This week we focus on the ‘final exam’ which is actually a c

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This week we focus on the ‘final exam’ which is actually a comprehensive project. Please read the requirements and ensure that you are meeting all of the requirements of the assignment. The final exam is due on Wednesday at 11:59pm ET. Please ensure to read the required readings and to watch this weeks lecture as well.Lecture: https://us-lti.bbcollab.com/collab/ui/session/playbackPlease go through this reading for referenceEMC Education Service (Eds). (2015) Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing, and Presenting Data, Indianapolis, IN: John Wiley & Sons, Inc.Chapter 12, “The Endgame, or Putting It All Together”Final Exam (project)Instead of assigning a traditional exam for your “Final Exam”, you will demonstrate your understanding of the importance of the final two phases of the Data Analytics Lifecycle: Communicating the Results and Operationalizing. You have studied various analytic methods, along with surveying various available tools and techniques. But as a Data Scientist, you must also communicate what your team has accomplished.For your Final “Exam”, you will create a Final Sponsor Presentation. You have been hired by Aetna to use big data to improve patient health. The case study you will use can be found at: https://gigaom.com/2012/11/20/how-aetna-is-using-big-data-to-improve-patient-health/ .Your assignment is to take this case study and create a PowerPoint Presentation of the Final Sponsor Presentation, as described in Chapter 12 of your text. (Make sure to use the format presented in Chapter 12.)You will submit a PowerPoint Presentation file (ppt or pptx) with at least the following slides: (You can submit more, but I’m mainly looking for these six slides)Title (Your name + other info)Situation and Project GoalsExecutive SummaryApproachMethod DescriptionRecommendationsNote: There is no direct information in the case study that covers the specific analytics methods used. You will extrapolate from the provided information in the case study and provide your own interpretation of the method (or methods) the Data Science team used. Draw from what we have covered this semester and map what you learned to what that team probably did. There is no rubric for this assignment. I want you to be as creative as possible. Tell the story. Inspire your sponsors.

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