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Microsoft Excel Functions in Practice 1st edition by Patrick Blattner ISBN 0789720450 9780789720450

Name: Microsoft Excel Functions in Practice 1st edition by Patrick Blattner ISBN 0789720450 9780789720450
SKU: EB-12974
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Authors:Blattner, Patrick. , Author sort:Blattner, Patrick. , Languages:Languages:eng

SKU: EB-12974 Category: eBook PDF Tags: Functions, Microsoft Excel, Patrick Blattner, practice 1st

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ISBN 10: 0789720450
ISBN 13: 978-0789720450
Author: Patrick Blattner

The Microsoft Excel 2000 Functions in Practice provides in-depth information on the functions that will maximize your use of the analytical tools within Excel 2000. Packed with examples and detailed insight into both the functions and their uses, this reference includes more than just discussions of the functionsit offers practical, real-world usage of them with chapters on crucial topics such as using Excel’s functions in your job, database and list-management functions, date and time functions, engineering functions, financial functions, information and logical functions, lookup and reference functions, math and trigonometry functions, and statistical and text functions.

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 CONCATENATE and TEXTJOIN
Manipulating Text with LEFT, RIGHT, MID
Using UPPER, LOWER, and PROPER for Text Case
Extracting Text with FIND and SEARCH
Text Formatting with TEXT
Combining Functions for Text Manipulation

Chapter 3: Date and Time Functions

Using TODAY and NOW
Extracting Date Parts with DAY, MONTH, YEAR
Calculating Date Differences with DATEDIF and NETWORKDAYS
Date and Time Formatting
Handling Time Calculations with TIME and HOUR, 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, and MEDIAN
Using MOD, QUOTIENT, and POWER
Complex Mathematical Functions for Financial Calculations

Chapter 5: Logical Functions

Working with IF Statements
Nested IF Functions
AND, OR, and NOT for Multiple Conditions
Using IFERROR and IFNA for Error Handling
Creating Conditional Statements with CHOOSE
Practical Examples of Logical Functions

Chapter 6: Lookup and Reference Functions

Introduction to Lookup Functions
Using VLOOKUP and HLOOKUP
Advanced VLOOKUP with Approximate and Exact Match
Using INDEX and MATCH for Flexible Lookups
Combining INDEX/MATCH for Two-Dimensional Lookup
Using INDIRECT, OFFSET, and CHOOSE for Dynamic References

Chapter 7: Statistical Functions

Calculating Mean, Median, Mode with AVERAGE, MEDIAN, MODE
Analyzing Data Variability with STDEV and VAR
Using PERCENTILE and QUARTILE for Data Distribution
CORREL and COVAR for Relationship Analysis
Statistical Analysis with FREQUENCY, RANK, and COUNTIF

Chapter 8: Financial Functions

Introduction to Financial Functions in Excel
Calculating Interest with PMT, RATE, NPER, and FV
Understanding PV, NPV, and IRR for Investment Analysis
Using SLN and DB for Depreciation Calculations
Applying FV, PV, and NPER in Loan Amortization

Chapter 9: Data Analysis Functions

Using SUMIF and COUNTIF for Conditional Calculations
Multiple Criteria with SUMIFS and COUNTIFS
Analyzing Data with AVERAGEIF and AVERAGEIFS
Working with SUBTOTAL and AGGREGATE
FORECAST and TREND for Predictive Analysis
Using RANK.AVG and RANK.EQ for Ranking Data

Chapter 10: Array Functions

Introduction to Array Formulas
Using Array Functions with TRANSPOSE, FREQUENCY, and MMULT
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, DAVERAGE for Database Analysis
Filtering and Summarizing Data with DGET, DMIN, and DMAX
Working with DPRODUCT and DVAR for Database Calculations

Chapter 12: Error Handling and Troubleshooting Functions

Identifying Errors with ISERROR and ISBLANK
Using IFERROR and IFNA for Error Management
Troubleshooting Circular References and Formula Auditing
Using ERROR.TYPE to 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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