Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analys, (Hardcover)
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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? Exploring this book could be a step in the right direction...
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Detalji o proizvodu
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | January, 2020 |
| Pages | 134 |
| Subgenre | Data Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | Bravex Publications |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Binding type | Case Binding |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 8.00 x 0.38 x 10.00 in (20.3 x 1 x 25.4 cm) |
| Assembled product weight | 1.14 lb (520 grams) |
| Bisac subject heading | Computers |
| Country of Origin | This item will be imported from US |
| Date First Available | May 07, 2021 |
| What is in the box | Data Science: The Ultimate... For more details, please check description/product details |
Who Should Buy?
-
Beginners in Data Science
Individuals new to data science will find comprehensive and easy-to-understand content to kickstart their learning journey.
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Business Analysts
Professionals looking to leverage data analytics for business decision-making can enhance their skills using practical insights from the guide.
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Students in Technology
College students studying technology or data science disciplines will benefit from a structured introduction to essential concepts and methods.
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Experienced Data Scientists
Advanced professionals may find the content too basic and not sufficiently challenging for their level of expertise.
OPIS PROIZVODA
Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analys, (Hardcover)
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Herbert Jones All Books Editorial Review
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Značajke i prednosti
- Comprehensive guide covering various aspects of data science
- Topics include data analytics, data mining, machine learning, big data, and more
- Provides insights on becoming an expert in data science
- Includes practical tips and techniques for business applications
- Suitable for beginners looking to enhance their data science skills
- Valuable resource for those interested in real-world data-centric problem-solving
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