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Item #:
158216718
Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World, (Paperback)
86% of respondents would recommend this to a friend
Item #:
158216718
XAF 35278
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What Stands Out
Comprehensive Coverage
This guide encompasses essential data analytics, data science, and AI principles, empowering readers with practical knowledge applicable to various real-world scenarios, enhancing their data-driven decision-making skills.
User-Friendly Approach
Written in an accessible manner, the book breaks down complex concepts into digestible parts, making it ideal for beginners and professionals looking to strengthen their understanding of data-driven technologies.
Practical Applications
Real-world examples and case studies illustrate how to implement data analytics and AI in everyday business practices, equipping readers with actionable insights to harness data effectively.
Product Details
- In today's world, understanding data analytics, data science, and artificial intelligence is not just an advantage but a necessity. This book is your thorough guide to learning these innovative fields, designed to make the learning practical and engaging.The book starts by introducing data analytics, data science, and artificial intelligence. It illustrates real-world applications, and, it addresses the ethical considerations tied to AI. It also explores ways to gain data for practice and real-world scenarios, including the concept of synthetic data. Next, it uncovers Extract, Transform, Load (ETL) processes and explains how to implement them using Python. Further, it covers artificial intelligence and the pivotal role played by machine learning models. It explains feature engineering, the distinction between algorithms and models, and how to harness their power to make predictions. Moving forward, it discusses how to assess machine learning models after their creation, with insights into various evaluation techniques. It emphasizes the crucial aspects of model deployment, including the pros and cons of on-device versus cloud-based solutions. It concludes with real-world examples and encourages embracing AI while dispelling fears, and fostering an appreciation for the transformative potential of these technologies.Whether you're a beginner or an experienced professional, this book offers valuable insights that will expand your horizons in the world of data and AI.What you will learn: What are Synthetic data and Telemetry dataHow to analyze data using programming languages like Python and Tableau.What is feature engineeringWhat are the practical Implications of Artificial IntelligenceWho this book is for: Data analysts, scientists, and engineers seeking to enhance their skills, explore advanced concepts, and stay up-to-date with ethics. Business leaders and decision-makers across industries are interested in understanding the transformative potential and ethical implications of data analytics and AI in their organizations.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | December, 2024 |
| Pages | 211 |
| Subgenre | Artificial Intelligence |
| Series title | No Series |
| Edition | 1 |
| Publisher | Apress |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 0.49 x 9.21 in (15.6 x 1.2 x 23.4 cm) |
| Assembled product weight | 0.73 lb (330 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for newcomers seeking foundational knowledge in data analytics and AI to enhance their career prospects.
-
Business Professionals
Perfect for executives and managers wanting to leverage data-driven insights to improve decision-making within their organizations.
-
Students in IT
Great for university students studying information technology or related fields, providing practical skills in data science.
-
Advanced Data Scientists
Not suitable for experienced professionals already proficient in data analytics and AI techniques and concepts.
Product Description
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Maxine Attobrah All Books Editorial Review
Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World is an insightful non-fiction book focusing on the realms of computing and internet technologies. Spanning 211 pages, this paperback edition provides a thorough introduction to data analytics, data science, and artificial intelligence tailored for readers eager to understand the impact of these technologies on a data-driven world. The book, published by Apress in January 2025, emphasizes practical applications and is written in English, making it accessible to a wide audience. With its focus on technology education, it serves as a beneficial resource for both beginners and professionals looking to expand their knowledge in artificial intelligence and data science.
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Pros
- Engaging and informative content for data enthusiasts
- Practical insights into data analytics
- Comprehensive overview of AI applications
- Ideal for both beginners and professionals
- Clear language and structured approach
Cons
- Limited availability of additional resources
Product Price History
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XAF 35278
Order now and get it around Monday, October 26
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Features & Benefits
- Comprehensive guide for mastering data analytics, data science, and AI.
- Provides practical, engaging learning experiences with real-world applications.
- Includes essential topics like ETL processes, machine learning, and model deployment.
- Designed for both beginners and experienced professionals in the field.
- Focuses on ethical considerations and the transformative potential of AI.
- Equips business leaders with insights to harness data analytics and AI effectively.
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