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Are you thinking of learning more about Data Science From scratch by using R?

Data science is the practice of transforming data into knowledge, and R is the most popular open-source programming language used for data science. In this book, we will learn how to use the principles of data science and the R programming language to answer day-to-day questions about your data.
As an overview of this book, first, we’ll learn about the practice of data science and the R programming language. Then, we’ll learn how to work with data to create descriptive statistics, data visualizations, and statistical models. Finally, we’ll learn how to handle big data, make predictions with machine learning, and deploy our applications into production. By the end of this book, you’ll have the skills necessary to use R and the principles of data science to transform your data into actionable insight.

Several Visual Illustrations and Examples

Instead of tough math formulas, this book contains several graphs and images which detail all important R and data science concepts and their applications.

Target Users

The book designed for a variety of target audiences. The most suitable users would include:

Beginners who want to approach data science, but are too afraid of complex math to start

Newbies in computer science techniques and machine learningProfessionals in data science and social sciencesProfessors, lecturers or tutors who are looking to find better ways to explain the content to their students in the simplest and easiest way Students and academicians, especially those focusing on data science

What’s Inside This Great Book?

Introduction Why Data Science? Basics of R Programming with respect to Data Science Essentials of R Programming R Functions Working With Data in R Practical Using R in data science to classify vehicles according to their fuel efficiency Creating descriptive Statistics using R Handling Big Data Machine Learning with R Deploying into Production Spatial Visualization with ggplot2 Logistic Regression Random forest Support Vector Machine(SVM) using R

Frequently Asked Questions

Q: Is this book for me and do I need programming experience?
A: f you want to smash Data Science from scratch, this book is for you. Little programming experience is required. If you already wrote a few lines of code and recognize basic programming statements, you’ll be OK.

Q: Can I loan this book to friends?
A: Yes. Under Amazon’s Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days.

Q: Does this book include everything I need to become a data science expert?
A: Unfortunately, no. This book is designed for readers taking their first steps in data science and further learning will be required beyond this book to master all aspects of data science.

Q: Can I have a refund if this book is not fitted for me?
A: Yes, Amazon refund you if you aren’t satisfied, for more information about the amazon refund service please go to the amazon help platform. We will also be happy to help you if you send us an email at customer_service@datasciences-book.com.