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Modern Business Analytics
Increasing the Value of Your Data with Python and R
Taschenbuch von Deanne Larson
Sprache: Englisch

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Beschreibung

Deriving business value from analytics is a challenging process. Turning data into information requires a business analyst who is adept at multiple technologies including databases, programming tools, and commercial analytics tools. This practical guide shows programmers who understand analysis concepts how to build the skills necessary to achieve business value.

Author Deanne Larson, data science practitioner and academic, helps you bridge the technical and business worlds to meet these requirements. You'll focus on developing these skills with R and Python using real-world examples. You'll also learn how to leverage methodologies for successful delivery. Learning methodology combined with open source tools is key to delivering successful business analytics and value.

This book shows you how to:

  • • Apply business analytics methodologies to achieve successful results • Cleanse and transform data using R and Python • Use R and Python to complete exploratory data analysis • Create predictive models to solve business problems in R and Python • Use Python, R, and business analytics tools to handle large volumes of data • Commit code to GitHub to collaborate with data engineers and data scientists • Measure success in business analytics

Deriving business value from analytics is a challenging process. Turning data into information requires a business analyst who is adept at multiple technologies including databases, programming tools, and commercial analytics tools. This practical guide shows programmers who understand analysis concepts how to build the skills necessary to achieve business value.

Author Deanne Larson, data science practitioner and academic, helps you bridge the technical and business worlds to meet these requirements. You'll focus on developing these skills with R and Python using real-world examples. You'll also learn how to leverage methodologies for successful delivery. Learning methodology combined with open source tools is key to delivering successful business analytics and value.

This book shows you how to:

  • • Apply business analytics methodologies to achieve successful results • Cleanse and transform data using R and Python • Use R and Python to complete exploratory data analysis • Create predictive models to solve business problems in R and Python • Use Python, R, and business analytics tools to handle large volumes of data • Commit code to GitHub to collaborate with data engineers and data scientists • Measure success in business analytics
Über den Autor
Deanne Larson, Ph.D., is a data science practitioner and academic whose passion is helping others be successful in applying analytics to achieve business value. Her research has focused on implementing an enterprise data strategy, applying agile analytics, and data science best practices. Dr. Larson is passionate about teaching and applying analytics. Deanne attended Executive Training at the Harvard Business School focusing on IT leadership, Stanford University focusing on data science, MIT focusing on AI, and New York University focusing on business analytics. She has presented at multiple conferences including TDWI, TDWI Europe, IRM UK, PMI, and other academic conferences. She is Principal Faculty, has consulted for several Fortune 500 companies, and has authored multiple research articles on data science methodology and best practices. She holds Project Management Professional (PMP), Project Management Agile Certified Practitioner (PMI-ACP), Certified Business Intelligence Professional (CBIP), and Six Sigma certifications.
Details
Erscheinungsjahr: 2025
Fachbereich: Allgemeines
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
ISBN-13: 9781098140717
ISBN-10: 1098140710
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Larson, Deanne
Hersteller: O'Reilly Media
Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 231 x 177 x 28 mm
Von/Mit: Deanne Larson
Erscheinungsdatum: 01.2025
Gewicht: 0,822 kg
Artikel-ID: 129092677
Über den Autor
Deanne Larson, Ph.D., is a data science practitioner and academic whose passion is helping others be successful in applying analytics to achieve business value. Her research has focused on implementing an enterprise data strategy, applying agile analytics, and data science best practices. Dr. Larson is passionate about teaching and applying analytics. Deanne attended Executive Training at the Harvard Business School focusing on IT leadership, Stanford University focusing on data science, MIT focusing on AI, and New York University focusing on business analytics. She has presented at multiple conferences including TDWI, TDWI Europe, IRM UK, PMI, and other academic conferences. She is Principal Faculty, has consulted for several Fortune 500 companies, and has authored multiple research articles on data science methodology and best practices. She holds Project Management Professional (PMP), Project Management Agile Certified Practitioner (PMI-ACP), Certified Business Intelligence Professional (CBIP), and Six Sigma certifications.
Details
Erscheinungsjahr: 2025
Fachbereich: Allgemeines
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
ISBN-13: 9781098140717
ISBN-10: 1098140710
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Larson, Deanne
Hersteller: O'Reilly Media
Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 231 x 177 x 28 mm
Von/Mit: Deanne Larson
Erscheinungsdatum: 01.2025
Gewicht: 0,822 kg
Artikel-ID: 129092677
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