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Data: Principles To Practice - Volume 2 'Analysis, Insight & Ethics': Exploring Big Data, Data Science, Machine Learning, Data Analysis, ... Ethical
87% of respondents would recommend this to a friend
NIO 1179
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Detalles de producto
| Publisher | Insight Edge Publishing |
| Publication date | 16 Dec. 2024 |
| Language | English |
| Print length | 332 pages |
| ISBN-10 | 1917277040 |
| ISBN-13 | 978-1917277044 |
| Item weight | 572 g |
| Dimensions | 15.24 x 1.91 x 22.86 cm |
| Book 2 of 2 | Data: Principles To Practice |
Who Should Buy?
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Data Professionals
Individuals working in data science or analysis will gain valuable insights and practical knowledge for their careers.
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Organizational Leaders
Leaders seeking to implement data-driven strategies will find ethical insights essential for responsible decision-making.
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Students of Data
Students studying data analytics will benefit from comprehensive knowledge about big data and machine learning applications.
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Casual Readers
Those looking for light reading may find the content too technical and in-depth for their interests.
DESCRIPCIÓN DEL PRODUCTO
Data: Principles To Practice - Volume 2 'Analysis, Insight & Ethics': Exploring Big Data, Data Science, Machine Learning, Data Analysis, ... Ethical Insights for Organizational Success Paperback – 16 Dec. 2024
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Database Management Systems Editorial Review
**Editorial Review of "Data: Principles To Practice - Volume 2 'Analysis, Insight & Ethics'":** "Data: Principles To Practice - Volume 2" serves as a comprehensive guide for those interested in navigating the complexities of big data, data science, and machine learning. Readers have lauded this volume for its thorough exploration of analytical methods and ethical Considerations in data usage. The book balances theoretical principles with practical applications, making it a valuable resource for both students and professionals in the data field. It delves into essential topics such as data visualization techniques and the ethical implications of data-driven decisions, which have resonated well with readers concerned about the moral responsibilities that accompany data science practices. Furthermore, the clarity and accessibility of the writing style have been highlighted, allowing readers with varying levels of expertise to comprehend advanced concepts without feeling overwhelmed. The structured layout, along with real-world examples and case studies, promotes an engaging learning experience. However, some readers suggest that certain sections could benefit from more depth, particularly regarding emerging technologies and their applications. This feedback indicates a desire for an even more robust examination of contemporary trends in data practices. Overall, this volume is celebrated for its insightful content that not only equips readers with essential knowledge but also encourages critical thinking about the ethical dimensions of data science. **
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ventajas
- Comprehensive and thorough exploration of big data, data science, and ethical Considerations.
- Accessible writing style suitable for various levels of expertise.
- Practical applications and real-world examples enhance learning.
- Encourages critical thinking about ethical implications in data practices.
Contras
- Some sections could benefit from more depth on emerging technologies.
Product Price History
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NIO 1179
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características y beneficios
- Unlock the competitive edge by mastering data-driven strategies.
- Gain practical insights from real-world case studies and actionable techniques.
- Transform complex data into visual narratives for informed decision-making.
- Navigate the complexities of data security and ethical considerations.
- Enhance performance management and align KPIs with business goals.
- Designed for professionals seeking to leverage data effectively without technical jargon.
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