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Business Analytics
Data Science for Business Problems
Buch von Walter R. Paczkowski
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.
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: 2022
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xxxviii
387 S.
23 s/w Illustr.
215 farbige Illustr.
387 p. 238 illus.
215 illus. in color.
ISBN-13: 9783030870225
ISBN-10: 3030870227
Sprache: Englisch
Einband: Gebunden
Autor: Paczkowski, Walter R.
Auflage: 1st edition 2021
Hersteller: Springer Nature Switzerland
Springer International Publishing
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 29 mm
Von/Mit: Walter R. Paczkowski
Erscheinungsdatum: 04.01.2022
Gewicht: 0,805 kg
Artikel-ID: 120445380
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: 2022
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xxxviii
387 S.
23 s/w Illustr.
215 farbige Illustr.
387 p. 238 illus.
215 illus. in color.
ISBN-13: 9783030870225
ISBN-10: 3030870227
Sprache: Englisch
Einband: Gebunden
Autor: Paczkowski, Walter R.
Auflage: 1st edition 2021
Hersteller: Springer Nature Switzerland
Springer International Publishing
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 29 mm
Von/Mit: Walter R. Paczkowski
Erscheinungsdatum: 04.01.2022
Gewicht: 0,805 kg
Artikel-ID: 120445380
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