menu
{ "item_title" : "Data Science & Big Data Analytics", "item_author" : [" Farhana Sethi "], "item_description" : "Data Science & Big Data Analytics: A Comprehensive Guide is a book that delves into the principles and practices of data science and big data analytics. It covers the evolution of data collection and analysis, from ancient methods to modern digital infrastructures. The book explores various data analysis methodologies, including descriptive, predictive, prescriptive, and automated analytics, highlighting their applications and differences. It also addresses the challenges posed by big data, such as the need for advanced processing tools and techniques, and discusses the distinctions between traditional business intelligence and big data analytics. Additionally, the book emphasizes the importance of data privacy and security in the context of big data analytics.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/831/388/9798313882215_b.jpg", "price_data" : { "retail_price" : "39.99", "online_price" : "39.99", "our_price" : "39.99", "club_price" : "39.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Science & Big Data Analytics|Farhana Sethi

Data Science & Big Data Analytics : A Comprehensive Guide

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

"Data Science & Big Data Analytics: A Comprehensive Guide" is a book that delves into the principles and practices of data science and big data analytics. It covers the evolution of data collection and analysis, from ancient methods to modern digital infrastructures. The book explores various data analysis methodologies, including descriptive, predictive, prescriptive, and automated analytics, highlighting their applications and differences. It also addresses the challenges posed by big data, such as the need for advanced processing tools and techniques, and discusses the distinctions between traditional business intelligence and big data analytics. Additionally, the book emphasizes the importance of data privacy and security in the context of big data analytics.

This item is Non-Returnable

Details

  • ISBN-13: 9798313882215
  • ISBN-10: 9798313882215
  • Publisher: Independently Published
  • Publish Date: March 2025
  • Dimensions: 11 x 8.5 x 0.49 inches
  • Shipping Weight: 1.21 pounds
  • Page Count: 232

Related Categories

You May Also Like...

    1

BAM Customer Reviews