Microsoft Excel Functions in Practice 1st edition by Patrick Blattner – Ebook PDF Instant Download/Delivery. 0789720450, 978-0789720450
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Product details:
ISBN 10: 0789720450
ISBN 13: 978-0789720450
Author: Patrick Blattner
Microsoft Excel Functions in Practice 1st Table of contents:
Chapter 1: Introduction to Excel Functions
- Understanding Functions in Excel
- Basic Function Syntax and Structure
- The Function Wizard
- Using the Formula Bar
- Built-in Functions in Excel
Chapter 2: Working with Text Functions
- Using
CONCATENATEandTEXTJOIN - Manipulating Text with
LEFT,RIGHT,MID - Using
UPPER,LOWER, andPROPERfor Text Case - Extracting Text with
FINDandSEARCH - Text Formatting with
TEXT - Combining Functions for Text Manipulation
Chapter 3: Date and Time Functions
- Using
TODAYandNOW - Extracting Date Parts with
DAY,MONTH,YEAR - Calculating Date Differences with
DATEDIFandNETWORKDAYS - Date and Time Formatting
- Handling Time Calculations with
TIMEandHOUR,MINUTE,SECOND - Advanced Date Functions for Business Calculations
Chapter 4: Mathematical Functions
- Basic Mathematical Operations in Excel
- Using
SUM,AVERAGE,COUNT,COUNTA ROUND,ROUNDUP,ROUNDDOWN- Applying
MIN,MAX, andMEDIAN - Using
MOD,QUOTIENT, andPOWER - Complex Mathematical Functions for Financial Calculations
Chapter 5: Logical Functions
- Working with
IFStatements - Nested
IFFunctions AND,OR, andNOTfor Multiple Conditions- Using
IFERRORandIFNAfor Error Handling - Creating Conditional Statements with
CHOOSE - Practical Examples of Logical Functions
Chapter 6: Lookup and Reference Functions
- Introduction to Lookup Functions
- Using
VLOOKUPandHLOOKUP - Advanced
VLOOKUPwith Approximate and Exact Match - Using
INDEXandMATCHfor Flexible Lookups - Combining
INDEX/MATCHfor Two-Dimensional Lookup - Using
INDIRECT,OFFSET, andCHOOSEfor Dynamic References
Chapter 7: Statistical Functions
- Calculating Mean, Median, Mode with
AVERAGE,MEDIAN,MODE - Analyzing Data Variability with
STDEVandVAR - Using
PERCENTILEandQUARTILEfor Data Distribution CORRELandCOVARfor Relationship Analysis- Statistical Analysis with
FREQUENCY,RANK, andCOUNTIF
Chapter 8: Financial Functions
- Introduction to Financial Functions in Excel
- Calculating Interest with
PMT,RATE,NPER, andFV - Understanding
PV,NPV, andIRRfor Investment Analysis - Using
SLNandDBfor Depreciation Calculations - Applying
FV,PV, andNPERin Loan Amortization
Chapter 9: Data Analysis Functions
- Using
SUMIFandCOUNTIFfor Conditional Calculations - Multiple Criteria with
SUMIFSandCOUNTIFS - Analyzing Data with
AVERAGEIFandAVERAGEIFS - Working with
SUBTOTALandAGGREGATE FORECASTandTRENDfor Predictive Analysis- Using
RANK.AVGandRANK.EQfor Ranking Data
Chapter 10: Array Functions
- Introduction to Array Formulas
- Using Array Functions with
TRANSPOSE,FREQUENCY, andMMULT - Entering and Managing Array Formulas
- Practical Applications of Array Functions
- Using Dynamic Arrays in Excel 365/Excel 2021
Chapter 11: Database Functions
- Introduction to Database Functions
- Using
DSUM,DCOUNT,DAVERAGEfor Database Analysis - Filtering and Summarizing Data with
DGET,DMIN, andDMAX - Working with
DPRODUCTandDVARfor Database Calculations
Chapter 12: Error Handling and Troubleshooting Functions
- Identifying Errors with
ISERRORandISBLANK - Using
IFERRORandIFNAfor Error Management - Troubleshooting Circular References and Formula Auditing
- Using
ERROR.TYPEto Identify Specific Errors - Practical Approaches to Debugging Functions
Chapter 13: Using Functions for Charting and Data Visualization
- Integrating Functions with Excel Charts
- Creating Dynamic Data Ranges for Charts with
OFFSET - Using Functions to Create Custom Dashboards
- Visualizing Financial Data with Excel Functions
- Using Conditional Formatting with Functions
Chapter 14: Customizing Functions with VBA
- Introduction to VBA for Custom Functions
- Writing User-Defined Functions (UDFs)
- Debugging and Testing UDFs in VBA
- Practical Examples of UDFs for Automation
- Enhancing Excel Functions with Macros and VBA Scripts
Chapter 15: Advanced Excel Function Techniques
- Creating Complex Nested Functions
- Combining Multiple Functions for Advanced Analysis
- Using Functions for Multi-Step Calculations
- Automating Data Entry and Analysis with Functions
- Best Practices for Efficient Function Usage
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