November 2017
Beginner to intermediate
366 pages
7h 59m
English
Overview
Step into the world of advanced data analysis with 'R Data Analysis Projects.' In this hands-on guide, you will learn to build efficient analytics systems and pipelines using R for practical applications in finance, social media, and more. By following real-world projects, you'll enhance your data analysis skills, from implementing recommender systems to performing time-series modeling.
What this Book will help me do
- Develop end-to-end data analysis and visualization solutions using R.
- Create scalable predictive analytics systems with actionable insights.
- Leverage RShiny to build interactive dashboards for effective communication.
- Master popular R packages like dplyr, ggplot2, and recommenderlab.
- Tackle real-world data challenges in varied domains such as finance and social networks.
Author(s)
Gopi Subramanian is an experienced data scientist and educator with an extensive background in statistical modeling and analytics. With years of hands-on practice and teaching, Gopi specializes in making complex concepts accessible through practical examples. His passion for R programming and real-world applications shines in his approachable style, making learning empowering and engaging.
Who is it for?
This book is designed for readers with a foundational understanding of R and data analysis, aiming to advance their skills to a professional level. Ideal for data analysts, R programmers, and aspiring data scientists seeking practical experience in building analytics systems. Whether you're transitioning to or deepening your expertise in R, this guide offers actionable knowledge to enhance your projects.
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