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Item #:
19139137
Practical Data Science with R, Second Edition
90% of respondents would recommend this to a friend
Item #:
19139137
PKR 21117
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What Stands Out
Comprehensive Coverage
Covers essential data science concepts using R, suitable for both beginners and experienced professionals, ensuring a thorough understanding of practical applications in real-world scenarios.
Hands-On Approach
Includes practical examples and exercises that facilitate hands-on learning, allowing readers to apply theoretical knowledge directly to data analysis projects and enhance practical skills.
Updated Techniques
Offers updated methodologies and tools in data science, reflecting current trends and technologies, making it a valuable resource for staying relevant in the fast-evolving field of data analytics.
Product Details
| Publisher | Manning Publications |
| Publication date | December 7, 2019 |
| Edition | 2nd |
| Language | English |
| Print length | 568 pages |
| ISBN-10 | 1617295876 |
| ISBN-13 | 978-1617295874 |
| Item Weight | 2.05 pounds (930 grams) |
| Dimensions | 7.38 x 1.42 x 9.25 inches (18.7 x 3.6 x 23.5 cm) |
| Country of Origin | This item will be imported from US |
| Date First Available | April 05, 2021 |
| What is in the box | Practical Data Science with... For more details, please check description/product details |
Who Should Buy?
-
Aspiring Data Scientists
Perfect for beginners looking to understand the fundamentals of data science using the R programming language.
-
R Programming Users
Ideal for learners familiar with R who want to delve deeper into practical applications in data science.
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Professionals Seeking Skills
Great for professionals aiming to enhance their data analysis and visualization skills using real-world examples in R.
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Complete Beginners
Not suitable for individuals with no prior programming or statistical knowledge seeking to start data science.
Product Description
Practical Data Science with R, Second Edition
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Intelligence & Semantics Editorial Review
Practical Data Science with R, Second Edition offers a comprehensive guide for intermediate users by presenting practical examples that demystify common tasks in data science. Readers appreciate the careful explanation of R syntax, making it easier for newcomers to grasp the functionality behind the code. Published by Manning Publications, this 568-page book has become a staple for internal ML training in tech companies, showcasing its relevance and quality in the industry. While the content receives high praise, some readers have noted issues with the Kindle edition's formatting and presentation, suggesting that quality checks could further enhance the reading experience.
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Pros
- Ideal for intermediate R and data science professionals
- Clear explanations of R syntax for beginners
- Real-world applications and practical examples
- Trusted by tech companies for internal training
- Concise and easy to read with strong insights
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