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Introduction to Data Science

Introduction to Data Science

M. Govindarajan
Copyright: © 2021 |Pages: 18
ISBN13: 9781799830535|ISBN10: 1799830535|EISBN13: 9781799830542
DOI: 10.4018/978-1-7998-3053-5.ch001
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MLA

Govindarajan, M. "Introduction to Data Science." Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics, edited by Bhushan Patil and Manisha Vohra, IGI Global, 2021, pp. 1-18. https://doi.org/10.4018/978-1-7998-3053-5.ch001

APA

Govindarajan, M. (2021). Introduction to Data Science. In B. Patil & M. Vohra (Eds.), Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics (pp. 1-18). IGI Global. https://doi.org/10.4018/978-1-7998-3053-5.ch001

Chicago

Govindarajan, M. "Introduction to Data Science." In Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics, edited by Bhushan Patil and Manisha Vohra, 1-18. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-3053-5.ch001

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Abstract

This chapter focuses on introduction to the field of data science. Data science is the area of study which involves extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes. The term data science has emerged because of the evolution of mathematical statistics, data analysis, and big data. Data science helps to discover hidden patterns from the raw data. It enables to translate a business problem into a research project and then translate it back into a practical solution. The purpose of this chapter is to provide emphasis on integration and synthesis of concepts, techniques, applications, and tools to deal with various facets of data science practice, including data collection and integration, exploratory data analysis, predictive modeling, descriptive modeling, data product creation, evaluation, and effective communication.

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