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Item #:
62257175
Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big
Item #:
62257175
ZAR 783
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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
| 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 Origin | This item will be imported from US |
| Date First Available | October 21, 2022 |
| What is in the box | Data Science: The Ultimate... For more details, please check description/product details |
Who Should Buy?
-
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.
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Students in Tech
Beneficial for students pursuing degrees in data-related fields, offering a comprehensive introduction to diverse topics.
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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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ZAR 783
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Features & Benefits
- 2 comprehensive manuscripts in 1 book
- Covering topics such as Data Science, Data Mining, Data Visualization, Logistic regression, Machine Learning, Big Data Analytics
- Discussing topics such as Big Data, explorative data analysis, data modeling, data visualization
- Helping your business grow using data science
- Tips to help you get started with data science
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