Essentials of Data Science and Analytics: Statistical Tools, Machine Learning, and R-Statistical Software Overview

Data science and analytics have emerged as the most desired fields in driving business decisions. Using the techniques and methods of data science, decision makers can uncover hidden patterns in their data, develop algorithms and models that help improve processes and make key business decisions.

Data science is a data driven decision making approach that uses several different areas and disciplines with a purpose of extracting insights and knowledge from structured and unstructured data. The algorithms and models of data science along with machine learning and predictive modeling are widely used in solving business problems and predicting future outcomes.

This book combines the key concepts of data science and analytics to help you gain a practical understanding of these fields. The four different sections of the book are divided into chapters that explain the core of data science. Given the booming interest in data science, this book is timely and informative.

About author(s):Dr. Amar Sahay is a professor engaged in teaching, research, consulting, and training. He has a BS in production engineering from Birla Institute of Technology, India, an MS in industrial engineering and a PhD in mechanical engineering, - both from University of Utah, USA. He has taught/is teaching at several Utah institutions including the University of Utah, school of engineering and management, SLCC, Westminster college, and others. Amar is a certified Six Sigma Master Black Belt and holds expert-level certification in lean manufacturing / and lean management. He has contributed over 30 research papers in national and international conferences. Amar is the author of more than 10 professional and textbooks.