Data Analysis with Microsoft Excel Updated for Office 2007 3rd Edition by Kenneth N Berk, Patrick M Carey ISBN 0538494670 9780538494670

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Product details:

ISBN 10: 0538494670 
ISBN 13: 9780538494670
Author: Kenneth N Berk, Patrick M Carey

This popular best-selling book shows students and professionals how to do data analysis with Microsoft Excel. DATA ANALYSIS WITH MICROSOFT EXCEL teaches the fundamental concepts of statistics and how to use Microsoft Excel to solve the kind of data-intensive problems that arise in business and elsewhere. Even students with no previous experience using spreadsheets will find that this text�s step-by-step approach, extensive tutorials, and examples make it easy to learn how to use Excel for analyzing data. A downloadable StatPlus� add-in for Microsoft Excel, data sets for exercises, and interactive concept tutorials are available on the Book Companion Website.

Data Analysis with Microsoft Excel Updated for Office 2007 3rd Table of contents:

Chapter 1: Introduction to Excel for Data Analysis

1. Overview of Excel’s Role in Data Analysis
2. New Features in Excel 2007 for Data Analysis
3. The Excel Interface: Understanding the Ribbon and Tools
4. Preparing Data for Analysis: Organizing and Cleaning Data
5. Navigating Worksheets, Workbooks, and Data Ranges
6. Overview of Excel Functions and Formulas

Chapter 2: Data Organization and Management

1. Sorting Data by Multiple Criteria
2. Filtering Data Using AutoFilter and Advanced Filters
3. Using the Data Validation Tool for Input Control
4. Understanding and Using Excel Tables
5. Grouping and Outlining Data for Better Viewing
6. Removing Duplicates and Handling Errors in Data

Chapter 3: Basic Data Analysis Techniques

1. Using Basic Formulas for Calculations
2. Using SUM, AVERAGE, COUNT, and Other Statistical Functions
3. Using Conditional Functions: IF, SUMIF, COUNTIF
4. Introduction to PivotTables for Data Summarization
5. Working with PivotCharts for Data Visualization
6. Applying Basic Descriptive Statistics: Mean, Median, Mode, and Standard Deviation

Chapter 4: Advanced Excel Functions for Data Analysis

1. Lookup Functions: VLOOKUP, HLOOKUP, INDEX, and MATCH
2. Logical Functions: AND, OR, NOT
3. Using the DATE and TIME Functions for Temporal Analysis
4. Text Functions: LEFT, RIGHT, MID, CONCATENATE, FIND
5. Array Formulas: Using CSE (Ctrl+Shift+Enter) for Complex Calculations
6. Financial Functions for Analyzing Cash Flow, ROI, and Investments

Chapter 5: Data Visualization Techniques

1. Introduction to Data Visualization and Excel Charts
2. Creating Column, Line, and Pie Charts
3. Creating Scatter Plots and Bubble Charts
4. Customizing Charts: Titles, Legends, and Axis Formatting
5. Using Sparklines for Small-Scale Data Visualization
6. Conditional Formatting for Dynamic Data Presentation

Chapter 6: Using Statistical Analysis Tools in Excel

1. Descriptive Statistics with the Data Analysis Toolpak
2. Correlation Analysis: Pearson’s Coefficient and Covariance
3. Hypothesis Testing: T-Tests and ANOVA
4. Regression Analysis for Predictive Modeling
5. Using the Analysis Toolpak for Probability Distributions
6. Creating and Interpreting Histograms

Chapter 7: Solving Business Problems with Excel

1. Using Excel for Financial Analysis: Budgets, Forecasts, and Projections
2. Decision Analysis: Using Excel to Solve Business Problems
3. Sensitivity Analysis with Excel’s Data Table Function
4. Scenario Manager for Analyzing Different Business Scenarios
5. Goal Seek for Solving Problems Backwards
6. Creating Monte Carlo Simulations with Excel

Chapter 8: Managing Large Datasets in Excel

1. Importing Data from External Sources: Text Files, Databases, and Web
2. Using PowerPivot for Large Datasets and Complex Models
3. Filtering Large Datasets with Advanced Filters
4. Working with Database Functions in Excel
5. Using Excel for Data Cleansing: Removing Outliers and Missing Data
6. Optimizing Excel for Handling Large Datasets

Chapter 9: Using Excel for Time-Series Analysis

1. Introduction to Time-Series Data
2. Plotting Time-Series Data with Excel Charts
3. Identifying Trends and Patterns in Time-Series Data
4. Moving Averages and Smoothing Techniques
5. Forecasting with Exponential Smoothing and Trendlines
6. Using the FORECAST Function for Predictions

Chapter 10: Automating Data Analysis with Excel Macros

1. Introduction to Macros and VBA for Excel
2. Recording Simple Macros for Repetitive Tasks
3. Editing Macros in the Visual Basic Editor
4. Writing Custom VBA Functions for Data Analysis
5. Automating Reports and Data Processing Tasks with VBA
6. Debugging and Optimizing VBA Code for Performance

Chapter 11: Collaboration and Sharing Data Analysis Results

1. Using Excel for Team Collaboration: Shared Workbooks and Comments
2. Protecting and Securing Data with Passwords and Permissions
3. Sharing Excel Workbooks and Worksheets with Others
4. Publishing Excel Reports to the Web
5. Exporting Data Analysis Results to PDF and Other Formats
6. Using Excel in Business Intelligence and Reporting Dashboards

Chapter 12: Troubleshooting and Error Handling

1. Common Excel Errors and How to Fix Them
2. Troubleshooting Formulas and Functions
3. Using the Formula Auditing Tools in Excel
4. Debugging and Tracing Formula Errors
5. Managing Data Validation Errors
6. Using the Error Checking Tool and Excel’s Help Features

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