Analytics: Data Science, Data Analysis and Predictive Analytics for Business
This book will teach you, in simple and easy-to-understand terms, how to take advantage of data from your daily operations and make such data a powerful tool that can influence how well your business does over time.
Analytics: Data Science, Data Analysis and Predictive Analytics for Business
Numéro d'article: 82309023

Analytics: Data Science, Data Analysis and Predictive Analytics for Business

Numéro d'article: 82309023

DZD 5902

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This book will teach you, in simple and easy-to-understand terms, how to take advantage of data from your daily operations and make such data a powerful tool that can influence how well your business does over time.
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Ce qui se démarque

Comprehensive Coverage
Offers an in-depth exploration of data science, analysis, and predictive analytics tailored for business applications, making it an essential resource for professionals seeking to enhance their understanding.
Practical Insights
Equips readers with actionable insights and real-world examples that bridge theory and practice, allowing for immediate application in business decision-making processes.
Accessible Format
With a Kindle edition, this book provides on-the-go access, catering to busy professionals who need to learn at their own pace without compromising convenience and portability.

Détails du produit

Shop Analytics: Data Science, Data Analysis and Predictive Analytics for Business online at a best price in Algeria. B0939V8768
Publisher Independently published
Publication date April 25, 2021
Language English
Print length 289 pages
ISBN-13 979-8744157982
Item Weight 1.11 pounds (500 grams)
Dimensions 6.24 x 0.84 x 9.24 inches (15.8 x 2.1 x 23.5 cm)

À qui est-ce destiné ?

Suitable For
  • Business Analysts

    Ideal for professionals seeking to enhance their analytical skills to make data-driven business decisions effectively.

  • Students in Data Science

    Beneficial for students wanting to understand practical applications of data analysis and predictive modeling techniques.

  • Entrepreneurs

    Helpful for entrepreneurs looking to leverage data to drive business strategies and improve operational efficiency.

Not Suitable For
  • Casual Readers

    Not suitable for those looking for light reading, as it focuses on technical analytics concepts and methodologies.

DESCRIPTION DU PRODUIT

Analytics: Data Science, Data Analysis and Predictive Analytics for Business

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Questions et réponses des clients

  • question: What specific skills will I learn from this book?

    répondre: You will learn data analysis, predictive analysis, regression techniques, machine learning strategies, and risk management tips.
  • question: Is this book suitable for beginners?

    répondre: Yes, the book is written in simple and easy-to-understand terms, making it accessible for beginners.
  • question: How can this book help me in my business?

    répondre: By leveraging data insights, you can make informed decisions, enhance business outcomes, and achieve sustainable growth.

Probability & Statistics Editorial Review

Analytics: Data Science, Data Analysis and Predictive Analytics for Business is a comprehensive guide for anyone looking to understand data analytics. The book, published by Independently, delivers insights in a user-friendly manner, making it suitable for beginners. Readers appreciate its clear exposition on the importance of data mining and analysis, which is crucial for achieving business goals. While it provides a solid foundation for new entrants in the field, some critiques mention that it might not provide in-depth analysis or advanced techniques. Nevertheless, many find it beneficial for developing a fundamental understanding of data analysis and predictive analytics in business contexts.

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Avantages

  • Comprehensive yet easy for beginners to grasp.
  • Clarifies data mining and its significance.
  • Great introductory resource for new business owners.
  • Encourages understanding of predictive analytics.
  • Reassures readers with simple terms and concepts.

Les inconvénients

  • Lacks visual aids like graphs and charts.

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