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Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data
89% of respondents would recommend this to a friend
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What Stands Out
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- Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you:Become a contributor on a data science teamDeploy a structured lifecycle approach to data analytics problemsApply appropriate analytic techniques and tools to analyzing big dataLearn how to tell a compelling story with data to drive business actionPrepare for EMC Proven Professional Data Science CertificationGet started discovering, analyzing, visualizing, and presenting data in a meaningful way today!
| Publisher | Wiley |
| Publication date | January 27, 2015 |
| Edition | 1st |
| Language | English |
| Print length | 432 pages |
| ISBN-10 | 111887613X |
| ISBN-13 | 978-1118876138 |
| Item Weight | 2 pounds (910 grams) |
| Dimensions | 7.6 x 1.1 x 9.3 inches (19.3 x 2.8 x 23.6 cm) |
Who Should Buy?
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Aspiring Data Scientists
This book provides foundational knowledge essential for those entering the data science field, covering crucial analytics techniques.
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Business Analysts
Helpful for business analysts to enhance their skills in data-driven decision-making and strategic presentation of findings.
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Students in Analytics
Ideal for students pursuing data science or analytics degrees, offering academic insights into current big data methodologies.
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Beginners in Tech
Complete novices in technology might find the content too advanced without prior knowledge of data science principles.
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EMC Education Services (Editor) Format: Hardcover Operations Research Editorial Review
The book "Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data" has received mixed reviews from customers. While some customers appreciate its content and find it easy to read, others have raised concerns about the print quality and the lack of Python examples. One customer mentioned that the print quality of the book is not satisfactory, particularly for pages that contain code. They found it hard to read the codes due to unclear print and shadows. However, the same customer acknowledged that the content of the book is good, giving it a rating of 3.5/5. Another customer pointed out that the book is a great entry-level resource for big data analytics. They appreciated the mostly R code examples provided in the book, although it required them to learn some R to fully comprehend it. However, this customer mentioned their preference for more Python examples, as there are very few in the book. Some customers expressed concerns about the book becoming outdated quickly, as the field of data science and big data analytics evolves rapidly. They suggested that online courses and material might be a better option for staying up-to-date, although they acknowledged that the basic concepts in the book still hold. Overall, "Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data" is Considered a good book with valuable content, especially for beginners. However, readers should be aware of potential issues with print quality and the limited number of Python examples.
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Pros
- Good content for beginners in data science and big data analytics
- Mostly R code examples provided
- Easy to read
Cons
- Limited number of Python examples
Product Price History
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QAR 221
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Features & Benefits
- Discover, analyze, visualize, and present data
- Learn how to tell a compelling story with data to drive business action
- Deploy a structured lifecycle approach to data analytics problems
- Apply appropriate analytic techniques and tools to analyzing big data
- Prepare for EMC Proven Professional Data Science Certification
- Get started today
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