DATA SCIENCE
MIS0855 | Spring 2016
Group Project
SungYong Um
sungyong.um@temple.edu
Main Goal
 Have a chance to think about how things are going on outside
 Think about collecting your own big data
 Exercise without any guidance
 Construct your own logic to persuade others
 100 points for write-up & 30 points for presentation
Abstract (5 points)
 Briefly explain the phenomenon
 Your findings
 The way to analyze the data
 Implication
Introduction (15 points)
 Explain the phenomenon
 Explain why the phenomenon is interesting
 Explain the relationship among key performance indicators
 Explain the key questions you have
 Explain how you collect the data
Review how others do (10 points)
 Research presentation file, news articles, blogs, etc
 Understand key performance indicators that others did
 Understand their logic (or relationship among them)
 Specifically write down and organize what you learned from them
Theory development (25 points)
 Think about your own logic
 Make hypotheses (1 – 3)
 Write down the reason why your hypotheses make sense
( up to 3 paragraph)
Analytical approach (35 points)
 More than two different data will get extra credit
 Explain how you did for data cleaning if nothing to do just explain
attributes
 Use any analytical tool (primary tableu)
 Attach your output
 Explain your output
Conclusion (10 points)
 Explain your findings (or theory)
 Explain implications
Reference (requirement)
 Write down your reading list
Presentation (8 min presentation, 2 min Q& A)
 Slide 1: title, list of group members
 Slide 2: Phenomenon, question to answer, why your project is interesting
 Slide 3: Brief introduction of others (review section)
 Slide 4: Describe your hypotheses and logic
 Slide 5: Describe your data
 Slide 6 and 7: Analysis and output (visualization, infographics, dashboard )
 Slide 8: Conclusion (how your hypotheses are supported, implication)