Advanced Analytics Methodologies Student Workbook

Michele Chambers, Thomas W Dinsmore (Autoren)

Buch | Hardcover

240 Seiten

2025
Pearson FT Press (Verlag)
978-0-13-349859-2 (ISBN)

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With this up-to-date, hands-on study guide to accompany the innovative reference on implementing analytics methodologies, authors Chambers and Dinsmore help students and practitioners master all aspects of implementing analytics projects, and prepare them for professional certification as well as advanced degrees on the topic. Fully aligned with the Advanced Analytics Methodologies, this workbook-style book includes chapter learning objectives, chapter summaries, chapter questions, reviews of key terms and concepts, additional cases and examples, student self quizzes, and more.

MICHELE CHAMBERS (Charlotte, NC), an entrepreneurial executive with 25 years of technology experience, serves as Chief Strategy Officer at Revolution Analytics, which delivers a commercial, enterprise ready R platform for high performance analytics. There, she is responsible for corporate strategy, product management and product marketing. She was formerly General Manager & Vice President of Big Data Analytics at IBM, where she successfully launched several lines of businesses, including the Advanced Analytic Solutions at Netezza that drove $80M in revenue in just six months. The co-author of Big Data Big Analytics, she holds an MBA from Duke. THOMAS DINSMORE (Newton, MA) is Director of Product Management at Revolution Analytics. Until recently, he served as Analytics Solution Architect on the IBM Big Data Advanced Analytic Solutions team. Dinsmore has 25+ years of experience in predictive analytics, and has led or contributed to pioneering analytic solutions for organizations including AT&T, Banco Santander, Citbank, Dell, J.C.Penney, Monsanto, Morgan Stanley, Office Depot, Sony, Staples, United Health Group, UBS and Vodafone.

Erscheint lt. Verlag	28.6.2025
Verlagsort	NJ
Sprache	englisch
Maße	178 x 235 mm
Gewicht	1000 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Informatik ► Office Programme ► Outlook
	Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
	Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
	Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management
	Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie
ISBN-10	0-13-349859-X / 013349859X
ISBN-13	978-0-13-349859-2 / 9780133498592
Zustand	Neuware