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Data: Principles To Practice - Volume 2 'Analysis, Insight & Ethics': Exploring Big Data, Data Science, Machine Learning, Data Analysis, ... Ethical Insights for Organizational Success
Master Data-Driven Strategies for Business Success
Data: Principles To Practice - Volume 2 'Analysis, Insight & Ethics': Exploring Big Data, Data Science, Machine Learning, Data Analysis, ... Ethical Insights for Organizational Success
Item #: 141966994

Data: Principles To Practice - Volume 2 'Analysis, Insight & Ethics': Exploring Big Data, Data Science, Machine Learning, Data Analysis, ... Ethical

Item #: 141966994

AUD 49

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What Stands Out

Comprehensive Overview
Covers a broad range of topics from Big Data to Machine Learning, ensuring readers gain a deep and versatile understanding necessary for current data-driven environments.
Ethical Focus
Incorporates essential ethical insights, guiding organizations on responsible data use, thereby fostering trust and promoting integrity within data practices.
Practical Applications
Provides actionable insights and real-world examples, allowing readers to easily implement learned concepts into organizational strategies and boost overall success.

Product Details

Shop Data: Principles To Practice - Volume 2 'Analysis, Insight & Ethics': Exploring Big Data, Data Science, Machine Learning, Data Analysis, ... Ethical Insights for Organizational Success online at a best price in Australia. 1917277040
Publisher Insight Edge Publishing
Publication date December 16, 2024
Language English
Print length 332 pages
ISBN-10 1917277040
ISBN-13 978-1917277044
Item Weight 1.26 pounds (570 grams)
Dimensions 6 x 0.75 x 9 inches (15.2 x 1.9 x 22.9 cm)
Book 2 of 2 Data: Principles To Practice

Who Should Buy?

Suitable For
  • Data Professionals

    Ideal for data analysts and scientists seeking to deepen their understanding of ethical insights in data practices.

  • Organizational Leaders

    A valuable resource for executives aiming to implement data-driven strategies while ensuring ethical considerations are prioritized.

  • Students & Academia

    Useful for students studying data science or ethics, enhancing knowledge of practical applications in real-world scenarios.

Not Suitable For
  • Beginners in Data

    Not suitable for absolute beginners as the material may be too advanced without prior foundational knowledge.

Product Description

Data: Principles To Practice - Volume 2 'Analysis, Insight & Ethics': Exploring Big Data, Data Science, Machine Learning, Data Analysis, ... Ethical Insights for Organizational Success

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AI & Machine Learning Editorial Review

**** "Data: Principles to Practice - Volume 2: Analysis, Insight & Ethics" emerges as a pivotal resource for those wishing to bridge the gap between theoretical data concepts and their practical implications. This volume delves deep into crucial areas such as big data analytics, machine learning, data visualization, and ethical Considerations in data use, effectively catering to a diverse audience ranging from data professionals and business leaders to students and curious newcomers. Readers praise the book for its rigorous exploration of technical topics paired with real-world case studies, making even the most complex subjects feel accessible. The emphasis on transforming data insights into compelling visual narratives stands out, as it equips professionals with the ability to communicate intricate ideas clearly and effectively. Additionally, the structured approach to performance management, with a focus on aligning key performance indicators (KPIs) to business objectives, enhances its value for those in managerial roles. While many find the book practical and informative, a small segment of readers has noted that certain sections may be challenging for those entirely new to the field. However, for seasoned professionals, the detailed examination of emerging trends and ethical challenges presented in the text enriches their understanding and application of data-driven decision-making. Overall, this volume is celebrated for its comprehensive insights into the strategic utilization of data, making it a well-rounded and indispensable guide for navigating today’s data-driven landscape. **

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Pros

  • Bridges the gap between technical knowledge and real-world application.
  • Covers essential topics including big data, machine learning, data visualization, and data ethics.
  • Uses real-world case studies to illustrate complex concepts.
  • Provides actionable insights and best practices.
  • Balances technical depth with practical usability.

Cons

  • Some sections may be dense for readers completely new to data science.

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