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 Learn Agile Data Science Full, we have used appropriate examples to help you understand agile development and data science in a general and quick way.
This Learn Agile Data Science Full has been prepared for developers and project managers to help them understand the basics of agile principles and its implementation. After completing this Learn Agile Data Science Full, you will find yourself at a moderate level of expertise, from where you can advance further with implementation of data science and agile methodology.
It is important to have basic knowledge of data science modules and software development concepts such as software requirements, coding along with testing.
Last updated on 2018年09月13日
此版本包含小幅錯誤修正和一般改善。請更新至最新版本,以獲得最佳體驗。