Walter R. Paczkowski: Business Analytics

Cover: 9783030870256 | Business Analytics | Data Science for Business Problems | Paczkowski

Rückseite: 9783030870256 | Business Analytics | Data Science for Business Problems | Paczkowski

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Sprache: Englisch

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Beschreibung

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.

Über den Autor

Walter R. Paczkowski, PhD, has worked at AT&T, AT&T Bell Labs, and AT&T Labs. He founded Data Analytics Corp., a statistical consulting company, in 2001. Dr. Paczkowski is also a part-time lecturer of economics at Rutgers University. He is the author of Deep Data Analytics for New Product Development (2020), Pricing Analytics: Models and Advanced Quantitative Techniques for Product Pricing (2018), and Market Data Analysis Using JMP (2016).

Zusammenfassung

Uses case studies to illustrate concepts

Presents examples using Python in the context of Jupyter notebooks with Programming Literacy examples

Features appendices with technical details

Inhaltsverzeichnis

1. Types of Business Problems.- 2. Data for Business Problems.- 3. Beginning Data Handling.- 4. ¿Data Preprocessing.- 5. Data Visualization: The Basics.- 6. OLS Regression Basics.- 7. Time Series Basics.- 8. Statistical Tables.- 9. Advanced Data Handling.- 10. Advanced OLS.- 11. Logistic Regression.- 12. Classification.

Details

Erscheinungsjahr:	2023
Fachbereich:	Wahrscheinlichkeitstheorie
Genre:	Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xxxviii 387 S. 23 s/w Illustr. 215 farbige Illustr. 387 p. 238 illus. 215 illus. in color.
ISBN-13:	9783030870256
ISBN-10:	3030870251
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Paczkowski, Walter R.
Hersteller:	Springer Palgrave Macmillan Springer International Publishing AG
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	235 x 155 x 24 mm
Von/Mit:	Walter R. Paczkowski
Erscheinungsdatum:	05.01.2023
Gewicht:	0,645 kg