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Business Analytics - Data Science for Business Problems (Hardcover, 1st ed. 2021) Loot Price: R3,644
Discovery Miles 36 440
Business Analytics - Data Science for Business Problems (Hardcover, 1st ed. 2021): Walter R Paczkowski

Business Analytics - Data Science for Business Problems (Hardcover, 1st ed. 2021)

Walter R Paczkowski

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Loot Price R3,644 Discovery Miles 36 440 | Repayment Terms: R341 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: 2022
First published: 2021
Authors: Walter R Paczkowski
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 387
Edition: 1st ed. 2021
ISBN-13: 978-3-03-087022-5
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Business & Economics > Business & management > Sales & marketing > Market research
Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
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LSN: 3-03-087022-7
Barcode: 9783030870225

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