Using one of the tools (RStudio, Python, Jupyter, RapidMiner, or Tableau), demonstrate Diagnostic Analytics, explain your logic, and identify how your work is different from Predictive Analytics. (250-word count)

Evaluate at least 2 of your peers’ posts and identify areas to improve or where their analysis helped you learn something new. (150-word count)

Requirements:

• Students must not copy and post from sources. When referencing sources, students must rephrase all work from the authors and include in-text citations and references in APA format.
• Students must post their initial post by Thursday at 11:59 pm ET and have two full days of engagement (the first day of engagement must answer the initial post and then at least one more additional day of engagement with peers). All posts must be answered by Sunday at 11:59 p.m. ET.
• The initial discussion board posts must be from 200-250 words.
• Peer responses must be 150-250 words.
• The content must also not be from the textbook.
• Peer responses must be substantive.
• Build on something your classmate said.
• Explain why and how you see things differently.
• Ask a probing or clarifying question.
• Share an insight from having read your classmate's posting.
• Offer and support an opinion.
• Expand on your classmate's posting.

Answer rating: 100% (QA)

In this diagnostic analytics demonstration Ill use Python and Jupyter Notebook to showcase how this type of analytics differs from predictive analytic... View the full answer