Big data analytics : applications in business and marketing / Kiran Chaudhary and Mansaf Alam.

By:

Chaudhary, Kiran

Contributor(s):

Alam, Mansaf

Material type: Text

TextPublication details: LONDON: CRC PRESS, 2022.Edition: First editionDescription: xiii, 261pISBN:

9781032007885
9781032187662

Subject(s):

DDC classification:

658.05 23/eng/20211104 CHA

Other classification:

Summary: "Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis"--

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Futures Studies General Stacks	Dept. of Futures Studies	658.05 CHA (Browse shelf(Opens below))	Available		DFS4587

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Previous	624.171 MAT Mathematical models for structural reliability analysis /	650.0212 BLA Business mathematics and statistics/	657.042 GUP.2 Advanced accountancy:	658.05 CHA Big data analytics : applications in business and marketing /	658.08 BLU Steve Jobs : the man who thought different : a biography/	658.4 KNO Knowledge and information technology management : human and social perspectives /	658.4 MUL Multiple-criteria decision making: techniques, analysis and applications/	Next

Includes bibliographical references and index.

"Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis"--

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