Sinossi
This book has been developed strictly in accordance with the CST 322 – Data Analytics syllabus for the sixth semester B.Tech programme in Computer Science and Engineering. The primary objective of this text is to bridge the gap between theoretical foundations and practical implementation, enabling students to analyze data systematically and derive meaningful insights using appropriate analytical techniques and tools.
The content is organized into five well-defined modules. The book begins with Mathematics for Data Analytics, introducing descriptive statistics, probability distributions, and hypothesis testing, which form the analytical backbone for data-driven reasoning. It then progresses to the fundamentals of data analytics, covering the analytics process model, data life cycle, sampling, preprocessing, and dimensionality reduction techniques. The core analytical methods, including predictive and descriptive analytics, supervised and unsupervised learning algorithms, and association rule mining, are explained with clarity and relevance to real-world scenarios
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per DATA ANALYTICS: A Comprehensive Guide Aligned with...
Foto dell'editore
DATA ANALYTICS: A Comprehensive Guide Aligned with the KTU Syllabus
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. Codice articolo I-9798902314592
Compra nuovo
EUR 19,50
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Data Analytics
Print on DemandDa: PBShop.store US, Wood Dale, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9798902314592
Compra nuovo
EUR 22,00
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Data Analytics (Paperback)
Print on DemandDa: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. This book has been developed strictly in accordance with the CST 322 - Data Analytics syllabus for the sixth semester B.Tech programme in Computer Science and Engineering. The primary objective of this text is to bridge the gap between theoretical foundations and practical implementation, enabling students to analyze data systematically and derive meaningful insights using appropriate analytical techniques and tools.The content is organized into five well-defined modules. The book begins with Mathematics for Data Analytics, introducing descriptive statistics, probability distributions, and hypothesis testing, which form the analytical backbone for data-driven reasoning. It then progresses to the fundamentals of data analytics, covering the analytics process model, data life cycle, sampling, preprocessing, and dimensionality reduction techniques. The core analytical methods, including predictive and descriptive analytics, supervised and unsupervised learning algorithms, and association rule mining, are explained with clarity and relevance to real-world scenarios This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798902314592
Compra nuovo
EUR 22,39
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Data Analytics
Print on DemandDa: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 4 su 5 stelle
PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9798902314592
Compra nuovo
EUR 18,95
Spedizione EUR 5,80
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Data Analytics (Paperback)
Print on DemandDa: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. This book has been developed strictly in accordance with the CST 322 - Data Analytics syllabus for the sixth semester B.Tech programme in Computer Science and Engineering. The primary objective of this text is to bridge the gap between theoretical foundations and practical implementation, enabling students to analyze data systematically and derive meaningful insights using appropriate analytical techniques and tools.The content is organized into five well-defined modules. The book begins with Mathematics for Data Analytics, introducing descriptive statistics, probability distributions, and hypothesis testing, which form the analytical backbone for data-driven reasoning. It then progresses to the fundamentals of data analytics, covering the analytics process model, data life cycle, sampling, preprocessing, and dimensionality reduction techniques. The core analytical methods, including predictive and descriptive analytics, supervised and unsupervised learning algorithms, and association rule mining, are explained with clarity and relevance to real-world scenarios This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798902314592
Compra nuovo
EUR 23,18
Spedizione EUR 42,73
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Data Analytics (Paperback)
Print on DemandDa: AussieBookSeller, Truganina, VIC, Australia
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. This book has been developed strictly in accordance with the CST 322 - Data Analytics syllabus for the sixth semester B.Tech programme in Computer Science and Engineering. The primary objective of this text is to bridge the gap between theoretical foundations and practical implementation, enabling students to analyze data systematically and derive meaningful insights using appropriate analytical techniques and tools.The content is organized into five well-defined modules. The book begins with Mathematics for Data Analytics, introducing descriptive statistics, probability distributions, and hypothesis testing, which form the analytical backbone for data-driven reasoning. It then progresses to the fundamentals of data analytics, covering the analytics process model, data life cycle, sampling, preprocessing, and dimensionality reduction techniques. The core analytical methods, including predictive and descriptive analytics, supervised and unsupervised learning algorithms, and association rule mining, are explained with clarity and relevance to real-world scenarios This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9798902314592
Compra nuovo
EUR 34,52
Spedizione EUR 31,85
Spedito da Australia a U.S.A.
Spedito da Australia a U.S.A.
Quantità: 1 disponibili