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Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big
€ 36
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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
Toote üksikasjad
| 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) |
Who Should Buy?
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Aspiring Data Scientists
Ideal for beginners wanting to understand foundational data science concepts and practical applications in business.
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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.
TOOTE KIRJELDUS
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 Mining 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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Plussid
- Engaging narrative style
- Thorough exploration of data science concepts
- Good balance between theory and practical scenarios
Miinused
- Lack of author's contact information for reader communication
Product Price History
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€ 36
Kui tellid kohe, saad toote kätte Kolmapäev, September 02
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Omadused ja eelised
- 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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