PRODUCT DETAILS

What is Data Analytics?Data analytics is the art and science of turning raw data into actionable insights. It involves exploring, cleaning, and interpreting data to uncover meaningful patterns and trends, ultimately guiding informed decision-making.Why R?R is a versatile and powerful programming language specifically designed for data analysis. Its extensive collection of packages, user-friendly syntax, and robust statistical capabilities make it an ideal tool for both beginners and experienced analysts.What to Expect from This Book:Foundations: We'll start with the basics, building a solid foundation in statistics and R programming essentials.Data Manipulation: Learn to clean and transform data using tools like dplyr and tidyr.Visualization: Master the art of data visualization with the popular ggplot2 package.Machine Learning: Explore the application of R in machine learning, from classification to regression.Real-World Cases: Dive into case studies across various industries, applying R to solve practical data analytics challenges.Who Should Read This Book?Whether you're a newcomer to data analytics or looking to expand your R skills, this book caters to a diverse audience. From students and professionals to enthusiasts' eager to harness the power of data, our goal is to make the world of data analytics accessible and rewarding.So, let's embark on this journey together. By the end of this book, you'll not only have a solid grasp of data analytics principles but also the confidence to apply them in your own projects. Get ready to unlock the potential within your data and make data-driven decisions with R!

AUTHOR INFORMATION

Shridevi stands as a distinguished figure in the academic realm, boasting over a decade of hands-on experience teaching both undergraduate and graduate curricula in Electronics & Communication, successfully earned her Ph.D. in the avant-garde field of VANET technology, specifically focusing on the Intelligent Internet of Vehicles, from the esteemed Department of ECE at REVA University. Beyond her teaching capabilities, she is a prolific contributor to the academic literature. She has enriched the scientific community by publishing more than 8 Q-rated journal. Furthermore, her dedication to education extends to authoring two comprehensive university syllabus books, which have been fortunate to be affiliated with some of the industry's most renowned publishers. And one International Publications, Inventive streak is evidenced by the 6 patents.
Dr. Nayana Hegde did her Bachelor's in Electronics and Communication from Karnataka University, India in year 2001 and Master's in Digital Communication and Networking from VTU, India in 2014. She did her Ph.D. in Electronics and Communication and Engineering from REVA University Bangalore, India. She has published many research articles in reputed journals like IEEE, IGI Global, Taylor and Francis and Inderscience. Currently, she is working as an Assistant Professor at REVA University.
Dr. G. Hemanth Kumar, a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and an Assistant Professor specializing in Cyber Security and the Internet of Things (IoT) at REVA University, Bangalore, my passion lies in leveraging data analytics to enhance security and reliability in embedded systems and industrial applications. Throughout my career, I've focused on developing robust data analytics methods to safeguard sensitive information and ensure system integrity within the increasingly interconnected world. This passion fuels my research in cutting-edge data analysis techniques for securing IoT devices and embedded systems, constantly seeking to improve their functionality and overall security posture.
Dr. Manjunath Kounte is currently working as Professor and Head, Electronics and Computer Engineering, School of ECE, REVA University, Bengaluru, India. He has completed his Bachelors in Electronics and Communication Engineering and Master's in Computer Network Engineering from VTU Belagavi, India and Ph.D. from Jain University, Bengaluru. Dr. Manjunath Kounte is Senior Member, IEEE and has over published over 20+ Indexed Journal papers, 25+ International Conference papers, 1 book and 7 book chapters with h-index of 11. Under his able supervision 3 Scholars have been awarded with Ph.D. Degree and serving as reviewer of various peer reviewed International Journals from reputed publishers like IEEE, John Wiley, Springer, Elsevier, MDPI etc. His research interests include Machine Learning, IoT Edge Computing, Computer Networks, Signal Processing, Blockchain Technologies etc.