Data Science

Abstract

Data science seeks to define and implement methods and procedures to extract information and knowledge from datasets. Computer algorithms need data to produce results. Given the early developments of hardware to perform the required calculations, the initial focus was on providing software to interface to the requirements of the user. As the power of the hardware increased, larger amounts of output were produced. At the same time, the transition to increasing use of the Internet and mobile computing has generated a much wider variety of data types. This complexity of data has generated an increasing requirement for specialized software tools and environments to provide the processing and analysis required. The objective is to understand the meaning of complex datasets. Business and commerce wish to know how their products and services meet the current and future requirements of the market place, as well as understanding the meaning of data that is internal to their own organizations. The rise of data science is due principally to the need to analyze large and complex datasets with high-value content. Such techniques are increasingly utilizing machine learning and artificial intelligence to provide effective ways forward.