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Item #:
230901515
Probability and Statistics for Data Science: Math + R + Data (Chapman & Hall/CRC Data Science Series)
86% of respondents would recommend this to a friend
Item #:
230901515
USD 186
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What Stands Out
Comprehensive Approach
This book combines essential math concepts with R programming, providing a thorough foundation in probability and statistics tailored for data science practitioners and students.
Hands-On Learning
Features practical examples and exercises, enabling readers to apply theoretical knowledge directly to real-world data science challenges, enhancing understanding and retention.
Expert Insights
Authored by seasoned professionals, it offers unique perspectives and best practices in data analysis, ensuring readers gain relevant skills and insights sought by employers in the field.
Product Details
| Publisher | Chapman and Hall/CRC |
| Publication date | June 25, 2019 |
| Edition | 1st |
| Language | English |
| Print length | 412 pages |
| ISBN-10 | 036726093X |
| ISBN-13 | 978-0367260934 |
| Item Weight | 1.7 pounds (770 grams) |
| Dimensions | 6.25 x 1 x 9.25 inches (15.9 x 2.5 x 23.5 cm) |
| Part of series | Chapman & Hall/CRC Data Science |
Who Should Buy?
-
Data Science Students
Ideal for students seeking a solid foundation in probability and statistics applied in data science using R.
-
Data Analysts
Perfect for analysts needing to enhance their statistical skills and apply R for data interpretation and insights.
-
Professionals Transitioning
Great for professionals moving into data science, seeking practical knowledge in statistics using real datasets and R.
-
Complete Beginners
Not suitable for complete beginners without basic knowledge in statistics or programming, as it requires prior understanding.
Product Description
Probability and Statistics for Data Science: Math + R + Data (Chapman & Hall/CRC Data Science Series)
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Probability & Statistics Editorial Review
Probability and Statistics for Data Science: Math + R + Data (Chapman & Hall/CRC Data Science Series) is an insightful resource published by Chapman and Hall/CRC on June 25, 2019. This 412-page book is designed for individuals looking to deepen their understanding of statistics and probability in the context of data science, offering a unique blend of mathematical concepts and practical R programming applications. The well-structured content guides readers through essential theories and techniques, making it suitable for both beginners and advanced learners. Whether you're tackling complex data problems or seeking to enhance your analytical skills, this book serves as a comprehensive guide in the ever-evolving field of data science.
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Pros
- Comprehensive coverage of probability and statistics
- Practical application of R programming
- Suitable for beginners and advanced learners
- Well-structured and easy to follow
- Insightful examples and exercises
Cons
- Some concepts may require prior mathematical knowledge
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