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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.
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.
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).
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
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 |
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).
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
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 |