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47:35
YouTube
Charles Edeki -- Math Computer Science Programming
Data Analytics Life Cycle - Six phases of data Science development process.
The data analytics encompasses six phases that are data discovery, data aggregation, planning of the data models, data model execution, communication of the results, and operationalization. These six phases of data analytics lifecycle are iterative with backward and forward and sometimes overlapping movement.
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Jun 9, 2020
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Data scientist remains one of the most in-demand jobs across all industries in the U.S. Curious to know more about the role, common backgrounds and skills? Check our report to gain valuable insights from 1 million data-related jobs. 👉https://www.datacamp.com/community/blog/what-skills-and-backgrounds-do-data-scientists-have-in-common | DataCamp
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