Agile is a software development methodology that helps in building software through incremental sessions using short iterations of 1 to 4 weeks so that the development is aligned with the changing business needs. Agile Data science comprises of a combination of agile methodology and data science. In this tutorial, we have used appropriate examples to help you understand agile development and data science in a general and quick way.

Audience

This tutorial has been prepared for developers and project managers to help them understand the basics of agile principles and its implementation. After completing this tutorial, you will find yourself at a moderate level of expertise, from where you can advance further with implementation of data science and agile methodology.

Prerequisites

It is important to have basic knowledge of data science modules and software development concepts such as software requirements, coding along with testing.