Buku/Printed Material

Business analytics : data science for business problems

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This book focuses on three core knowledge requirements for effective and thorough data analysis for solving business problems. These are a foundational understanding of:

1. statistical, econometric, and machine learning techniques;

2. data handling capabilities;

3. at least one programming language.

Practical in orientation, the volume offers illustrative case studies throughout and examples using Python in the context of Jupyter notebooks. Covered topics include demand measurement and forecasting, predictive modeling, pricing analytics, customer satisfaction assessment, market and advertising research, and new product development and research. This volume will be useful to business data analysts, data scientists, and market research professionals, as well as aspiring practitioners in business data analytics. It can also be used in colleges and universities offering courses and certifications in business data analytics, data science, and market research.

(amazon.com)

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Ketersediaan

Informasi Detail

Judul Seri

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Penerbit

Switzerland : Springer., 2021

Deskripsi Fisik

xxxviii, 387 p. : figs., tabs., index. ; 23,5 cm.

Bahasa

English

ISBN/ISSN

9783030870256

Klasifikasi

NONE

Edisi

-

Subjek

Strategic Management
Corporate Strategy
Business management
Business development
Business analytics

Versi lain/terkait

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