• Aadhitya Sriram

Data science is a field of study that deals with abundant data resources using complex machine learning algorithms to derive meaningful information that is practically useful to the business world. In the past few years, data science has become one of the major talks of the century. For beginners, it may appear quite complicated to start learning data science, but with all the different ways by which it can be implemented, Data Science generates an overwhelming response from beginners. In this manuscript, we begin with a discussion on the basic definitions of data science and also look at why python is one of the best options for data science. This manuscript also attempts to implement data science using python's amazing collection of basic libraries and packages with several examples and discusses the fundamental pre-requisites and importance of data science in the 21st century. Finally, a comprehensive project with a detailed explanation of the same gives a summary of how data science helps acquire the power of information.

Data science, Python, NumPy, Seaborn, SciPy

"Data science: a beginner’s guide to the power of information", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.a885-a891, June-2021, Available :http://www.jetir.org/papers/JETIR2106123.pdf

"Data science: a beginner’s guide to the power of information", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppa885-a891, June-2021, Available at : http://www.jetir.org/papers/JETIR2106123.pdf