Title: Essentials of Data Science and Analytics: Statistical Tools in Data Science and Analytics?an Overview of Machine Learning and R-Statistical Software (eng)
Publisher: Business Expert Press
Publication Date: 2021
Language: English
ISBN 10: 1631573454
ISBN 13: 9781631573453
Binding: Soft cover
Condition: new
Weight: 0.67 kilograms

About this title

Synopsis

This book combines the key concepts of data science and analytics to help you gain a practical understanding of these fields.

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 the Author

Dr. Amar Sahay is a professor engaged in teaching, research, consulting, and training. He has a BS in production engineering (Birla Institute of Technology, India), MS in industrial engineering and a PhD in mechanical engineering –both from University of Utah, USA. He has taught/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/ 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. Among his recent publications are Six Sigma Quality–Concepts and Cases, Statistics & Data Analysis Concepts, Managing and Improving Quality, Applied Regression & Modeling, Data Visualization, and Business Analytics/ Business Intelligence. He is also associated with QMS Global LLC; a company engaged in the areas of data visualization, analytics, lean six sigma, data analytics, manufacturing, and services systems analysis. Amar is a senior member of Institute of Industrial & Systems Engineers, and a senior member of American Society for Quality (ASQ).

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