ABSTRACT
This chapter covers what data science is and how it is related to various disciplines from mathematics to business intelligence and from programming to design. It discusses the characteristics that make a good data scientist and the composition of a data science team. The chapter provides an overview of the typical workflow in a data science and analytics project and shall see the trials and tribulations in the work cycle of a data scientist. Data science and analytics are rapidly gaining prominence as some of the more sought after disciplines in academic and professional circles. A data scientist requires the knowledge of mathematics and computer science, but also a good business background. There are many open source tools that can be readily used in the data science workflow. The use of scripting languages such as Python provides a professional platform for application development and deployment.
