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Data Science

Spring 2019 - Section 002 - Larry Dignan

Data Science

MIS 0855.002 ■ SPRING 2019 ■ LARRY DIGNAN
  • Announcements
  • Schedule
  • About
    • Course Objectives & Policies
    • Evaluation & Grading
    • Getting Tableau Desktop
    • Readings
    • Slide Decks
    • Instructor
    • Gradebook

Schedule

DAY TOPIC IN-CLASS EXERCISE DUE
1/14 1.1 Introduction 1.1 Data is Everywhere!
1.2 Science and Data Science 1.2 Developing Hypotheses 1.2 Readings
1/28 2.1 A Brief Introduction to Data 2.1 Building a Data Dictionary Quiz 1

2.1 & 2.2 Readings

2.2 Identifying Sources of Data 2.2 Finding Sources of Data
2/4 3.1 Learning to (Mis)trust Data 3.1 Assessing Trustworthiness of Data Quiz 2

3.1 Readings

2/11 4.1 Viewing Data

4.2 Introduction to Tableau

4.1 Finding Good and Bad Visualizations

4.2 Getting Familiar with Tableau

Quiz 3

4.1 & 4.2 Readings

2/15 Assignment: Analyze a Data Set Using Tableau Due Feb. 15 3 p.m. ET
2/18 5.1 Communicating Using Data 5.1 Telling Stories Through Visualizations Quiz 4

5.1 & 5.2 Readings

5.2 Storytelling with Infographics 5.2 Creating Infographics
6.1 Exam Review
2/25 6.2 EXAM 1
3/5 NO CLASS-SPRING BREAK
3/11 7.1 Dirty Data

7.2 Data Cleansing

7.1 How Data Gets Dirty

7.2 Finding Bad Data in Excel

Quiz 5

7.1 & 7.2 Readings

3/15 Assignment Cleaning a data set due March 15 at 3 p.m. ET
3/18 8.1 Choosing Relevant Data

8.2 Evaluating Key Performance Indicators (KPIs)

8.1 Identifying KPIs

8.2 Visualizing KPIs

Quiz 6

8.1 & 8.2 Readings

3/25 9.1 Connecting Diverse Data

9.2 Creating Interactive Dashboards

9.1 Connecting Diverse Data

9.2 Creating Interactive Dashboards

Quiz 7

9.1 & 9.2 Readings

 10.1 Exam Review
4/1 10.2 EXAM 2
4/8 11.1 Storing and Retrieving Data 11.1 Creating a Database Quiz 8

11.1 & 11.2 Readings

11.2 Using Tableau to Aggregate Data 11.2 Working with ‘Pivot Tables’ in Tableau
4/15 12.1 Beyond Numbers 12.1 Manually Determining the Sentiment of Text Data Quiz 9

12.1 & 12.2 Readings

12.2 Twitter Sentiment Analysis using Excel and Google Drive 12.2 Sentiment Analysis using Excel
4/22 13.1 Predicting the Future 13.1 Predicting Future Enrollment Quiz 10

13.1 & 13.2 Readings

13.2 Predictive Analytics Using Tableau 13.2 Simple Predictive Analytics
4/26 Assignment Due: April 26 3 p.m. Group Analysis Final Assignment
4/29 Group Presentations

Exam Review

5/6 Final Exam 5:30 p.m. Any missing items

 

Primary Sidebar

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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