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Item #:
97329653
R for Biologists: Learn R programming from scratch | No prior coding experience required | An absolute beginner's guide (Biotechnology Books)
Item #:
97329653
HUF 12889
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What Stands Out
Beginner Friendly
Specifically designed for absolute beginners, this guide introduces R programming without assuming any prior coding knowledge, ensuring a smooth and accessible learning experience.
Biology Focused
Tailored for biologists, the content emphasizes practical applications of R in biological fields, making complex programming concepts relatable and applicable to scientific research.
Comprehensive Resource
Covers fundamental to advanced R programming concepts systematically, providing a complete toolkit for biologists to effectively analyze data and interpret results in their research projects.
Product Details
- Unlock the power of data analysis with R, designed specifically for biologists like you!This book R for Biologists: Learn R Programming from Scratch is designed specifically for biologists with no prior programming experience. Whether you're a student, researcher, or professional, this comprehensive guide will provide you with a solid foundation in R, enabling you to handle and analyze biological data with confidence.Why choose this book?This book is your hands-on introduction to R programming, crafted with the understanding that you have no prior coding experience. Each chapter is a carefully structured step forward, building on what you've learned and guiding you through practical, real-world biological examples. By following along with code-along exercises, you'll see exactly how to apply new concepts as you learn them.Who is this book for?Biologists with no prior programming experienceStudents, researchers, and professionals looking to enhance their data analysis skillsAnyone eager to learn R from the ground up, with no prerequisites requiredYou don't need any background in programming or even R installed on your computer to get started—this book will guide you through every step, from installation to advanced analysis.What you will learn:By the end of this book, you'll have mastered:Installing and configuring R and RStudio on your computerUnderstanding fundamental R programming concepts, including variables, data types, and functionsWriting and executing R scripts to streamline your tasksOrganizing and managing biological data with vectors, matrices, lists, and data framesSummarizing and restructuring complex datasetsCreating publication-quality visualizations of your data using ggplot2, including scatter plots, bar charts, histograms, and moreReading and importing data from CSV, Excel, and FASTA files into RHarnessing the power of packages like 'dplyr' and 'tidyverse' to efficiently organize, transform, and prepare biological data for analysisConducting genome sequence analysis using Bioconductor packagesPerforming RNA-Seq data analysis, from normalization to differential expressionTackling real-world biological datasets with confidenceWhy Learning R is Easier Than You ThinkLearning R is like learning a new language—it requires patience and practice, but with the right guide, it's a journey that can be both enjoyable and immensely rewarding. R for Biologists: Learn R Programming from Scratch makes the learning process accessible, practical, and directly applicable to your field.Get Started TodayDon't just read about R—experience it. Dive into R for Biologists: Learn R Programming from Scratch and equip yourself with the skills to analyze and visualize your data like never before. Whether you're looking to boost your research, enhance your studies, or simply broaden your skillset, this book is the perfect starting point.
| Publisher | Roohi Bansal |
| Publication date | August 15, 2024 |
| Language | English |
| Print length | 480 pages |
| ISBN-10 | 9334098767 |
| ISBN-13 | 978-9334098761 |
| Item Weight | 1.77 pounds (800 grams) |
| Dimensions | 6 x 1.09 x 9 inches (15.2 x 2.8 x 22.9 cm) |
| Part of series | Biotechnology Books |
| Country of Origin | This item will be imported from US |
| What is in the box | R for Biologists: Learn... For more details, please check description/product details |
Who Should Buy?
-
Biology Students
Ideal for students pursuing biology who need to learn R for data analysis in research and projects.
-
Beginner Coders
Perfect for individuals with no coding experience looking to understand programming through biological applications.
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Research Professionals
Beneficial for researchers needing to analyze biological data using R without prior programming knowledge.
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Advanced Programmers
Experienced coders will find the content too basic and not challenging enough for their skill level.
Product Description
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Biostatistics Editorial Review
R for Biologists: Learn R programming from scratch | No prior coding experience required | An absolute beginner's guide (Biotechnology Books) offers a comprehensive entry point for beginners in the life sciences to delve into R programming. Published by Roohi Bansal, this guide is praised for its accessible language and structured approach, making it suitable for those without any coding experience. While some reviewers noted the book's strengths in covering basic concepts, they also highlighted failures in depth, particularly in essential R programming practices like loops. Despite these critiques, many find it a helpful introductory resource, though some may seek additional material for more advanced topics.
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Pros
- Accessible language for absolute beginners.
- Solid introduction for life sciences students.
- Covers basic R programming concepts.
- Helpful for those with no coding background.
- Well-structured overall guide.
Cons
- Some topics lack depth and detail.
Product Price History
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HUF 12889
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Features & Benefits
- No prior programming experience required.
- Hands-on introduction with structured learning.
- Real-world biological examples and practical exercises.
- Master data analysis skills from installation to advanced techniques.
- Create high-quality visualizations with ggplot2.
- Enhance your research and broaden your skillset in data analysis.
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