Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach
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Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach
Understand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given task.
Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach
商品＃: 91791440

Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach

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商品＃: 91791440

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Understand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given task.
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この商品の利点

Dual Programming Focus
Combines R and Python, enabling readers to leverage both programming languages for diverse analytical needs, equipping them with a broad skill set to tackle various business challenges effectively.
Data-Driven Approach
Emphasizes practical, data-driven methodologies that address real-world business problems, providing actionable insights that enhance decision-making and foster strategic planning for organizations.
Updated Content
Second edition includes the latest trends and best practices in business analytics, ensuring readers are well-informed about current tools and techniques vital for successful analytics implementation.

製品詳細

Shop Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach online at a best price in 日本. 1484287533
  • This book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations. You’ll learn how to analyze data by applying concepts of statistics, probability theory, and linear algebra. In this new edition, both R and Python are used to demonstrate these analyses. Practical Business Analytics Using R and Python also features new chapters covering databases, SQL, Neural networks, Text Analytics, and Natural Language Processing.Part one begins with an introduction to analytics, the foundations required to perform data analytics, and explains different analytics terms and concepts such as databases and SQL, basic statistics, probability theory, and data exploration. Part two introduces predictive models using statistical machine learning and discusses concepts like regression, classification, and neural networks. Part three covers two of the most popular unsupervised learning techniques, clustering and association mining, as well as text mining and natural language processing (NLP). The book concludes with an overview of big data analytics, R and Python essentials for analytics including libraries such as pandas and NumPy.Upon completing this book, you will understand how to improve business outcomes by leveraging R and Python for data analytics.What You Will LearnMaster the mathematical foundations required for business analyticsUnderstand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given taskUse R and Python to develop descriptive models, predictive models, and optimize modelsInterpret and recommend actions based on analytical model outcomesWho This Book Is ForSoftware professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python.
Publisher Apress
Publication date April 4, 2023
Edition Second
Language English
Print length 731 pages
ISBN-10 1484287533
ISBN-13 978-1484287538
Item Weight 2.8 pounds (1.27 kg)
Dimensions 7 x 1.5 x 10 inches (17.8 x 3.8 x 25.4 cm)

どんな人にお勧めですか？

Suitable For
  • Data Analysts

    Ideal for data analysts seeking to enhance their skills in R and Python for business analytics applications.

  • Business Students

    Beneficial for business students wanting to understand practical applications of data analytics in real-world scenarios.

  • Industry Professionals

    Useful for professionals in business roles looking to leverage data analytics to inform decision-making processes.

Not Suitable For
  • Beginners

    Not suitable for complete beginners without prior knowledge of R, Python, or data analytics principles.

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お客様の質問と回答

  • 質問: Who is this book intended for?

    回答: It is designed for software professionals, managers, and executives interested in learning business analytics using R and Python.
  • 質問: What programming languages are covered in the book?

    回答: The book includes practical insights using both R and Python for data analytics.
  • 質問: What analytics concepts will I learn?

    回答: You will learn about regression models, supervised and unsupervised machine learning, clustering, and natural language processing.

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JPY 7575

今すぐ注文すると 頃に届きます 木曜日, 10月 08

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特徴と利点

  • Master business analytics foundations for impactful decision-making.
  • Learn predictive and unsupervised modeling techniques using R and Python.
  • Discover how to interpret analytical model outcomes for actionable insights.
  • Explore database management, SQL, and natural language processing in-depth.
  • Utilize statistical machine learning concepts for better business outcomes.
  • Ideal for software professionals, managers, and executives eager to grasp analytics.

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