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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

Slide Decks

Check the course schedule for the dates we are discussing the material.

Module 1

  • 1.1 Introduction
  • 1.2 Science and Data Science
  • 2.1 A Brief Introduction to Data
  • 2.2 Identifying Sources of Data
  • 3.1 Learning to (Mis)Trust Data

Module 2

  • 4.1 Viewing Data
  • 5.1 Communicating Using Data
  • 5.2 Storytelling with Infographics

Module 3

  • 7.1 Dirty Data
  • 7.2 Data Cleansing
  • 8.1. Choosing Relevant Data
  • 8.2. Evaluating KPIs
  • 9.1. Connecting Diverse Data
  • 9.2. Creating Interactive Dashboards

Module 4

  • 11.1. Storing and Retrieving Data
  • 11.2. Aggregating Data
  • 12.1  Beyond Numbers
  • 12.2  Twitter Sentiment Analysis
  • 13.1  Predicting the Future
  • 13.2  More on Predictive Analytics

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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