Practical Data Science with Python 3: Synthesizing Actionable Insights from Data

© Ervin Varga 2019

E. Varga Practical Data Science with Python 3https://doi.org/10.1007/978-1-4842-4859-1_1

1. Introduction to Data Science

Ervin Varga¹ 

(1)

Kikinda, Serbia

 

Let me start by making an analogy between software engineering and data science. Software engineering may be summarized as the application of engineering principles and methods to the development of software. The aim is to produce a dependable software product. In a similar vein, data science may be described as the application of scientific principles and methods to data collection, analysis, and reporting. The goal is to synthesize reliable and actionable insights from data (sometimes referred as data product). To continue with our analogy, the systems/software development ...