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Data Science

Spring 2019 - Section 002 - Larry Dignan

Data Science

MIS 0855.002 ■ SPRING 2019 ■ LARRY DIGNAN
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Assignments

Assignment 3: Final (Group) Project due April 26, presentations April 29

March 25, 2019

Here are the assignment instructions.  Groups MUST be 4 to 5 members.  You may not do this assignment on your own or in smaller groups than 5.

Input your teams into this Google Doc.

Note that the date on the assignment is incorrect.

Once we form groups April 1 the following deadlines will apply:

April 8 (end of class): Need your idea you’ll examine in the assignment for approval.

April 17: Need a note that your group has met and set individual deliverables for the group.

For these interim deadlines all I need is an email from each group leader detailing the team, the topic and rough plan. The main goal is to account for idea changes (many of you will course correct after exploring the data). I’m here to help you focus, refine, find sources etc.

The assignment is due April 26 at 3 p.m. We’ll do the presentations Monday, April 29.

Filed Under: Assignments

Assignment 2: Cleaning a Data Set due March 15 3 p.m.

March 11, 2019

Here are the instructions (in Word)   (and as a PDF).  Make sure you read them carefully!  This is an assignment that should be done individually.

And here is the data file you’ll need: VandelayOrders(Jan).xlsx.

Filed Under: Assignments

Assignment 1: Analyze a Data Set Using Tableau Due Feb. 15 3 p.m.

February 8, 2019

Here is the assignment. Note that the assignment on the PDF is labeled Assignment 2, but ignore it.

Here is the worksheet as a Word document to make it easy to fill in and submit (along with your Tableau file).

And here is the data file you will need to complete the assignment [In-Class Exercise 2.1 – 2015 Car Fuel Econ [Start].xlsx]. There is a deliverable sheet that needs to be emailed to me by 2/15 at 3 p.m. I will need both the Tableau workbook as well as the answer sheet. 

Filed Under: Assignments

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Recent Announcements

  • Final Exam Reminder
  • Study Guide for Exam 3 (Final Exam)
  • In class exercise 13.2 driver download
  • In-Class Exercise 13.2: Simple Predictive Analytics
  • Primer on descriptive, prescriptive, predictive analytics

For student help:

Larry Dignan

Phone: 267.614.6467

Office hours: 5:00-5:30pm and 8 to 8:30pm, Mondays, main campus; By appt via Zoom, Skype, FaceTime etc.

ITA: Nhi Nguyen

Great Data Sites

  • FiveThirtyEight
  • Guardian Data Blog
  • Flowing Data
  • Financial Times Data Blog
  • Socrata Open Data
  • Pew Research Data

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