Data Analytics: The Ultimate Beginner's Guide
AMD 9106
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What Stands Out
Product Details
| Book Title | Data Analytics: The Ultimate Beginner's Guide |
| ISBN | 9781542315296 |
| Subject Area | Computers |
| Publication Name | Data Analytics: the Ultimate Beginner's Guide |
| Publisher | CreateSpace |
| Item Length | 9 in (22.86 cm) |
| Subject | Databases / Data Mining |
| Publication Year | 2017 |
| Type | Textbook |
| Format | Trade Paperback |
| Language | English |
| Item Height | 0.2 in (0.51 cm) |
| Author | Lee Maxwell |
| Item Weight | 6.1 Oz (172.94 grams) |
| Item Width | 6 in (15.24 cm) |
| Number of Pages | 80 Pages |
Who Should Buy?
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Newcomers to Data
Ideal for individuals starting their journey in data analytics and seeking foundational knowledge and skills.
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Professionals Switching Fields
Useful for professionals transitioning to data analytics from other domains, providing essential concepts and tools.
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Students in Tech
Beneficial to students pursuing degrees in technology or business that require understanding of data analytics principles.
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Experienced Analysts
Not suitable for seasoned data analysts who require advanced techniques and deeper insights beyond beginner levels.
Product Description
Customer Questions & Answers
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Question:
What level of expertise is this book suitable for?
Answer: This book is designed for senior-level undergraduates and postgraduate students. -
Question:
What topics does the book cover?
Answer: It covers unstructured data mining, machine learning, big data analytics, and business analytics. -
Question:
Can I start learning data analytics with this book right away?
Answer: Yes, the book is designed for beginners, allowing you to learn data analytics quickly.
Editorial Review
Data Analytics The Ultimate Beginner's Guide is a comprehensive resource for anyone looking to dive into the world of data analytics. Written by Lee Maxwell and published in 2017, this trade paperback book spans 80 pages, making it an accessible introduction to databases and data mining. With a clear focus on practical applications, readers can expect to build foundational skills in data analysis. The book's compact size makes it easy to handle, allowing for on-the-go learning. Whether you're a complete novice or looking to refresh your knowledge, this guide serves as an ideal starting point in the field of data analytics.
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Pros
- Clear and concise for beginners
- Compact size for easy handling
- Covers databases and data mining basics
- Written by an expert in the field
- Practical applications for real-world use
Cons
- Limited depth for advanced readers
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Features & Benefits
- Ideal for beginners looking to enter the field of Data Analytics.
- Comprehensive coverage of unstructured data mining and big data concepts.
- Focus on practical applications of machine learning and data mining methods.
- Includes discussions on clustering, incremental learning, and business analytics.
- Perfect for senior undergraduates and postgraduate students in computer science.
- Available now with quick delivery for immediate learning.
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