What is the Data Science Lifecycle? (2 of 28)

Created by Saima Farheen, Modified on Mon, 31 Aug, 2020 at 3:58 PM by Saima Farheen

In this video you will learn what the Data Science Lifecycle is and how you can use it to design your data science solutions. This lifecycle is designed for data science projects that are intended to ship as part of intelligent applications and it is based on the following 5 phases: 1) Business understanding; 2) Data acquisition and understanding; 3) Modeling; 4) Deployment; 5) Customer acceptance. https://www.aka.ms/DataScienceLifecycle 





For more tips like this, check out the working remotely playlist at www.youtube.com/FoetronAcademy . Also, if you need any further assistance then you can raise a support ticket and get it addressed. 



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