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4932400
Statistical Analysis with R For Dummies For Dummies ComputerTech 1st Edition
88% of respondents would recommend this to a friend
Item #:
4932400
XCD 84
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What Stands Out
Beginner-Friendly
Designed for newcomers, this guide simplifies complex statistical concepts, making it easy for anyone to learn R programming without prior experience, ensuring a smooth learning curve.
Comprehensive Coverage
Covers a wide range of statistical methods and R functions, providing practical examples and exercises that equip users with applicable skills for real-world data analysis.
Accessible Format
Part of the renowned 'For Dummies' series, it features clear explanations and easy-to-follow instructions, making it an essential resource for self-learners and students alike.
Product Details
| Publisher | For Dummies |
| Publication date | March 20, 2017 |
| Edition | 1st |
| Language | English |
| Print length | 464 pages |
| ISBN-10 | 9781119337065 |
| ISBN-13 | 978-1119337065 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7.3 x 1.2 x 9.1 inches (18.5 x 3 x 23.1 cm) |
Who Should Buy?
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Beginners in Statistics
Ideal for individuals just starting, offering clear explanations and practical examples of statistical concepts.
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Data Science Students
Useful for students learning data analysis, providing a foundation in R programming for practical applications.
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Non-Technical Professionals
Great for professionals needing statistical insights without extensive technical background, simplifying complex topics.
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Experienced Statisticians
Advanced users may find the content too basic and lacking in depth for complex statistical analysis.
Product Description
Statistical Analysis with R For Dummies For Dummies ComputerTech 1st Edition
About This Item
Experience the power of statistical analysis with R, the leading programming language for data science and statistical computing with the book "Statistical Analysis with R For Dummies." This comprehensive guide, designed specifically for beginners, will teach you everything you need to know to master R and effectively analyze your data. Whether you're a data scientist, a student, or a business professional, this book is your key to unlocking the potential of R. With the "Statistical Analysis with R For Dummies," you will discover how to import, manipulate, and visualize your data using R's powerful tools. Learn how to perform statistical tests, create insightful visualizations, and build predictive models to make informed decisions. This 1st edition book is written in the user-friendly and accessible "For Dummies" style, making complex concepts easy to understand.
You'll find step-by-step instructions, practical examples, and real-world case studies to help you apply your newfound knowledge in a variety of industries and domains. Whether you're just starting your R journey or looking to enhance your existing skills, this book is the ultimate resource. Get ready to become a master of statistical analysis with R and unlock a world of possibilities in data science and analytics. Keywords: R For Dummies, Statistical Analysis with R For Dummies, For Dummies Computers, R Data Analysis For Beginners, Learning R Programming for Data Science, Introduction to Statistical Analysis with R, R Basics for Beginners, Mastering R Programming, Data Visualization with R, Advanced R Programming Techniques, R for Data Analysis and Visualization, R Programming for Statistical Computing, Practical R Programming Examples, Data Manipulation with R, R for Machine Learning, Deep Learning with R, R Programming for Business Analytics, Time Series Analysis with R, R for Data Mining and Predictive Analytics, Text Mining with R, Applied Statistical Modeling with R.
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Mathematical & Statistical Editorial Review
**Editorial Review of "Statistical Analysis with R For Dummies"** "Statistical Analysis with R For Dummies" serves as a focused guide for those who possess a basic understanding of R programming and are looking to delve into statistical analysis. While the book does not cover the entirety of the R language, it excels in its dedicated examination of statistical concepts and applications utilizing R’s statistical packages. The material demonstrated, such as linear models, ANOVA, and fundamental tests like z-tests and t-tests, are particularly beneficial for those in academic settings or those needing to apply statistical methodologies practically. Despite its strengths, the book does come with certain limitations. It is not intended for complete beginners in R, as it skips over some fundamental programming aspects in favor of a more statistical perspective. Readers may find the lack of comprehensive coverage and exercises a drawback, especially if they are not already familiar with R or statistics. Additionally, there are mentions of potential coding issues within the text, which may require users to troubleshoot based on context. Nevertheless, many readers appreciate the book’s clarity in explaining complex concepts and the updated content that includes R Studio, enhancing user experience. For those who take the time to carefully navigate its content, "Statistical Analysis with R For Dummies" can serve as a valuable resource. It is particularly noted for bridging gaps in knowledge and aiding users in transitioning from theoretical statistics to practical application using R. **
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Pros
- Focused content on statistical analysis using R.
- Provides practical examples and clear explanations of complex concepts.
- Recent publication includes updated information on R Studio.
- Helpful for students and professionals needing to apply statistical techniques.
Cons
- Assumes basic knowledge of R, not suitable for complete beginners.
Product Price History
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