I don’t know how to handle this Computer Science question and need guidance.
Question:
Discuss the various stages of Data Analytics Lifecycle.
Which of the stages is more important to you and why?
Discussion Requirements:
List and explain the stages of Data Analytics Life-cycle.
In your opinion, explain which stage is more important and why?
Support your discussion with practical examples
It is important to search for the articles in the area and use them to buttress your discussion.
Your citations and references must follow an APA format.
Some useful links:
CRISP-DM: Cross Industry Standard Process for Data Mining
https://www.linkedin.com/pulse/chapter-1-introduction-crisp-dm-framework-data-science-anshul-roy
https://www.the-modeling-agency.com/crisp-dm.pdf
http://www.informit.com/articles/article.aspx?p=2473128&seqNum=11