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Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners
Do you want to expand your skills from being a basic Data Scientist to becoming an expert Data Scientist ready to solve real-world data centric issues?
Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners
Item #: 62257175

Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big

Item #: 62257175

CZK 954

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Do you want to expand your skills from being a basic Data Scientist to becoming an expert Data Scientist ready to solve real-world data centric issues?
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What Stands Out

Comprehensive Coverage
This guide addresses various aspects of data science, ensuring beginners gain a holistic understanding of data analytics, mining, warehousing, visualization, and machine learning.
Beginner-Friendly
Written specifically for newcomers, the guide simplifies complex concepts, making data science approachable and easy to understand, helping readers build essential skills effectively.
Real-World Applications
The focus on practical applications and business use cases makes this guide invaluable for those looking to apply data science skills in professional settings.

Product Details

Explore the Ultimate Guide to Data Science with topics like Analytics, Mining, Warehousing & Visualization on Ubuy Czech Republic. Perfect for Beginners!
Publisher Bravex Publications
Publication date January 10, 2020
Language English
Print length 134 pages
ISBN-10 1647483042
ISBN-13 978-1647483043
Item Weight 1.14 pounds (520 grams)
Dimensions 8 x 0.38 x 10 inches (20.3 x 1 x 25.4 cm)
Country of OriginThis item will be imported from US
Date First AvailableOctober 21, 2022
What is in the boxData Science: The Ultimate... For more details, please check description/product details

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for beginners wanting to understand foundational data science concepts and practical applications in business.

  • Business Analysts

    Helps analysts leverage data analytics techniques to better interpret data for strategic business decision-making.

  • Students in Tech

    Beneficial for students pursuing degrees in data-related fields, offering a comprehensive introduction to diverse topics.

Not Suitable For
  • Experienced Data Experts

    Advanced data practitioners may find the content too basic and not in-depth for their expertise.

Product Description

Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners

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Data Warehousing Editorial Review

In the realm of data science literature, the book "Data Science" by Herbert Jones stands out for its engaging narrative and thorough exploration of key concepts. Readers have expressed an overall positive experience, appreciating the organic flow of description and the relevant examples presented throughout the text. The book appears to successfully bridge theoretical knowledge with practical scenarios, which resonates well with those looking to deepen their understanding of data analytics. Despite the lack of a direct line of communication with the author, which some readers find frustrating, the quality of the content seems to outweigh these concerns. The author's ability to convey complex topics in an accessible manner has been highlighted, making it a suitable choice for both newcomers and those with prior knowledge of the field. Overall, this book is well-received as a valuable resource for anyone interested in the current landscape of data science, its applications, and its theoretical underpinnings. **

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Pros

  • Engaging narrative style
  • Thorough exploration of data science concepts
  • Good balance between theory and practical scenarios

Cons

  • Lack of author's contact information for reader communication

Product Price History

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