• Log In
  • Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar

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

Reading Quiz #1: Complete by Jan. 28, 2019

January 14, 2019

Some quick instructions:

  • You must complete the quiz by the start of class on Jan. 28.
  • When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to sign in. It will then take you to the quiz.
    If it says you don’t have access, make sure you’re signed out of your regular Gmail (non-TUMail) account!
  • You can only do the quiz once. If you submit multiple times, I’ll only use the first (oldest) one.
  • This is “open book” – you can use the articles to answer the questions – but do not get help from anyone else.
  • The quizzes are on all of the readings for the coming week (Monday)

Ready? Take the quiz by clicking this link.

Filed Under: Uncategorized

How to get Tableau

January 14, 2019

This course uses Tableau a good bit and this year you’ll need your own individual license key (we used bulk keys before but typically would run out or run into issues). You can get a full copy of the Tableau software – PC or Mac – for free!

To request a free copy of the software:

  1. Go to the landing page and click the “Get Tableau for Free” button.
  2. Fill out the form and make sure that you use your temple.edu email address.
  3. They should contact you within a few days with more information on how to download the software.

Tableau’s site has a series of quick start guides and video-based training. If you want to do something that we don’t cover in class, check there.

Addendum (we had issues with the above method):

  • Download the latest version of Tableau Desktop here
  • Click on the link above and select Get Started. On the form, enter your school email address for Business E-mail and enter the name of your school for Organization.
  • Activate with your product key:  TCUS-4419-4D20-6584-ED89 
  • Already have a copy of Tableau Desktop installed? Update your license in the application: Help menu -> Manage Product Keys

Filed Under: Uncategorized

Reading list for week 2

January 14, 2019

The reading list for the week are the following:

  • The Ashley Madison Hack Is Only the Beginning
  • NSA phone calls
  • Spying on yourself
  • In search of America’s Best Burrito
  • Open Data
  • What the Fox knows

Filed Under: Uncategorized

In-Class Exercise 1.2: Developing Hypotheses

January 8, 2019

Here is the exercise

Filed Under: In Class Exercises

In class Exercise 1.1: Data is Everywhere

January 7, 2019

Here is the exercise

Filed Under: In Class Exercises

Class structure and readings for first class

January 4, 2019

Programming note about the Monday night classes. We will be covering two sections in the classes. As a result you should be familiar with the reading for 1.1 and 1.2 ahead of the first class Jan. 14. The reading assignment is Three Science Words… from Wired and Data Science and Prediction. The latter is the meatiest of the two readings. And there will be a quiz due before the second class on the second reading installment.

See you in the first class.

ld

Filed Under: Uncategorized

Course Syllabus

January 4, 2019

Here is the syllabus for the course. 

You should read the syllabus carefully. Everything you need to know is in this document. Also note that this syllabus is woven throughout the site, but this is a one stop print out if needed.

Filed Under: Uncategorized

Welcome to MIS 0855!

January 1, 2019

We are all drowning in data, and so is your future employer. Data pours in from sources as diverse as social media, customer loyalty programs, weather stations, smartphones, and credit card purchases. How can you make sense of it all? Those that can turn raw data into insight will be tomorrow’s decision-makers; those that can solve problems and communicate using data will be tomorrow’s leaders. This course will teach you how to harness the power of data by mastering the ways it is stored, organized, and analyzed to enable better decisions. You will get hands-on experience by solving problems using a variety of powerful, computer-based data tools virtually every organization uses. You will also learn to make more impactful and persuasive presentations by learning the key principles of presenting data visually.

It’s also worth noting that data science and literacy will apply to every profession. In fact, data science is forcing more integration between various fields and careers.

Filed Under: Uncategorized

  • « Go to Previous Page
  • Page 1
  • Interim pages omitted …
  • Page 4
  • Page 5
  • Page 6

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

Copyright © 2025 · Department of Management Information Systems · Fox School of Business · Temple University