conditions
    COUNTCounts the number of numeric values
    COUNTACounts all non-empty cells
    COUNTBLANKCounts empty cells
    COUNTIFCounts cells that meet a condition
    COUNTIFSCounts cells that meet multiple conditions
    MAXReturns the maximum value in a range
    MINReturns the minimum value in a range
    MEDIANReturns the median of numbers
    MODEReturns the most frequent number
    STDEV.PStandard deviation for the entire population
    STDEV.SStandard deviation for a sample
    VAR.PVariance for the entire population
    VAR.SVariance for a sample
    RANK.EQReturns the rank of a number
    RANK.AVGReturns the rank with average in case of ties

    3. Logical Functions

    FunctionDescription
    IFReturns one value if condition is TRUE, another if FALSE
    ANDReturns TRUE if all conditions are TRUE
    ORReturns TRUE if any condition is TRUE
    NOTReverses the logical value
    IFERRORReturns a value if no error, otherwise specified value
    IFSChecks multiple conditions in order
    SWITCHEvaluates expressions against a list of values
    TRUEReturns logical TRUE
    FALSEReturns logical FALSE

    4. Text Functions

    FunctionDescription
    CONCATCombines text from multiple ranges or strings
    TEXTJOINJoins text with a delimiter, ignoring blanks
    LEFTReturns the first characters of a string
    RIGHTReturns the last characters of a string
    MIDReturns characters from the middle of a string
    LENReturns the length of a string
    TRIMRemoves extra spaces
    UPPERConverts text to uppercase
    LOWERConverts text to lowercase
    PROPERCapitalizes the first letter of each word
    REPLACEReplaces characters in a string
    SUBSTITUTEReplaces occurrences of text with new text
    VALUEConverts text to a number
    FINDFinds the position of text in a string (case-sensitive)
    SEARCHFinds the position of text (not case-sensitive)

    5. Date & Time Functions

    FunctionDescription
    TODAYReturns the current date
    NOWReturns the current date and time
    DATECreates a date from year, month, day
    TIMECreates a time from hour, minute, second
    DAYReturns the day of a date
    MONTHReturns the month of a date
    YEARReturns the year of a date
    HOURReturns the hour of a time
    MINUTEReturns the minute of a time
    SECONDReturns the second of a time
    EOMONTHReturns the last day of the month
    WORKDAYReturns a date after adding working days
    NETWORKDAYSCounts working days between two dates
    DATEDIFReturns difference between two dates

    6. Lookup & Reference Functions

    FunctionDescription
    VLOOKUPLooks up a value vertically in a table
    HLOOKUPLooks up a value horizontally in a table
    XLOOKUPAdvanced lookup (vertical or horizontal)
    INDEXReturns the value of a cell in a table based on row & column
    MATCHReturns the relative position of a value in a range
    OFFSETReturns a cell or range offset by rows and columns
    ROWReturns the row number
    COLUMNReturns the column number
    ROWSCounts the number of rows in a range
    COLUMNSCounts the number of columns in a range
    CHOOSEReturns a value from a list based on index number
    HYPERLINKCreates a clickable hyperlink

    7. Financial Functions

    FunctionDescription
    PMTCalculates loan payment
    FVFuture value of an investment
    PVPresent value of an investment
    NPVNet present value
    IRRInternal rate of return
    RATEInterest rate per period
    PPMTPrincipal portion of a loan payment
    IPMTInterest portion of a loan payment
    CUMIPMTCumulative interest payment
    CUMPRINCCumulative principal payment

    8. Engineering Functions

    FunctionDescription
    COMPLEXReturns a complex number
    IMABSAbsolute value of a complex number
    IMAGINARYImaginary coefficient of a complex number
    IMREALReal coefficient of a complex number
    DELTAChecks equality of two numbers
    CONVERTConverts a number from one measurement unit to another

    9. Information Functions

    FunctionDescription
    ISNUMBERChecks if a value is a number
    ISTEXTChecks if a value is text
    ISBLANKChecks if a cell is blank
    ISERRORChecks if a value is any error
    ISERRChecks if a value is an error except #N/A
    TYPEReturns the type of a value

    10. Database & Cube Functions

    FunctionDescription
    DSUMSum values that meet database criteria
    DCOUNTCount values in a database
    DGETExtract a single value from a database
    DMAXMaximum in database based on criteria
    DMINMinimum in database based on criteria
    CUBEMEMBERReturns a member from cube
    CUBEVALUEReturns value from cube
    CUBEMEMBERPROPERTYReturns member property from cube

    11. Dynamic Array & New Excel 365 Functions

    FunctionDescription
    FILTERReturns filtered array based on condition
    SORTSorts array of values
    SORTBYSorts array by another array
    UNIQUEReturns unique values from a range
    SEQUENCEGenerates a sequence of numbers
    RANDARRAYReturns array of random numbers
    XMATCHReturns position of a value in a range (better than MATCH)

    12. LAMBDA & Custom Functions (Excel 365)

    FunctionDescription
    LAMBDACreates reusable custom functions
    MAPApplies a LAMBDA to each element in an array
    REDUCEReduces an array to a single value using LAMBDA
    MAKEARRAYCreates an array using LAMBDA
    BYROWApplies LAMBDA row-wise
    BYCOLApplies LAMBDA column-wise

    💡 Tip: With Excel 365, you can combine dynamic arrays and LAMBDA functions to create an unlimited number of custom calculations, so technically the “number of functions” is infinite if you include user-defined ones.