{"id":35335,"date":"2024-06-30T11:02:53","date_gmt":"2024-06-30T11:02:53","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86%db%8c-%d9%88-%d8%aa%d9%82%d8%b3%db%8c%d9%85-%d8%a8%d9%86%d8%af%db%8c-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7-%d8%a8%d8%a7-%d8%a7%d8%b3\/"},"modified":"2024-12-29T04:35:41","modified_gmt":"2024-12-29T05:35:41","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86%db%8c-%d9%88-%d8%aa%d9%82%d8%b3%db%8c%d9%85-%d8%a8%d9%86%d8%af%db%8c-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7-%d8%a8%d8%a7-%d8%a7%d8%b3","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86%db%8c-%d9%88-%d8%aa%d9%82%d8%b3%db%8c%d9%85-%d8%a8%d9%86%d8%af%db%8c-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7-%d8%a8%d8%a7-%d8%a7%d8%b3\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0648 \u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u0627\u06cc\u06a9\u0631\u0648\u0633\u0627\u0641\u062a \u0627\u06a9\u0633\u0644\u061b \u0627\u0646\u062c\u0627\u0645 \u06af\u0631\u0648\u0647 \u0628\u0646\u062f\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627\u06cc \u062e\u0637\u06cc \u0648 \u0622\u0645\u0627\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0633\u0631\u06cc \u0647\u0627\u06cc \u0632\u0645\u0627\u0646\u06cc \u0628\u062f\u0648\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u062f"},"content":{"rendered":"<p>&nbsp;<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" title=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Data Forecasting and Segmentation Using Microsoft Excel: Perform data grouping, linear predictions, and time series machine learning statistics without using code\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/06\/9781803247731.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Data Forecasting and Segmentation Using Microsoft Excel: Perform data grouping, linear predictions, and time series machine learning statistics without using code\" \/><\/div>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\n<h3>\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc:<\/h3>\n<\/td>\n<td>\n<h3>Data Forecasting and Segmentation Using Microsoft Excel: Perform data grouping, linear predictions, and time series machine learning statistics without using code<\/h3>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: 2022\u00a0\u00a0|\u00a0\u00a0325 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 11 \u0645\u06af\u0627\u0628\u0627\u06cc\u062a\u00a0\u00a0|\u00a0\u00a0\u0632\u0628\u0627\u0646: \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u0647<\/td>\n<td>Fernando Roque<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0627\u0634\u0631<\/td>\n<td>Packt Publishing<\/td>\n<\/tr>\n<tr>\n<td>ISBN10:<\/td>\n<td>1803247738<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9781803247731<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/h2>\n<div style=\"direction: ltr;\">Perform time series forecasts, linear prediction, and data segmentation with no-code Excel machine learning<br \/>\nKey FeaturesSegment data, regression predictions, and time series forecasts without writing any code<br \/>\nGroup multiple variables with K-means using Excel plugin without programming<br \/>\nBuild, validate, and predict with a multiple linear regression model and time series forecastsBook Description<\/p>\n<p>Data Forecasting and Segmentation Using Microsoft Excel guides you through basic statistics to test whether your data can be used to perform regression predictions and time series forecasts. The exercises covered in this book use real-life data from Kaggle, such as demand for seasonal air tickets and credit card fraud detection.<\/p>\n<p>You&#8217;ll learn how to apply the grouping K-means algorithm, which helps you find segments of your data that are impossible to see with other analyses, such as business intelligence (BI) and pivot analysis. By analyzing groups returned by K-means, you&#8217;ll be able to detect outliers that could indicate possible fraud or a bad function in network packets.<\/p>\n<p>By the end of this Microsoft Excel book, you&#8217;ll be able to use the classification algorithm to group data with different variables. You&#8217;ll also be able to train linear and time series models to perform predictions and forecasts based on past data.<br \/>\nWhat you will learn<\/p>\n<p>Understand why machine learning is important for classifying data segmentation<br \/>\nFocus on basic statistics tests for regression variable dependency<br \/>\nTest time series autocorrelation to build a useful forecast<br \/>\nUse Excel add-ins to run K-means without programming<br \/>\nAnalyze segment outliers for possible data anomalies and fraud<br \/>\nBuild, train, and validate multiple regression models and time series forecasts<\/p>\n<p>Who this book is for<\/p>\n<p>This book is for data and business analysts as well as data science professionals. MIS, finance, and auditing professionals working with MS Excel will also find this book beneficial.<br \/>\nTable of Contents<\/p>\n<p>Understanding Data Segmentation<br \/>\nApplying Linear Regression<br \/>\nWhat is Time Series?<br \/>\nAn Introduction to Data Grouping<br \/>\nFinding the Optimal Number of Single Variable Groups<br \/>\nFinding the Optimal Number of Multi-Variable Groups<br \/>\nAnalyzing Outliers for Data Anomalies<br \/>\nFinding the Relationship between Variables<br \/>\nBuilding, Training, and Validating a Linear Model<br \/>\nBuilding, Training, and Validating a Multiple Regression Model<br \/>\nTesting Data for Time Series Compliance<br \/>\nWorking with Time Series Using the Centered Moving Average and a Trending Component<br \/>\nTraining, Validating, and Running the Model<\/p>\n<\/div>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 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\u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Microsoft Excel \u0634\u0645\u0627 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0622\u0645\u0627\u0631 \u0627\u0633\u0627\u0633\u06cc \u0631\u0627\u0647\u0646\u0645\u0627\u06cc\u06cc \u0645\u06cc \u06a9\u0646\u062f \u062a\u0627 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u062f \u06a9\u0647 \u0622\u06cc\u0627 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0648 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627\u06cc \u0633\u0631\u06cc \u0632\u0645\u0627\u0646\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.\u062a\u0645\u0631\u06cc\u0646\u0627\u062a \u062a\u062d\u062a \u067e\u0648\u0634\u0634 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0632\u0646\u062f\u06af\u06cc \u0648\u0627\u0642\u0639\u06cc \u0627\u0632 Kaggle \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f \u060c \u0645\u0627\u0646\u0646\u062f \u062a\u0642\u0627\u0636\u0627 \u0628\u0631\u0627\u06cc \u0628\u0644\u06cc\u0637 \u0647\u0627\u06cc \u0647\u0648\u0627\u06cc \u0641\u0635\u0644\u06cc \u0648 \u062a\u0634\u062e\u06cc\u0635 \u06a9\u0644\u0627\u0647\u0628\u0631\u062f\u0627\u0631\u06cc \u06a9\u0627\u0631\u062a \u0627\u0639\u062a\u0628\u0627\u0631\u06cc.<\/p>\n<p>\u0634\u0645\u0627 \u06cc\u0627\u062f \u0645\u06cc \u06af\u06cc\u0631\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06af\u0631\u0648\u0647 \u0628\u0646\u062f\u06cc K-Means \u0631\u0627 \u0627\u0639\u0645\u0627\u0644 \u06a9\u0646\u06cc\u062f \u060c \u06a9\u0647 \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f \u0628\u062e\u0634 \u0647\u0627\u06cc\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0628\u0627 \u0633\u0627\u06cc\u0631 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0647\u0627 \u060c \u0645\u0627\u0646\u0646\u062f \u0647\u0648\u0634 \u062a\u062c\u0627\u0631\u06cc (BI) \u0648 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0645\u062d\u0648\u0631\u06cc \u060c \u063a\u06cc\u0631\u0645\u0645\u06a9\u0646 \u0627\u0633\u062a.\u0628\u0627 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u06af\u0631\u0648\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u062a\u0648\u0633\u0637 K-Means \u0628\u0631\u06af\u0634\u062a\u0647 \u0627\u0646\u062f \u060c \u0634\u0645\u0627 \u0642\u0627\u062f\u0631 \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0648\u062f \u062a\u0627 \u062f\u0648\u0631 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\u0646\u0627\u0645 \u062e\u0627\u0646\u0648\u0627\u062f\u06af\u06cc \u0648 \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0631\u0627 \u067e\u06cc\u0627\u0645\u06a9 \u0628\u0632\u0646\u06cc\u062f \u062a\u0627 \u0644\u06cc\u0646\u06a9 \u0645\u062d\u0635\u0648\u0644 \u0633\u0631\u06cc\u0639\u0627 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0627\u0631\u0633\u0627\u0644 \u06af\u0631\u062f\u062f.\r\n\t\t\t<br \/><br \/>\r\n\t\t\t\u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633: 09395106248 \r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n<\/table>\r\n<br \/>\r\n\r\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; \u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc: Data Forecasting and Segmentation Using Microsoft Excel: Perform data grouping, linear predictions, and time series [&hellip;]<\/p>\n","protected":false},"featured_media":35336,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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