Excel Data Analysis The ULTIMATE PRACTICAL GUIDE to MASTERING DATA ANALYSIS USING EXCEL DATA and STATISTICAL TABLES, PIVOT TABLES, and FINANCIAL ANALYSIS TOOLS |
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Author:
| WEBINAR, J. O. E. |
ISBN: | 979-8-4208-3624-8 |
Publication Date: | Feb 2022 |
Publisher: | Independently Published
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Book Format: | Paperback |
List Price: | USD $18.99 |
Book Description:
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ANALYZE YOUR DATA LIKE A PRO!
Are you looking for an easy and advanced way to carry out your data analysis using data tables, statistics, pivot tables, and the tools for financial analysis in Excel? Have you possibly tried using other analysis options and applications to execute your data and you aren't satisfied with the results? Do wish to use Excel for descriptive and inferential statistics? Do you wish you could easily make conclusions, decisions, predictions,...
More DescriptionANALYZE YOUR DATA LIKE A PRO!
Are you looking for an easy and advanced way to carry out your data analysis using data tables, statistics, pivot tables, and the tools for financial analysis in Excel? Have you possibly tried using other analysis options and applications to execute your data and you aren't satisfied with the results? Do wish to use Excel for descriptive and inferential statistics? Do you wish you could easily make conclusions, decisions, predictions, and forecasts about your data at a glance? Do you require a guide for using the features of Excel data tables, statistics, pivot tables, and financial analysis? Then this guide on Microsoft Excel for Data Analysis is your best choice to meet these needs. Microsoft Excel is an application that gives workplaces and individuals an easy means for analyzing, representing, and carrying out statistical operations on a large number of data. With the use of data tables to put your data in a compact or readable form and Pivot Tables and Pivot Charts that are an upgraded feature from usual tables and charts, you can rest assured your data would get the best analysis treatments. Also, the advanced tools for data analysis such as Trends, Forecast, Data Models, etc. make it possible to analyze data and derive important conclusions from them.
This guide will give beginners and newbies to Microsoft Excel a solid foundation on how Excel can be used for analyzing data. Data analysis allows you to inspect, transform, clean, and model your data to derive important information and arrive at necessary conclusions and decisions. Anyone without a background in data analysis and statistics is capable of producing amazing results with the lessons provided in this guide.
Here's a peek at what this guide contains;
- Using Subtotals to Summarize Data
- Putting Related Data into Groups
- Combining Data from Different Worksheets
- Using Goal Seek for Analyzing Data
- Using Scenarios for Analyzing Data
- Analyzing Data in Excel Tables
- Getting Data from External Data Sources
- Functions in Excel Database
- Getting the Variance of Column Values
- Implementing Subtotals in Excel Pivot Tables
- About Excel Pivot Tables
- Showing Data Tables in Your Pivot Charts
- Plotting Trend Lines of Best-Fit
- Plotting Forecasted Linear Values
- Extension of the Values of a Linear Trendline
- Creating Worksheets for Forecasting
- Calculating Correlation
- Calculating Fixed and Double-Declining Balance Depreciation
- How to Calculate Moving Averages
- Deriving Random Numbers
- Carrying Out Sampling of Data
- Calculating Regression
- Samples as Subset of Values
- Inferential Statistics - Its Simplicity and Complexity
- Forms of Descriptive Statistics
- Using Excel Functions to Calculate a Loan's Cumulative Interest and Principal
- Editing the Layout of the Pivot Table Fields Pane
- Reducing Pivot Tables Workbook Sizes
- Creating a Customized Style For Your Pivot Tables
- ... and a lot more
This guide further requires an understanding and practicing reader to ensure all-around satisfaction. Working and walking with this guide would in no little way help you to judiciously utilize Microsoft Excel along with its simple and advanced features for data analysis; as this guide is the fifth in a series of helpful books on Excel.