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Microsoft 365 Excel : The Only App that Matters: Calculations, Analytics, Modeling, Data Analysis and Dashboard Reporting for the New Era of Dynamic Data Driven Decision Making & Insight.
- Format:
- Book
- Author/Creator:
- Girvin, Mike.
- Language:
- English
- Subjects (All):
- Electronic spreadsheets.
- Microsoft Excel (Computer file).
- Physical Description:
- 1 online resource (826 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Chicago : Holy Macro! Books, 2021.
- Summary:
- This is a book about Microsoft 365 Excel, or Excel 365. With a new formula calculations engine and many new built-in functions, creating formula solutions and business models in Excel 365 is dramatically easier than at any time in the history of spreadsheets. In addition, with the new data tools like Power Query, Power Pivot, and Power BI, performing data analysis to make data driven decisions can be easily done on data with different structures, with different sources, and on small and big data alike. With this exciting new Excel 365 version, we will learn three types for formulas: Worksheet, M Code, and DAX, and we will learn three types of Reporting/Dashboarding tools: Standard PivotTables, Data Model PivotTables, and Power BI Visualizations. This means that the New Excel 365 is the only app that matters in our age of analytics and data driven decisions. Who is this book/class for? Everyone. The book starts at the beginning and moves to an advanced level by telling a logical story about how to use Excel to solve calculation-based problems and answer crucial questions.
- Contents:
- Intro
- Preface/Forward/Intro
- Microsoft 365 Excel: The Only App That Matters
- Dedications
- About the Author
- Acknowledgements
- Introduction
- Who This Book Is For
- PC Versus Mac Excel
- Following Along with Excel Files
- Chapter 1: Why Excel 365?
- The Worksheet Formula Calculation Engine
- Array Formulas
- New Array Functions: UNIQUE and FILTER
- The New XLOOKUP and LET Functions
- Power Query and the M Code Formula Language
- Power Pivot, the Data Model, and DAX Formulas
- Power BI Desktop for Creating Visualizations and Reports
- Key Concepts in Chapter 1
- Chapter 2: Why the Spreadsheet Was Invented
- Key Concepts in Chapter 2
- Chapter 3: What Does Excel Do?
- Key Concepts in Chapter 3
- Chapter 4: Key Concepts Used to Create Excel Solutions
- Key Concepts in Chapter 4
- Chapter 5: The Structure of Excel Files and Worksheets
- The Two-Way Grid: Cells, Worksheets, and Workbooks
- Worksheet Navigation
- Excel Data and Default Alignment in Cells
- The Excel Command Environment
- The Quick Access Toolbar
- The File Menu and Backstage View
- File Management
- Key Concepts in Chapter 5
- Keyboard Shortcuts Learned in Chapter 5
- Chapter 6: Keyboard Keys and Shortcuts
- Keyboard Shortcuts
- Key Concepts in Chapter 6
- Keyboard Shortcuts Learned in Chapter 6
- Chapter 7: Worksheet Efficiency Tricks
- Using Worksheet Mouse Cursors
- Entering Content into Cells with Five Different Keyboard Shortcuts
- Selecting a Range of Cells
- Jumping Around in a Worksheet
- Key Concepts in Chapter 7
- Chapter 8: Worksheet Formulas, Formatting, and Setup to Solve Problems
- Creating a Sample Worksheet
- Using the Proper Dataset Format
- Adding Style Formatting
- Entering the Data
- Using Worksheet Formulas, Functions, Cell References, and Aggregate Operations
- Checking Your Work and Verifying Your Formulas.
- Using Relative Cell References
- Adding Number Formatting
- Using the Format Painter
- Inserting Rows into a Worksheet
- Calculating Percentages
- Understanding Absolute Cell References
- Documenting Your Work
- Spilling Dynamic Array Formulas and Array Operations
- Using the Excel Table Feature
- Sorting and Filtering
- Setting Up a Page for Printing
- Adding New Data to a Dynamic Solution by Using a Text File
- Converting a Solution to a PDF File
- Key Concepts in Chapter 8
- Keyboard Shortcuts Learned in Chapter 8
- Practice Problems for Chapter 8
- Chapter 9: A Golden Rule for Building Excel Models
- How Violating the Golden Rule Can Get You into Trouble
- Benefits of Following the Golden Rule
- Example 1: Commission Pay Worksheet Formula
- Example 2: Monthly Expense Formula with Hard-Coded Formula Input
- Example 3: COUNTIFS Worksheet Function to Count with a Condition
- Example 4: UNIQUE Array Function and Data Validation List
- Example 5: Conditional Formatting
- What-If Analysis and Excel Models
- Key Concepts in Chapter 9
- Keyboard Shortcuts Learned in Chapter 9
- Practice Problems for Chapter 9
- Chapter 10: Knowing When to Use the ROUND Function
- The ROUND Function Rule
- Example 1: Using the ROUND Function to Get Accurate Totals for Tax Deduction Calculations
- Example 2: Rounding to the Dollar
- Example 3: Rounding for a Sales Invoice
- Example 4: Rounding a Percentage
- Key Concepts in Chapter 10
- Practice Problems for Chapter 10
- Chapter 11: Date and Time Number Formatting and Formulas
- Date Number Formatting, Date Serial Numbers, and Date Formulas
- The Format Cells Dialog Box and Custom Date Number Formatting
- Calculating the Difference Between Two Dates
- Counting Workdays with NETWORKDAYS.INTL
- Adding Days to Dates and Subtracting Days from Dates.
- Time Number Formatting, Time Serial Numbers, and Time Formulas
- Example 1: Calculating Hours Worked
- Example 2: Calculating Hours Worked When There Is a Lunch Break
- Example 3: Using the Time Number Format to Show Hours Greater Than 24 Hours
- Example 4: Calculating Hours Worked for a Night Shift
- Example 5: Rounding a Time Value to Within 5 Minutes with the MROUND Function
- Keyboard Shortcuts and Custom Date and Time Number Formatting
- Key Concepts in Chapter 11
- Keyboard Shortcuts Learned in Chapter 11
- Practice Problems for Chapter 11
- Chapter 12: Worksheet Formula Types and Formula Elements
- Worksheet Formula Types
- Worksheet Formula Elements
- Order of Operator Precedence in Worksheet Formulas
- My Golden Rule, the ROUND Function, and Number Formatting As a Façade
- Example 1: Number Formula for Average Customer Ratings
- Example 2: Using a Text Formula to Join First and Last Names in a Cell
- Example 3: Using a Logical Formula to Determine Whether Accounts Are in Balance
- Examples 4 Through 6: Using a Cost of Goods Sold Formula with a Spilled Array, Relative Cell References, or Table Formula Nomenclature
- Example 7: Dynamically Extracting the Top N Values by Using the Comma Reference Operator
- Example 8: Adding the Top Three Boomerang MTA Scores and Ranking with the RANK.EQ Worksheet Function
- Example 9: Looking Up the Price for Invoicing by Using the XLOOKUP Worksheet Function
- Example 10: Looking Up All the Rows in a Column by Using the XLOOKUP Function
- Example 11: Looking Up a List of Student Classes by Using the FILTER Function
- Example 12: Using the SUMIFS Worksheet Function to Create a Sales and Costs Report by Product
- Example 13: Conducting a Customer Credit Analysis with the AND Function and Mixed Cell References
- Example 14: Knowing When Mixed Cell References Are Required.
- Example 15: Conditionally Formatting a Row with a Logical Formula and Mixed Cell References
- Example 16: Extracting Records from an Excel Table with the FILTER Function and Defined Names
- Example 17: Conditional Formatting for Dynamic Spilled Array Formulas
- Example 18: Building a Stock Value Table with Data Types and the Dot Operator for a Stock Data Type
- Example 19: Building Formulas Between Worksheets by Using Worksheet References
- Examples 20 and 21: Building Formulas Between Workbooks by Using Workbook References
- Examples 22 and 23: The Space Operator for Intersecting Values and the Better Alternative, XLOOKUP
- Example 24: Using the Colon Reference Operator and 3D Cell References to Add Across Multiple Worksheets
- Example 25: Using Table Formula Nomenclature Absolute and Mixed References
- Key Concepts in Chapter 12
- Keyboard Shortcuts Learned in Chapter 12
- Practice Problems for Chapter 12
- Chapter 13: Logical Tests and Related Functions (AND, ISNUMBER, IF, IFS, FILTER, SUMIFS, and More)
- Comparison Operators
- Logical Tests
- Example 1: Creating a Logical Test with a Single Condition
- Example 2: Using Math Operations to Convert TRUE to 1 and FALSE to 0
- Example 3: Using IS Worksheet Functions
- Types of Logical Tests: Single Condition, Contains, NOT, AND, BETWEEN, and OR
- Logical Functions That Deliver a Single Scalar Boolean Value: AND, OR, and NOT
- Example 4: Using an AND Function to Run an AND Logical Test
- Example 5: Using an OR Function to Run an OR Logical Test
- Example 6: Creating an AND Boolean Math Formula to Run an AND Logical Test
- Example 7: Creating an OR Boolean Math Formula to Run an OR logical Test
- Example 8: Nesting the OR Function Inside the AND Function to Run a Complex Logical Test
- Example 9: Using a None Are True Logical Test or a NOT NOT Logical Test.
- Example 10: Using a BETWEEN Logical Test
- Example 11: Conditionally Formatting a Row with an AND Logical Test and Mixed Cell References
- Example 12: Creating a Test Where Any Nonzero Number Is Considered a TRUE Value
- Example 13: Using the SEARCH and ISNUMBER Functions in a Contains Logical Test
- Example 14: Using Formula Wildcards to Create a Contains Logical Test Inside the COUNTIFS Worksheet Function
- Logical Worksheet Functions That Deliver Values: IF, IFS, IFNA, IFERROR, and FILTER
- Example 15: Using the IF Function to Deliver One of Two Number Values: 750 or 0
- Example 16: Using the IF Function to Deliver One of Two Text Values: Over or Under
- Examples 17 and 18: Using the IF Function to Deliver a Formula or Show Nothing
- Examples 19 and 20: Using the AND and OR Functions Inside the IF Function
- Example 21: Creating an AND Logical Test That Can Spill Results
- Example 22: Using the IFS Function When You Have Three or More Things to Put in a Cell
- Examples 23 and 24: Using the IFNA Function to Replace the #N/A Error with Something Different
- Examples 25: Using the IF Function Instead of IFERROR
- Examples 26: Using the IF Function Inside an Aggregate Function to Make a Conditional Calculation
- Examples 27: Putting a Boolean AND Logical Test Inside the FILTER Function to Filter a Dataset
- Examples 28: Putting a Boolean OR Logical Test Inside the FILTER Function to Filter a Dataset
- Example 29: Comparing Two Lists and Extracting Results Using XMATCH and Other Functions
- Using IFS Aggregate Functions (COUNTIFS, SUMIFS, AVERAGEIFS, MINIFS, and MAXIFS) to Calculate Based on an AND Logical Test
- Example 30: Using IFS Aggregate Functions to Make Calculations with Three Criteria
- Example 31: Taking a Closer Look at Using the SUMIFS Function to Run an AND Logical Test with Three Criteria.
- Example 32: Using the SUMIFS Function with Three Criteria in a Cross-Tabulated Report.
- Notes:
- Description based upon print version of record.
- Description based on publisher supplied metadata and other sources.
- Other Format:
- Print version: Girvin, Mike Microsoft 365 Excel: The Only App That Matters
- ISBN:
- 9781615471560
- OCLC:
- 1333084296
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