predictive analytics: microsoft excel

Click or Press Enter to view the items in your shopping bag or Press Tab to interact with the Shopping bag tooltip. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. For a better shopping experience, please upgrade now. Goodreads helps you keep track of books you want to read. The chart echoes the message of the averages in G2:G5: Quarters 1 and 4 repeatedly get the most hits. Accurate, practical Excel predictive analysis: powerful smoothing techniques for serious data crunchers! These items are shipped from and sold by different sellers. You don’t need multimillion-dollar software: All the tools you need are available in Microsoft Excel, and all the knowledge and skills are right here, in this book! Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling,... Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control. Introduction to the 2013 Edition ....................... 1    You, Analytics, and Excel .....................................2    Excel as a Platform .......4    What’s in This Book ......4Introduction to this Edition ............................... 7    Inside the Black Box .....8    Helping Out Your Colleagues ..............................81 Building a Collector .....................................11    Planning an Approach .....................................12        A Meaningful Variable ...............................12        Identifying Sales ..13    Planning the Workbook Structure ....................13        Query Sheets .......13        Summary Sheets .18        Snapshot Formulas ....................................20        Customizing Your Formulas ........................21    The VBA Code .............23        The DoItAgain Subroutine ...................24        The DontRepeat Subroutine ................25        The PrepForAgain Subroutine ...........25        The GetNewData Subroutine ................26        The GetRank Function............................30        The RefreshSheets Subroutine .......32    The Analysis Sheets....33        Defining a Dynamic Range Name ..............34        Using the Dynamic Range Name ...............362 Linear Regression .......................................39    Correlation and Regression .............................39        Charting the Relationship .........................40        Calculating Pearson’s Correlation Coefficient ......................................43    Correlation Is Not Causation .............................45    Simple Regression .....46        Array-Entering Formulas ...........................48        Array-Entering LINEST( ) ..........................49    Multiple Regression ..49        Creating the Composite Variable ..............50        Entering LINEST( ) with Multiple Predictors .......................................51        Merging the Predictors .............................51        Analyzing the Composite Variable ............53    Assumptions Made in Regression Analysis ......54        Variability ...........55        Measures of Variability: Bartlett’s Test of Homogeneity of Variance ...57        Means of Residuals Are Zero .....................58        Normally Distributed Forecasts .................59    Using Excel’s Regression Tool ...........................59        Accessing the Data Analysis Add-ln ..........59        Accessing an Installed Add-ln ...................60        Running the Regression Tool .....................61        Understanding the Regression Tool’s Dialog Box ................................62        Understanding the Regression Tool’s Output .....................................643 Forecasting with Moving Averages ..............71    About Moving Averages ..................................71        Signal and Noise .72        Smoothing Out the Noise .........................73        Lost Periods ........74        Smoothing Versus Tracking .......................74        Weighted and Unweighted Moving Averages ....................................76        Total of Weights ..77        Relative Size of Weights ............................78        More Recent Weights Are Larger ...............78    Criteria for Judging Moving Averages .............80        Mean Absolute Deviation ..........................80        Least Squares ......80        Using Least Squares to Compare Moving Averages .............................81    Getting Moving Averages Automatically .........82        Using the Moving Average Tool .................83        Labels .................85        Output Range .....85        Actuals and Forecasts ................................85        Interpreting the Standard Errors–Or Failing to Do So .......................874 Forecasting a Time Series: Smoothing ..........89    Exponential Smoothing: The Basic Idea............90    Why “Exponential” Smoothing?

A good reference book. So predictive analytics, so far as this book is concerned, is the analysis of data such as web traffic, and finding ways to forecast what will happen based on current trends. The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your business win.

The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your business win.

You don’t need multimillion-dollar software: All the tools you need are available in Microsoft Excel, and all the knowledge and skills are right here, in this book! Use up arrow (for mozilla firefox browser alt+up arrow) and down arrow (for mozilla firefox browser alt+down arrow) to review and enter to select. But not all the tools are native to Excel. Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real-world problems in areas ranging from sales and marketing to operations.

In More Predictive Analytics, Microsoft Excel® MVP Conrad Carlberg shows how to use intuitive smoothing techniques to make remarkably accurate predictions. If you're interested in creating a cost-saving package for your students, contact your I also intend to add material to the existing chapter 7 on more advanced issues in logistic regression. A skilled analyst and trader himself, Augen offers individuals a cutting-edge To see what your friends thought of this book. Step by step, readers build on Excel skills they already have, learning advanced techniques that can help them increase revenue, reduce costs, and improve productivity. Your recently viewed items and featured recommendations, Select the department you want to search in, More Predictive Analytics: Microsoft Excel. The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your business win. You don't need multimillion-dollar software: All the tools you need are available in Microsoft Excel, and all the knowledge and skills are right here, in this book! By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself. Excel predictive analytics for serious data crunchers! A look back at the “About the Author” paragraph in Carlberg’s first book, published in 1995, shows that the only word that remains accurate is “He.” Scary.

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Please try again. Carlberg goes beyond his highly-praised Predictive Analytics, introducing proven methods for creating more specific, actionable forecasts. results. I might add some material on damped trend forecasts, which help prevent trends from getting out of control beyond the normal forecast horizon. You don’t need multimillion-dollar software: All the tools you need are available in Microsoft Excel, and all the knowledge and skills are right here, in this book! Use the Amazon App to scan ISBNs and compare prices. This shopping feature will continue to load items when the Enter key is pressed. A Powerful Pack of 10 Books bundle that teaches you all about Excel programming and Data Analytics from A-Z! Available.

After finishing graduate school, Carlberg worked at US West (a Baby Bell) in product management and at Motorola.

The largest average number of hits occurs during fall and winter, when the main 16 games and the playoffs are scheduled. It does require some knowledge of statistics for the more advanced functions described. Que Publishing; 1st Edition (August 20, 2015).

There are, of course, alternatives to Excel for predictive analytics and sales planning. | You’re beyond the basics, so dive right into ... Conquer Microsoft Access 2013—from the inside out! Submit your email address to receive Barnes & Noble offers & updates.

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