Exercise – Module -5
1- Using what you have learned and read in the course so far, rewrite the 12 Agile principles specifically for data analytic projects. Keep to the original intent of the principle unless you believe it needs to be replaced. In this case, explain your rationale.
Your principles should be meaningful, original, concise, and data analytic specific. Provide an explanation as needed. Don’t just add in “data analytic” to the existing principles. Give it meaningful thought.
2- Consider a data analytics project that you either have experienced or one you imagine and describe how using an Agile method (like Scrum) to manage the project has, or could, affect its quality and schedule.
Additional Instruction:
For all written assignments, use a 12 point Times New Roman; spacing should be 1.5; default, normal margins.
Deductions will be made for egregious grammatical errors. Blackboard SafeAssign is used to check for plagiarism.
RESOURCES:
1- The Agile Principles: http://agilemanifesto.org/principles.html
2- Greate source for the Agile 12 principles in data science: https://edwinth.github.io/ADSwR/agile-data-science.html#the-twelve-principles-in-the-data-science-context
3- Agile in Data Science: https://medium.com/better-programming/using-agile-methodologies-in-data-science-82534bd047c8
4- What is Scrum: https://www.scrum.org/resources/what-is-scrum
5- More on Scrum: https://www.youtube.com/watch?v=RaaBrPCo_Mw