Price: $9.99
(as of Oct 11, 2024 14:06:50 UTC – Details)
R Programming for Data Science: A Practical Guide with Hands-On Exercises
Master RStudio, Data Wrangling, Analysis, Visualization (ggplot2), and Essential Packages
Are you ready to harness the full potential of R programming for your data science projects? Whether you’re a beginner taking your first steps or an experienced analyst looking to sharpen your skills, this comprehensive guide is your key to mastering the R landscape.
Dive into Practical Learning:
Conquer R Fundamentals: Build a solid foundation in R syntax, data types, variables, and essential programming concepts.Master RStudio: Navigate the powerful RStudio environment, manage projects, and customize your workspace for optimal productivity.Wrangle and Transform Data: Learn the art of cleaning, reshaping, and manipulating datasets using dplyr and tidyr.Analyze with Confidence: Explore descriptive statistics, probability distributions, hypothesis testing, and statistical inference.Visualize with ggplot2: Craft stunning data visualizations with ggplot2, transforming raw data into meaningful insights.Advanced R Techniques: Delve into object-oriented and functional programming, and harness the power of regular expressions.Essential Package Mastery: Leverage the capabilities of the tidyverse, caret, data.table, and lubridate packages.Real-World Projects: Apply your skills to real-world data science projects, including predictive modeling and time series analysis.Optimize Your R Code: Gain valuable tips for writing efficient, stylish, and debuggable R code.-
What Sets This Book Apart:
Hands-On Learning: Reinforce your understanding with numerous practical exercises and code examples.Clear Explanations: Complex concepts are broken down into easy-to-understand language, accessible to all levels.Step-by-Step Guidance: Progress from beginner to advanced R programmer with a carefully structured approach.Comprehensive Coverage: Covers all essential aspects of R for data science, from the basics to advanced techniques.Career-Focused: Prepare for a successful career in data science with the skills you’ll gain from this book.-
Who Should Read This Book:
Aspiring Data Scientists: Kickstart your data science journey with a strong foundation in R.Data Analysts: Expand your toolkit and enhance your data analysis capabilities with R.Students and Researchers: Learn the essential skills for using R in academic and research settings.Anyone Curious About Data: Discover the power of R for analyzing and visualizing data in any field.-
Empower yourself to explore, analyze, and communicate data insights with R. Get your copy of “R Programming for Data Science” today!
ASIN : B0D4R5LM5D
Publication date : May 20, 2024
Language : English
File size : 2885 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 417 pages
