"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.
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. "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 printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798313882215
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Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. "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 printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798313882215
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