<p>This book focuses on three core knowledge requirements for effective and thorough data analysis for solving business problems. These are a foundational understanding of:</p> <p>1. statistical, econometric, and machine learning techniques;<br></p> <p>2. data handling capabilities;</p> <p>3. at lea
Data Science & Business Analytics
โ Scribed by -, Dr. Sneha Kumari (editor), Dr. K. K. Tripathy (editor), Dr. Vidya Kumbhar (editor)
- Publisher
- Emerald Publishing
- Year
- 2020
- Tongue
- English
- Leaves
- 288
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Data Science and Analytics explores the solutions to problems in society, environment and in industry. With the increase in the availability of data, analytics has now become a major element in both the top line and the bottom line of any organization. This book explores perspectives on how big data and business analytics are increasingly essential in better decision making.
This edited work explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications. Data Science and Analytics brings together researchers, engineers and practitioners to encompass a wide and diverse range of topics in a wide range of fields.
The book will provide unique insights to researchers, academics and data scientists from a variety of disciplines interested in analyzing and application of big data analytics, as well as data analysts, students and scholars pursuing advanced study in big data.
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<p><p>This edited volume is brought out from the contributions of the research papers presented in the International Conference on Data Science and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data science and business
<span><span><p><em>Data Science and Big Data Analytics</em> is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to