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Business Analytics Data Science for Business Problems 1st editon by Walter Paczkowski 3030870227 ISBN 13: 978-3030870225

Name: Business Analytics Data Science for Business Problems 1st editon by Walter Paczkowski 3030870227 ISBN 13: 978-3030870225
SKU: EB-37250278
Availability: InStock

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Business Analytics: Data Science for Business Problems Walter R. Paczkowski Digital Instant Download

Author(s): Walter R. Paczkowski

ISBN(s): 9783030870225, 3030870227

Edition: 1st ed. 2021

File Details: PDF, 14.03 MB

Year: 2022

Language: English

SKU: EB-37250278 Category: Computers - Artificial Intelligence (AI) Tag: Walter R. Paczkowski

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Business Analytics Data Science for Business Problems 1st editon by Walter Paczkowski – Ebook PDF Instant Download/Delivery: 3030870227, 978-3030870225
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ISBN 10: 3030870227
ISBN 13: 978-3030870225
Author: Walter R. Paczkowski

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.

Business Analytics Data Science for Business Problems 1st Table of contents:

Introduction to Business Data Analytics: Setting the Stage
Data Sources, Organization, and Structures
Basic Data Handling
Data Visualization: The Basics
Advanced Data Handling: Preprocessing Methods
Intermediate Analytics
Download chapter PDF
OLS Regression: The Basics
Time Series Analysis
Statistical Tables
Advanced AnalyticsAdvanced Data Handling for Business Data Analytics
Advanced OLS for Business Data Analytics
Classification with Supervised Learning Methods
Grouping with Unsupervised Learning Methods

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