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Microsoft 365 Excel: The Only App That Matters
Microsoft 365 Excel: The Only App That Matters

Microsoft 365 Excel: The Only App That Matters: Master Excel 365: Unlock the Power of the Ultimate Spreadsheet Tool

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Profile Icon MrExcel's Holy Macro! Books Profile Icon Mike Girvin
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₹799.99 ₹1072.99
eBook Sep 2024 826 pages 1st Edition
eBook
₹799.99 ₹1072.99
Arrow left icon
Profile Icon MrExcel's Holy Macro! Books Profile Icon Mike Girvin
Arrow right icon
₹799.99 ₹1072.99
eBook Sep 2024 826 pages 1st Edition
eBook
₹799.99 ₹1072.99
eBook
₹799.99 ₹1072.99

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Key benefits

  • Comprehensive coverage from Excel basics to advanced functions
  • Practical examples for real-world application
  • Step-by-step guidance on data analysis and automation.

Description

Unlock the full potential of Microsoft 365 Excel with this extensive guide, crafted for both beginners and seasoned users alike. Begin by uncovering the foundational reasons behind Excel’s creation and its unmatched significance in the business world. Dive deep into the structure of Excel files, worksheets, and key concepts that underscore the application’s versatility. As you progress, master efficient workflows, keyboard shortcuts, and powerful formulas, making Excel an indispensable tool for solving complex problems. Moving forward, the book will guide you through advanced topics, including logical tests, lookup functions, and the latest features like LET and LAMBDA functions. Gain hands-on experience with data analysis, exploring the full capabilities of standard pivot tables, advanced Power Query, and Power BI. Each chapter builds on the last, ensuring that you gain both practical skills and a deep understanding of Excel’s capabilities, preparing you to confidently tackle even the most challenging data tasks. By the end of this guide, you’ll not only be adept at using Excel but also equipped with strategies to apply Excel's advanced features to real-world scenarios—whether you’re interested in financial modeling, big data analysis, or simply enhancing efficiency in your day-to-day tasks.

Who is this book for?

The ideal audience for this book includes professionals, data analysts, financial analysts, and students who are familiar with basic Excel functions but want to advance their skills. A basic understanding of Excel is recommended.

What you will learn

  • Master Excel's interface and shortcuts
  • Build efficient worksheets
  • Apply formulas for problem-solving
  • Leverage data analysis tools
  • Utilize advanced Excel functions
  • Create automated solutions with VBA.

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Publication date : Sep 26, 2024
Length: 826 pages
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Language : English
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Publication date : Sep 26, 2024
Length: 826 pages
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Table of Contents

338 Chapters
Microsoft 365 Excel: The Only App That Matters Chevron down icon Chevron up icon
Dedications Chevron down icon Chevron up icon
About the Author Chevron down icon Chevron up icon
Acknowledgements Chevron down icon Chevron up icon
Introduction Chevron down icon Chevron up icon
Who This Book Is For Chevron down icon Chevron up icon
PC Versus Mac Excel Chevron down icon Chevron up icon
Following Along with Excel Files Chevron down icon Chevron up icon
Chapter 1: Why Excel 365? Chevron down icon Chevron up icon
The Worksheet Formula Calculation Engine Chevron down icon Chevron up icon
Array Formulas Chevron down icon Chevron up icon
New Array Functions: UNIQUE and FILTER Chevron down icon Chevron up icon
The New XLOOKUP and LET Functions Chevron down icon Chevron up icon
Power Query and the M Code Formula Language Chevron down icon Chevron up icon
Power Pivot, the Data Model, and DAX Formulas Chevron down icon Chevron up icon
Power BI Desktop for Creating Visualizations and Reports Chevron down icon Chevron up icon
Key Concepts in Chapter 1 Chevron down icon Chevron up icon
Chapter 2: Why the Spreadsheet Was Invented Chevron down icon Chevron up icon
Key Concepts in Chapter 2 Chevron down icon Chevron up icon
Chapter 3: What Does Excel Do? Chevron down icon Chevron up icon
Key Concepts in Chapter 3 Chevron down icon Chevron up icon
Chapter 4: Key Concepts Used to Create Excel Solutions Chevron down icon Chevron up icon
Key Concepts in Chapter 4 Chevron down icon Chevron up icon
Chapter 5: The Structure of Excel Files and Worksheets Chevron down icon Chevron up icon
The Two-Way Grid: Cells, Worksheets, and Workbooks Chevron down icon Chevron up icon
Worksheet Navigation Chevron down icon Chevron up icon
Excel Data and Default Alignment in Cells Chevron down icon Chevron up icon
The Excel Command Environment Chevron down icon Chevron up icon
The Quick Access Toolbar Chevron down icon Chevron up icon
The File Menu and Backstage View Chevron down icon Chevron up icon
File Management Chevron down icon Chevron up icon
Key Concepts in Chapter 5 Chevron down icon Chevron up icon
Keyboard Shortcuts Learned in Chapter 5 Chevron down icon Chevron up icon
Chapter 6: Keyboard Keys and Shortcuts Chevron down icon Chevron up icon
Keyboard Shortcuts Chevron down icon Chevron up icon
Key Concepts in Chapter 6 Chevron down icon Chevron up icon
Keyboard Shortcuts Learned in Chapter 6 Chevron down icon Chevron up icon
Chapter 7: Worksheet Efficiency Tricks Chevron down icon Chevron up icon
Using Worksheet Mouse Cursors Chevron down icon Chevron up icon
Entering Content into Cells with Five Different Keyboard Shortcuts Chevron down icon Chevron up icon
Selecting a Range of Cells Chevron down icon Chevron up icon
Jumping Around in a Worksheet Chevron down icon Chevron up icon
Key Concepts in Chapter 7 Chevron down icon Chevron up icon
Chapter 8: Worksheet Formulas, Formatting, and Setup to Solve Problems Chevron down icon Chevron up icon
Creating a Sample Worksheet Chevron down icon Chevron up icon
Using the Proper Dataset Format Chevron down icon Chevron up icon
Adding Style Formatting Chevron down icon Chevron up icon
Entering the Data Chevron down icon Chevron up icon
Using Worksheet Formulas, Functions, Cell References, and Aggregate Operations Chevron down icon Chevron up icon
Checking Your Work and Verifying Your Formulas Chevron down icon Chevron up icon
Using Relative Cell References Chevron down icon Chevron up icon
Adding Number Formatting Chevron down icon Chevron up icon
Using the Format Painter Chevron down icon Chevron up icon
Inserting Rows into a Worksheet Chevron down icon Chevron up icon
Calculating Percentages Chevron down icon Chevron up icon
Understanding Absolute Cell References Chevron down icon Chevron up icon
Documenting Your Work Chevron down icon Chevron up icon
Spilling Dynamic Array Formulas and Array Operations Chevron down icon Chevron up icon
Using the Excel Table Feature Chevron down icon Chevron up icon
Sorting and Filtering Chevron down icon Chevron up icon
Setting Up a Page for Printing Chevron down icon Chevron up icon
Adding New Data to a Dynamic Solution by Using a Text File Chevron down icon Chevron up icon
Converting a Solution to a PDF File Chevron down icon Chevron up icon
Key Concepts in Chapter 8 Chevron down icon Chevron up icon
Keyboard Shortcuts Learned in Chapter 8 Chevron down icon Chevron up icon
Practice Problems for Chapter 8 Chevron down icon Chevron up icon
Chapter 9: A Golden Rule for Building Excel Models Chevron down icon Chevron up icon
How Violating the Golden Rule Can Get You into Trouble Chevron down icon Chevron up icon
Benefits of Following the Golden Rule Chevron down icon Chevron up icon
Example 1: Commission Pay Worksheet Formula Chevron down icon Chevron up icon
Example 2: Monthly Expense Formula with Hard-Coded Formula Input Chevron down icon Chevron up icon
Example 3: COUNTIFS Worksheet Function to Count with a Condition Chevron down icon Chevron up icon
Example 4: UNIQUE Array Function and Data Validation List Chevron down icon Chevron up icon
Example 5: Conditional Formatting Chevron down icon Chevron up icon
What-If Analysis and Excel Models Chevron down icon Chevron up icon
Key Concepts in Chapter 9 Chevron down icon Chevron up icon
Keyboard Shortcuts Learned in Chapter 9 Chevron down icon Chevron up icon
Practice Problems for Chapter 9 Chevron down icon Chevron up icon
Chapter 10: Knowing When to Use the ROUND Function Chevron down icon Chevron up icon
The ROUND Function Rule Chevron down icon Chevron up icon
Example 1: Using the ROUND Function to Get Accurate Totals for Tax Deduction Calculations Chevron down icon Chevron up icon
Example 2: Rounding to the Dollar Chevron down icon Chevron up icon
Example 3: Rounding for a Sales Invoice Chevron down icon Chevron up icon
Example 4: Rounding a Percentage Chevron down icon Chevron up icon
Key Concepts in Chapter 10 Chevron down icon Chevron up icon
Practice Problems for Chapter 10 Chevron down icon Chevron up icon
Chapter 11: Date and Time Number Formatting and Formulas Chevron down icon Chevron up icon
Date Number Formatting, Date Serial Numbers, and Date Formulas Chevron down icon Chevron up icon
The Format Cells Dialog Box and Custom Date Number Formatting Chevron down icon Chevron up icon
Calculating the Difference Between Two Dates Chevron down icon Chevron up icon
Counting Workdays with NETWORKDAYS.INTL Chevron down icon Chevron up icon
Adding Days to Dates and Subtracting Days from Dates Chevron down icon Chevron up icon
Time Number Formatting, Time Serial Numbers, and Time Formulas Chevron down icon Chevron up icon
Example 1: Calculating Hours Worked Chevron down icon Chevron up icon
Example 2: Calculating Hours Worked When There Is a Lunch Break Chevron down icon Chevron up icon
Example 3: Using the Time Number Format to Show Hours Greater Than 24 Hours Chevron down icon Chevron up icon
Example 4: Calculating Hours Worked for a Night Shift Chevron down icon Chevron up icon
Example 5: Rounding a Time Value to Within 5 Minutes with the MROUND Function Chevron down icon Chevron up icon
Keyboard Shortcuts and Custom Date and Time Number Formatting Chevron down icon Chevron up icon
Key Concepts in Chapter 11 Chevron down icon Chevron up icon
Keyboard Shortcuts Learned in Chapter 11 Chevron down icon Chevron up icon
Practice Problems for Chapter 11 Chevron down icon Chevron up icon
Chapter 12: Worksheet Formula Types and Formula Elements Chevron down icon Chevron up icon
Worksheet Formula Types Chevron down icon Chevron up icon
Worksheet Formula Elements Chevron down icon Chevron up icon
Order of Operator Precedence in Worksheet Formulas Chevron down icon Chevron up icon
My Golden Rule, the ROUND Function, and Number Formatting As a Façade Chevron down icon Chevron up icon
Example 1: Number Formula for Average Customer Ratings Chevron down icon Chevron up icon
Example 2: Using a Text Formula to Join First and Last Names in a Cell Chevron down icon Chevron up icon
Example 3: Using a Logical Formula to Determine Whether Accounts Are in Balance Chevron down icon Chevron up icon
Examples 4 Through 6: Using a Cost of Goods Sold Formula with a Spilled Array, Relative Cell References, or Table Formula Nomenclature Chevron down icon Chevron up icon
Example 7: Dynamically Extracting the Top N Values by Using the Comma Reference Operator Chevron down icon Chevron up icon
Example 8: Adding the Top Three Boomerang MTA Scores and Ranking with the RANK.EQ Worksheet Function Chevron down icon Chevron up icon
Example 9: Looking Up the Price for Invoicing by Using the XLOOKUP Worksheet Function Chevron down icon Chevron up icon
Example 10: Looking Up All the Rows in a Column by Using the XLOOKUP Function Chevron down icon Chevron up icon
Example 11: Looking Up a List of Student Classes by Using the FILTER Function Chevron down icon Chevron up icon
Example 12: Using the SUMIFS Worksheet Function to Create a Sales and Costs Report by Product Chevron down icon Chevron up icon
Example 13: Conducting a Customer Credit Analysis with the AND Function and Mixed Cell References Chevron down icon Chevron up icon
Example 14: Knowing When Mixed Cell References Are Required Chevron down icon Chevron up icon
Example 15: Conditionally Formatting a Row with a Logical Formula and Mixed Cell References Chevron down icon Chevron up icon
Example 16: Extracting Records from an Excel Table with the FILTER Function and Defined Names Chevron down icon Chevron up icon
Example 17: Conditional Formatting for Dynamic Spilled Array Formulas Chevron down icon Chevron up icon
Example 18: Building a Stock Value Table with Data Types and the Dot Operator for a Stock Data Type Chevron down icon Chevron up icon
Example 19: Building Formulas Between Worksheets by Using Worksheet References Chevron down icon Chevron up icon
Examples 20 and 21: Building Formulas Between Workbooks by Using Workbook References Chevron down icon Chevron up icon
Examples 22 and 23: The Space Operator for Intersecting Values and the Better Alternative, XLOOKUP Chevron down icon Chevron up icon
Example 24: Using the Colon Reference Operator and 3D Cell References to Add Across Multiple Worksheets Chevron down icon Chevron up icon
Example 25: Using Table Formula Nomenclature Absolute and Mixed References Chevron down icon Chevron up icon
Key Concepts in Chapter 12 Chevron down icon Chevron up icon
Keyboard Shortcuts Learned in Chapter 12 Chevron down icon Chevron up icon
Practice Problems for Chapter 12 Chevron down icon Chevron up icon
Chapter 13: Logical Tests and Related Functions (AND, ISNUMBER, IF, IFS, FILTER, SUMIFS, and More) Chevron down icon Chevron up icon
Comparison Operators Chevron down icon Chevron up icon
Logical Tests Chevron down icon Chevron up icon
Example 1: Creating a Logical Test with a Single Condition Chevron down icon Chevron up icon
Example 2: Using Math Operations to Convert TRUE to 1 and FALSE to 0 Chevron down icon Chevron up icon
Example 3: Using IS Worksheet Functions Chevron down icon Chevron up icon
Types of Logical Tests: Single Condition, Contains, NOT, AND, BETWEEN, and OR Chevron down icon Chevron up icon
Logical Functions That Deliver a Single Scalar Boolean Value: AND, OR, and NOT Chevron down icon Chevron up icon
Example 4: Using an AND Function to Run an AND Logical Test Chevron down icon Chevron up icon
Example 5: Using an OR Function to Run an OR Logical Test Chevron down icon Chevron up icon
Example 6: Creating an AND Boolean Math Formula to Run an AND Logical Test Chevron down icon Chevron up icon
Example 7: Creating an OR Boolean Math Formula to Run an OR logical Test Chevron down icon Chevron up icon
Example 8: Nesting the OR Function Inside the AND Function to Run a Complex Logical Test Chevron down icon Chevron up icon
Example 9: Using a None Are True Logical Test or a NOT NOT Logical Test Chevron down icon Chevron up icon
Example 10: Using a BETWEEN Logical Test Chevron down icon Chevron up icon
Example 11: Conditionally Formatting a Row with an AND Logical Test and Mixed Cell References Chevron down icon Chevron up icon
Example 12: Creating a Test Where Any Nonzero Number Is Considered a TRUE Value Chevron down icon Chevron up icon
Example 13: Using the SEARCH and ISNUMBER Functions in a Contains Logical Test Chevron down icon Chevron up icon
Example 14: Using Formula Wildcards to Create a Contains Logical Test Inside the COUNTIFS Worksheet Function Chevron down icon Chevron up icon
Logical Worksheet Functions That Deliver Values: IF, IFS, IFNA, IFERROR, and FILTER Chevron down icon Chevron up icon
Example 15: Using the IF Function to Deliver One of Two Number Values: 750 or 0 Chevron down icon Chevron up icon
Example 16: Using the IF Function to Deliver One of Two Text Values: Over or Under Chevron down icon Chevron up icon
Examples 17 and 18: Using the IF Function to Deliver a Formula or Show Nothing Chevron down icon Chevron up icon
Examples 19 and 20: Using the AND and OR Functions Inside the IF Function Chevron down icon Chevron up icon
Example 21: Creating an AND Logical Test That Can Spill Results Chevron down icon Chevron up icon
Example 22: Using the IFS Function When You Have Three or More Things to Put in a Cell Chevron down icon Chevron up icon
Examples 23 and 24: Using the IFNA Function to Replace the #N/A Error with Something Different Chevron down icon Chevron up icon
Examples 25: Using the IF Function Instead of IFERROR Chevron down icon Chevron up icon
Examples 26: Using the IF Function Inside an Aggregate Function to Make a Conditional Calculation Chevron down icon Chevron up icon
Examples 27: Putting a Boolean AND Logical Test Inside the FILTER Function to Filter a Dataset Chevron down icon Chevron up icon
Examples 28: Putting a Boolean OR Logical Test Inside the FILTER Function to Filter a Dataset Chevron down icon Chevron up icon
Example 29: Comparing Two Lists and Extracting Results Using XMATCH and Other Functions Chevron down icon Chevron up icon
Using IFS Aggregate Functions (COUNTIFS, SUMIFS, AVERAGEIFS, MINIFS, and MAXIFS) to Calculate Based on an AND Logical Test Chevron down icon Chevron up icon
Example 30: Using IFS Aggregate Functions to Make Calculations with Three Criteria Chevron down icon Chevron up icon
Example 31: Taking a Closer Look at Using the SUMIFS Function to Run an AND Logical Test with Three Criteria Chevron down icon Chevron up icon
Example 32: Using the SUMIFS Function with Three Criteria in a Cross-Tabulated Report Chevron down icon Chevron up icon
Example 33: Using a BETWEEN Logical Test with SUMIFS and MAXIFS in a Monthly Sales Report Chevron down icon Chevron up icon
Example 34: Using the SUMIFS Function to Do an OR Logical Test on a Single Column Chevron down icon Chevron up icon
Example 35: Carrying Out Aggregate Operations with an OR Logical Test on a Single Column Chevron down icon Chevron up icon
Example 36: Conducting Aggregate Operations with an AND and OR Logical Test Chevron down icon Chevron up icon
Example 37: Conducting Aggregate Operations with an OR Logical Test on Two Columns Chevron down icon Chevron up icon
Example 38: Using Database Worksheet Functions Chevron down icon Chevron up icon
Key Concepts in Chapter 13 Chevron down icon Chevron up icon
Practice Problems for Chapter 13 Chevron down icon Chevron up icon
Chapter 14: Worksheet Lookup Functions and Formulas Chevron down icon Chevron up icon
Exact Match Versus Exact Match or Next Smaller Item Lookups Chevron down icon Chevron up icon
The XLOOKUP Function Chevron down icon Chevron up icon
Example 1: Using the XLOOKUP Function to Look Up Product Price Based on an Exact Match Lookup and Data Validation List Chevron down icon Chevron up icon
Example 2: Using the XLOOKUP Function to Look Up Tax Rate Based on an Exact Match or Next Smaller Item Lookup Chevron down icon Chevron up icon
Example 3: Using the XLOOKUP Function for an Exact Match or to Find the Next Biggest Value Chevron down icon Chevron up icon
Example 4: Using the XLOOKUP Function to Do a Wildcard Lookup Chevron down icon Chevron up icon
Example 5: Using the XLOOKUP Function to Get the First Item When There Are Duplicates Chevron down icon Chevron up icon
Example 6: Using the XLOOKUP Function to Get the Last Item When There Are Duplicates Chevron down icon Chevron up icon
Example 7: Using the XLOOKUP Function to Look Up All the Rows in a Column Chevron down icon Chevron up icon
Example 8: Using the XLOOKUP Function to Look Up a Record (All Columns in a Row) Chevron down icon Chevron up icon
Examples 9 and 10: Using the XLOOKUP Function to Do a Two-Way Lookup Chevron down icon Chevron up icon
Example 11: Using the XLOOKUP Function with Two Lookup Values Chevron down icon Chevron up icon
Example 12: Using the XLOOKUP Function to Do a Lookup Left Chevron down icon Chevron up icon
Example 13: Using the XLOOKUP Function to Perform a Vertical or Horizontal Grade Lookup Chevron down icon Chevron up icon
Example 14: Using the XLOOKUP Function with a Lookup Cell Reference Chevron down icon Chevron up icon
Example 15: Using the XLOOKUP Function to Look Up a Picture Chevron down icon Chevron up icon
Example 16: Using the XMATCH Function to Deliver the Relative Position of an Item in a List Chevron down icon Chevron up icon
Example 17: Using the XMATCH Function to Add Conditional Formatting When Comparing Two Lists Chevron down icon Chevron up icon
The INDEX Function Chevron down icon Chevron up icon
Example 18: Looking Up Random Data with the INDEX and RANDBETWEEN Functions Chevron down icon Chevron up icon
Example 19: Performing a Lookup and Rearranging Columns with the INDEX, SEQUENCE, ROWS, and XMATCH Functions Chevron down icon Chevron up icon
The FILTER Array Function Chevron down icon Chevron up icon
Example 20: Using the FILTER Function with One Lookup Value to Return Multiple Records Chevron down icon Chevron up icon
Example 21: Using the FILTER Function with Two Lookup Values to Return Multiple Records Chevron down icon Chevron up icon
LOOKUP: The Original Lookup Function for Spreadsheets Chevron down icon Chevron up icon
Example 22: Using the LOOKUP Function to Do Half Vertical/Half Horizontal Lookups Chevron down icon Chevron up icon
Example 23: Using LOOKUP to Create Approximate Match Lookup Formulas More Quickly Than with XLOOKUP Chevron down icon Chevron up icon
Example 24: Determining Whether to Use Multiple Lookup Tables and the SWITCH or FILTER Function Chevron down icon Chevron up icon
The SWITCH Function Chevron down icon Chevron up icon
Example 25: Using SWITCH with Lookup Formulas Chevron down icon Chevron up icon
Example 26: Combining Columns with the CHOOSE Function Chevron down icon Chevron up icon
Example 27: Using Data Types and the Dot Operator to Perform a Lookup Chevron down icon Chevron up icon
Key Concepts in Chapter 14 Chevron down icon Chevron up icon
Keyboard Shortcuts Learned in Chapter 14 Chevron down icon Chevron up icon
Practice Problems for Chapter 14 Chevron down icon Chevron up icon
Chapter 15: Worksheet Array Formulas: Just Enter! Chevron down icon Chevron up icon
What Is a Worksheet Array? Chevron down icon Chevron up icon
Defining a Worksheet Array Formula Chevron down icon Chevron up icon
Other Important Array Formula Details Chevron down icon Chevron up icon
Array Operation Configurations, the Evaluation Process, and the Size of the Resultant Array Chevron down icon Chevron up icon
Examples 1 Through 3: Doing Financial Calculations Using the Direct Array Operation Column * Row * Table Chevron down icon Chevron up icon
Example 4: Using Array Formulas to Build More Compact Excel Solutions Chevron down icon Chevron up icon
Examples 5 and 6: Using the SUMPRODUCT Function to Multiply Same-Size Arrays and Add the Resultant Array Chevron down icon Chevron up icon
Examples 7 Through 12: Using the SUMPRODUCT Function for Weighted Average Test Scores Chevron down icon Chevron up icon
Examples 13 and 14: Using the MMULT Array Function for a Total Costs Formula Chevron down icon Chevron up icon
Example 15: Using the MMULT Array Function to Spill Row Totals for a Table Chevron down icon Chevron up icon
Example 16: Using MMULT to Find the Standard Deviation of Expected Portfolio Returns Chevron down icon Chevron up icon
Example 17: Using the SEQUENCE Array Function Inside MMULT to Get Dynamic Spilled Row Totals Chevron down icon Chevron up icon
Array Functions Chevron down icon Chevron up icon
Examples 18 Through 23: Using the FILTER Array Function with Different Logical Tests in the include Argument Chevron down icon Chevron up icon
Examples 24 Through 28: Using the UNIQUE Array Function in Different Ways Chevron down icon Chevron up icon
Examples 29 Through 33: Using the SORT Array Function in Different Ways Chevron down icon Chevron up icon
Example 34: Using the SORTBY Array Function Chevron down icon Chevron up icon
Sorting Mixed Data Chevron down icon Chevron up icon
Example 35: Finding the Top Three Scores, Including Ties, with the FILTER, LARGE, and SORT Functions Chevron down icon Chevron up icon
Examples 36 Through 39: Using the SEQUENCE Array Function Chevron down icon Chevron up icon
Frequency Distributions Chevron down icon Chevron up icon
Example 40: Using SORT, UNIQUE, and COUNTIFS to Create a Qualitative Frequency Distribution Chevron down icon Chevron up icon
Example 41: Using the FREQUENCY Array Function to Create a Quantitative Frequency Distribution Chevron down icon Chevron up icon
Example 42: Removing the Last Category by Using the INDEX, SEQUENCE, and ROWS Functions Chevron down icon Chevron up icon
Example 43: Using FREQUENCY in Formulas to Create Upper Limits Chevron down icon Chevron up icon
Example 44: Using Formulas to Create Logical Labels for Counting Categories Chevron down icon Chevron up icon
Example 45: Using the COUNTIFS Function to Create Custom Counting Categories for a Quantitative Frequency Distribution Chevron down icon Chevron up icon
Key Concepts in Chapter 15 Chevron down icon Chevron up icon
Practice Problems for Chapter 15 Chevron down icon Chevron up icon
Chapter 16: The LET and LAMBDA Functions Chevron down icon Chevron up icon
The LET Worksheet Function Chevron down icon Chevron up icon
Examples 1 Through 3: Using the LET Worksheet Function When There Are Repeating Formula Elements Chevron down icon Chevron up icon
Examples 4 Through 7: Using the LET Worksheet Function to Create Single-Cell Reports Chevron down icon Chevron up icon
The LAMBDA Function Chevron down icon Chevron up icon
Examples 8 and 9: Using the LAMBDA Worksheet Function to Create Reusable Functions for Common Calculations Chevron down icon Chevron up icon
Examples 10 and 11: Using the LAMBDA Worksheet Function to Simplify Complex Formula Reports Chevron down icon Chevron up icon
New LAMBDA Helper Functions That Allow You to Use a LAMBDA Function Value in the Worksheet Chevron down icon Chevron up icon
Example 12: Three Examples of LAMBDA Helper Functions Chevron down icon Chevron up icon
Key Concepts in Chapter 16 Chevron down icon Chevron up icon
Practice Problems for Chapter 16 Chevron down icon Chevron up icon
Chapter 17: Data Analysis Basics: Standard Pivot Tables, Sorting, Filtering, Visualizations, and More Chevron down icon Chevron up icon
The Standard PivotTable Tool Chevron down icon Chevron up icon
Example 1: Using a Standard PivotTable to Create a Product Sales and Costs Report Chevron down icon Chevron up icon
Example 2: Creating a Frequency Distribution from Customer Survey Data with the Standard PivotTable Tool Chevron down icon Chevron up icon
Example 3: Using the Sort Tool to Sort the Fastest Race Times to the Top for Each Track Chevron down icon Chevron up icon
Example 4: Sorting by Color Chevron down icon Chevron up icon
Example 5: Using the Filter Tool to Extract the Blue Quad Sales Records Chevron down icon Chevron up icon
Example 6: Filtering to Extract Student Records Based on AND and OR Logical Tests Chevron down icon Chevron up icon
More About the Fast and Easy Standard PivotTable Tool Chevron down icon Chevron up icon
Example 7: Changing the Functions in a Standard PivotTable by Using Summarize Values By Chevron down icon Chevron up icon
Example 8: Using the Standard PivotTable Group Feature to Create a Yearly Sales Report Chevron down icon Chevron up icon
Example 9: Filtering a Standard PivotTable Report Using a Slicer Chevron down icon Chevron up icon
Example 10: Creating Seven Standard PivotTable Reports with a Single Click Chevron down icon Chevron up icon
Example 11: Creating a Cross-Tabulated Report and Visualization Using a Standard PivotTable and PivotChart Chevron down icon Chevron up icon
Visualizing with Excel Charts Chevron down icon Chevron up icon
Example 12: Visualizing with a Clustered Column Chart or a Stacked Column Chart Chevron down icon Chevron up icon
Example 13: Visualizing with a Clustered Bar Chart or a Stacked Bar Chart Chevron down icon Chevron up icon
Example 14: Creating a Frequency Distribution and Histogram Chart with a PivotTable and a PivotChart Chevron down icon Chevron up icon
Example 15: Visualizing with a Line Chart to Show Changes and Trends over Time Chevron down icon Chevron up icon
Examples 16 and 17: Using an X-Y Scatter Chart to Visualize the Relationship Between Two Quantitative Variables Chevron down icon Chevron up icon
Example 18: Analyzing Data Using Artificial Intelligence to Create a Beautiful X-Y Scatter Chart Chevron down icon Chevron up icon
Example 19: Visualizing Tables of Data Chevron down icon Chevron up icon
Example 20: Using PivotTable Styles Chevron down icon Chevron up icon
Example 21: Using Conditional Formatting to Add a Heat Map or Color Scales to a Table Report Chevron down icon Chevron up icon
Example 22: Using Conditional Formatting for a PivotTable Report to Show the Top 5 Values Chevron down icon Chevron up icon
Example 23: Using Data Bars Conditional Formatting to Make an In-Cell Histogram Chevron down icon Chevron up icon
Examples 24 and 25: Using Worksheet Date Formulas to Create Date Attribute Fields Chevron down icon Chevron up icon
Cleaning and Transforming Data by Recognizing Patterns in the Data: Worksheet Formulas, Flash Fill, Power Query, or DAX? Chevron down icon Chevron up icon
Example 26: Using Worksheet Text Formulas to Clean and Transform Data and Create Text Attribute Fields Chevron down icon Chevron up icon
Example 27: Using Flash Fill to Perform One-Time Cleaning Tasks Where the Pattern Is Consistent Chevron down icon Chevron up icon
Example 28: Using Dashboards to Gauge Activity as New Data Arrives Chevron down icon Chevron up icon
Key Concepts in Chapter 17 Chevron down icon Chevron up icon
Keyboard Shortcuts Learned in Chapter 17 Chevron down icon Chevron up icon
Practice Problems for Chapter 17 Chevron down icon Chevron up icon
Chapter 18: Advanced Data Analysis with Power Query, Power Pivot, Power BI, M Code, and DAX Chevron down icon Chevron up icon
Useful Information: Summary Reports, Visualizations, and Dashboards Chevron down icon Chevron up icon
Microsoft’s Data Analysis Tools Chevron down icon Chevron up icon
Important Data Analysis Definitions and Concepts Chevron down icon Chevron up icon
Data Modeling Basics Chevron down icon Chevron up icon
The Data Model Tool in Excel Power Pivot and Power BI Desktop Chevron down icon Chevron up icon
The Process of Turning Data into Information: The 10-Step Data Analysis Process Chevron down icon Chevron up icon
Data Analysis Examples Chevron down icon Chevron up icon
Example 1: Using Worksheet Formulas, a Standard PivotTable, and an Excel Chart to Create a Product Sales Report and Visualization Chevron down icon Chevron up icon
Example 2: Using the Excel App with Power Query, a Power Pivot Data Model PivotTable, and an Excel Chart to Create a Product Sales Report and Visualization Chevron down icon Chevron up icon
Comparing M Code, DAX Formulas, Worksheet Formulas, and Standard PivotTable Calculations Chevron down icon Chevron up icon
Example 3: Using the Power BI Desktop App to Create a Product Sales Report and Power BI Online for Sharing and Collaboration Chevron down icon Chevron up icon
Key Concepts in Chapter 18 Chevron down icon Chevron up icon
Practice Problems for Chapter 18 Chevron down icon Chevron up icon
Chapter 19: Data Analysis Examples: Big Data and Complex Data Analysis Chevron down icon Chevron up icon
Project 1: Converting 12 CSV Files with 35,000 Rows of Data into a Report with Four Key Metrics Chevron down icon Chevron up icon
Project 2: Importing SQL Big Data, Building DAX Formulas, and Creating an Interactive Power BI Desktop Report Chevron down icon Chevron up icon
Project 3: Combining Data from Multiple Excel Files and Creating a Summary Report—All with Power Query! Chevron down icon Chevron up icon
Project 4: Combining All Excel Table Data in the Current Workbook File into a Standard PivotTable Report Chevron down icon Chevron up icon
Project 5: Using Power Query M Code to Fix Inconsistent Datasets from Multiple Excel Files So They Can Be Combined Chevron down icon Chevron up icon
Key Concepts in Chapter 19 Chevron down icon Chevron up icon
Keyboard Shortcuts Learned in Chapter 19 Chevron down icon Chevron up icon
Practice Problems for Chapter 19 Chevron down icon Chevron up icon
Chapter 20: The Macro Recorder and the VBA Editor Chevron down icon Chevron up icon
Using the Excel Workbook .xlsm File Extension to Allow VBA Code in an Excel File Chevron down icon Chevron up icon
Showing the Developer Tab in the Excel Ribbon Chevron down icon Chevron up icon
Using the Macro Recorder and a Form Control Button to Help a User Refresh a Query Chevron down icon Chevron up icon
Using the Macro Dialog Box and the VBA Editor Window to View VBA Code Chevron down icon Chevron up icon
Using the Macro Recorder and the Use Relative References Button to Write VBA Code That You Can Use for Repetitive Tasks Chevron down icon Chevron up icon
Using the Personal Macro Workbook to Create Universal VBA Macros Chevron down icon Chevron up icon
Copying VBA Code from the Internet and Pasting It into a VBA Module Chevron down icon Chevron up icon
Chapter 20 Key Concepts Chevron down icon Chevron up icon
Keyboard Shortcuts Learned in Chapter 20 Chevron down icon Chevron up icon
Practice Problems for Chapter 20 Chevron down icon Chevron up icon
Chapter 21: Financial Worksheet Functions Chevron down icon Chevron up icon
Financial Terms and Variables Used in Financial Cash Flow Analysis Chevron down icon Chevron up icon
The FV Function Chevron down icon Chevron up icon
PV Function Chevron down icon Chevron up icon
PMT Function Chevron down icon Chevron up icon
NPER Function Chevron down icon Chevron up icon
RATE Function Chevron down icon Chevron up icon
NPV Function Chevron down icon Chevron up icon
XNPV Function Chevron down icon Chevron up icon
Chapter 21 Key Concepts Chevron down icon Chevron up icon
Practice Problems for Chapter 21 Chevron down icon Chevron up icon
Chapter 22: Simple Linear Regression Worksheet Functions Chevron down icon Chevron up icon
Simple Linear Regression Variables and Definitions Chevron down icon Chevron up icon
Excel Worksheet Functions for Simple Linear Regression Chevron down icon Chevron up icon
Chapter 22 Key Concepts Chevron down icon Chevron up icon
Practice Problems for Chapter 22 Chevron down icon Chevron up icon
The End Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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