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Data Analytics: Techniques and Applications - by  Julio Bolton (Hardcover) - 1 of 1

Data Analytics: Techniques and Applications - by Julio Bolton (Hardcover)

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Highlights

  • Data analytics involves inspecting, transforming and modeling data with the objective of discovering useful information and conclusions.
  • Author(s): Julio Bolton
  • 238 Pages
  • Computers + Internet, Databases

Description



About the Book



Data analytics involves inspecting, transforming and modeling data with the objective of discovering useful information and conclusions. Techniques of data analytics can divulge trends and metrics that would otherwise be lost in the mass of information. This information can then be utilized to optimize processes to increase the overall efficacy of a business or system. Data analysis has multiple facets and approaches, encompassing varied techniques under a diverse range of names, and is used in different business, science, and social science domains. It is a process used for obtaining raw data, and converting it into information. This information is then employed in decision-making processes by the users. Data is collected for the purpose of analysis, hypotheses testing, or to disapprove theories. Data analysis plays a pivotal role in making decisions more scientific and helping businesses operate in a more effective manner. This book elucidates the concepts and innovative models around prospective developments with respect to data analytics. Most of the topics introduced herein cover new techniques and the applications of this field. Those with an interest in data analytics will find this book helpful.



Book Synopsis



Data analytics involves inspecting, transforming and modeling data with the objective of discovering useful information and conclusions. Techniques of data analytics can divulge trends and metrics that would otherwise be lost in the mass of information. This information can then be utilized to optimize processes to increase the overall efficacy of a business or system. Data analysis has multiple facets and approaches, encompassing varied techniques under a diverse range of names, and is used in different business, science, and social science domains. It is a process used for obtaining raw data, and converting it into information. This information is then employed in decision-making processes by the users. Data is collected for the purpose of analysis, hypotheses testing, or to disapprove theories. Data analysis plays a pivotal role in making decisions more scientific and helping businesses operate in a more effective manner. This book elucidates the concepts and innovative models around prospective developments with respect to data analytics. Most of the topics introduced herein cover new techniques and the applications of this field. Those with an interest in data analytics will find this book helpful.
Dimensions (Overall): 10.88 Inches (H) x 8.0 Inches (W) x .56 Inches (D)
Weight: 1.74 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 238
Genre: Computers + Internet
Sub-Genre: Databases
Publisher: States Academic Press
Theme: Data Mining
Format: Hardcover
Author: Julio Bolton
Language: English
Street Date: September 27, 2022
TCIN: 1004855508
UPC: 9781639891450
Item Number (DPCI): 247-02-1371
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.56 inches length x 8 inches width x 10.88 inches height
Estimated ship weight: 1.74 pounds
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Q: What genre does this book belong to?

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  • A: This book falls under the genre of Computers + Internet, specifically focusing on Databases.

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Q: What is the primary focus of data analytics?

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  • A: Data analytics focuses on inspecting, transforming, and modeling data to discover useful information.

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Q: Who is the author of this book on data analytics?

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  • A: The author of the book is Julio Bolton.

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Q: What type of format is this book available in?

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  • A: This book is available in hardcover format.

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Q: What is the suggested reading age for this book?

submitted by AI Shopping Assistant - 2 days ago
  • A: The suggested age for this book is 22 years and up.

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