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39694863
A First Course in Statistical Programming with R
86% of respondents would recommend this to a friend
Nº de artículo:
39694863
COP 252429
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This is the only introduction you'll need to start programming in R, the computing standard for analyzing data.
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What Stands Out
Comprehensive Content
The third edition offers in-depth coverage of statistical programming, incorporating the latest R techniques and packages, ensuring learners gain a strong foundation in data analysis and statistical modeling.
Practical Applications
Real-world examples and exercises build practical skills, helping students apply R programming to solve relevant statistical problems, enhancing learning outcomes for aspiring data scientists and statisticians.
User-Friendly Approach
Designed for beginners, this course simplifies complex concepts and provides clear explanations, making it an essential resource for students and professionals eager to master statistical programming with R.
Detalles de producto
| Publisher | Cambridge University Press |
| Publication date | July 8, 2021 |
| Edition | 3rd |
| Language | English |
| Print length | 280 pages |
| ISBN-10 | 1108995144 |
| ISBN-13 | 978-1108995146 |
| Item Weight | 1.32 pounds (600 grams) |
| Dimensions | 7.44 x 0.64 x 9.69 inches (18.9 x 1.6 x 24.6 cm) |
Who Should Buy?
-
Beginner Statisticians
Ideal for newcomers learning R, providing foundational knowledge in statistical programming and data analysis techniques.
-
Academic Institutions
Useful as a textbook for statistical courses, integrating theory with practical exercises in R programming.
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Self-learners
Great for individuals seeking to self-study statistics and R, featuring clear explanations and practical examples.
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Advanced Users
Not ideal for experienced programmers seeking in-depth statistical methods; focuses on introductory content and basic programming.
DESCRIPCIÓN DEL PRODUCTO
A First Course in Statistical Programming with R
About This Item
Title: Learn, Master, and Apply Statistical Programming with R - A First Course in Statistical Programming with R 3rd Edition Description: Welcome to the world of statistical programming with R! If you're looking to dive into data analysis, statistical modeling, data visualization, and machine learning using R, then "A First Course in Statistical Programming with R 3rd Edition" is the perfect guide to get started. Whether you're a beginner or already have some experience in programming, this comprehensive book will help you develop a solid foundation in R programming. It covers everything from the basics of R programming to advanced techniques, making it suitable for both newcomers and experienced users. With this book, you'll learn how to effectively manipulate data, write efficient code, and perform complex statistical analyses. The step-by-step tutorials will walk you through each concept, allowing you to apply what you've learned to real-world data sets and projects.
From data cleaning and transformation to statistical modeling and machine learning, this book covers all aspects of data analysis using R. What sets this book apart is its emphasis on practicality. It goes beyond theory and offers numerous case studies, examples, and hands-on exercises to help you understand and apply the concepts effectively. You'll also gain insights into best practices and tips and tricks that will improve your efficiency and productivity in R programming. Whether you're pursuing a career in data science, working on research projects, or simply want to enhance your data analysis skills, "A First Course in Statistical Programming with R 3rd Edition" will be an invaluable resource.
Start your journey towards becoming a proficient R programmer and unleash the power of R for data analysis and visualization. Don't miss out on this opportunity to learn R programming and unlock a world of possibilities for your data analysis endeavors. Grab your copy of "A First Course in Statistical Programming with R 3rd Edition" now and embark on a thrilling statistical programming journey with R.
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características y beneficios
- Comprehensive introduction to R programming and data analysis.
- Includes the latest tidyverse design principles and ggplot2.
- Features expanded simulation chapter and new examples.
- Real R code and practical exercises to enhance learning.
- Focus on portable programming skills applicable to multiple languages.
- Access additional resources including datasets and solutions online.
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