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Data Analytics

- The Ultimate Guide to Big Data Analytics for Business, Data Mining Techniques, Data Collection, and Business Intelligence Concepts

Über Data Analytics

If you want to learn about data analytics and data mining then keep reading... 2 comprehensive manuscripts in 1 book Data Analytics: An Essential Beginner’s Guide To Data Mining, Data Collection, Big Data Analytics For Business, And Business Intelligence ConceptsData Mining: The Data Mining Guide for Beginners, Including Applications for Business, Data Mining Techniques, Concepts, and MoreWith this book, not only will you understand all the internal nitty-gritties about data analytics and data mining, you will also understand why data analytics and data mining is changing the business arena. You’ll realize that the high-performance analytics will enable you to do stuff that you never thought about before probably because the volumes of data were just too big (among other reasons) and so much more. Here are just some of the topics that are discussed in the first part of this book: Overview Of Data Analytics: What Is Data Analytics (And Big Data Analytics)?Data Analytics And Business IntelligenceData Analysis And Data AnalyticsData MiningData CollectionTypes Of Data AnalyticsThe Process: The Lifecycle Of Big Data AnalyticsBehavioral Analytics: Using Big Data Analytics To Find Hidden Customer Behavior PatternsFurther Pattern Discovery In Advanced Analytics: Machine LearningAnd Much, Much MoreIn part 2 of this book, you will learn the following: Model creationHow to prepare your dataHow to clean your dataData MiningSimilarity and distances of dataThe effect of data distributionAssociation pattern miningWhat is cluster analysis?What is an outlier in data mining?How to deal with outliers in data miningMethods of identifying outliers in dataApplications of data mining in the business industrySo if you are serious about becoming an expert in data analytics and data mining, start with this book by clicking "buy now"!

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  • Sprache:
  • Englisch
  • ISBN:
  • 9781647483296
  • Einband:
  • Gebundene Ausgabe
  • Seitenzahl:
  • 154
  • Veröffentlicht:
  • 10. Januar 2020
  • Abmessungen:
  • 264x212x15 mm.
  • Gewicht:
  • 554 g.
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Beschreibung von Data Analytics

If you want to learn about data analytics and data mining then keep reading...
2 comprehensive manuscripts in 1 book
Data Analytics: An Essential Beginner’s Guide To Data Mining, Data Collection, Big Data Analytics For Business, And Business Intelligence ConceptsData Mining: The Data Mining Guide for Beginners, Including Applications for Business, Data Mining Techniques, Concepts, and MoreWith this book, not only will you understand all the internal nitty-gritties about data analytics and data mining, you will also understand why data analytics and data mining is changing the business arena. You’ll realize that the high-performance analytics will enable you to do stuff that you never thought about before probably because the volumes of data were just too big (among other reasons) and so much more.
Here are just some of the topics that are discussed in the first part of this book:
Overview Of Data Analytics: What Is Data Analytics (And Big Data Analytics)?Data Analytics And Business IntelligenceData Analysis And Data AnalyticsData MiningData CollectionTypes Of Data AnalyticsThe Process: The Lifecycle Of Big Data AnalyticsBehavioral Analytics: Using Big Data Analytics To Find Hidden Customer Behavior PatternsFurther Pattern Discovery In Advanced Analytics: Machine LearningAnd Much, Much MoreIn part 2 of this book, you will learn the following:
Model creationHow to prepare your dataHow to clean your dataData MiningSimilarity and distances of dataThe effect of data distributionAssociation pattern miningWhat is cluster analysis?What is an outlier in data mining?How to deal with outliers in data miningMethods of identifying outliers in dataApplications of data mining in the business industrySo if you are serious about becoming an expert in data analytics and data mining, start with this book by clicking "buy now"!

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