Agile is a software development methodology that helps in building software through incremental sessions using short iterations of 1 week to about a month so that the development is lined up with the changing business needs. Agile Data science includes of a combination of agile methodology and data science. In this study notes, we have utilized appropriate examples to help you understand agile development and data science in a general and quick way.
This study notes has been prepared for engineers and project managers to assist them understand the basics of agile principles and its implementation. After finishing this study notes, you will find yourself at a moderate level of expertise, from where you can progress further with implementation of data science and agile methodology.
It is essential to have basic knowledge of data science modules and software development concepts such as software requirements, coding along with testing.