MIS 0855: Data Science Fall 2017

Section 004, Instructor: Larry Dignan

Class structure and readings for first class

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 Sept. 11 class. 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.


How to get Tableau for class and license key

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.

Welcome to MIS 0855!

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.

Office Hours

Larry Dignan lawrence.dignan@temple.edu Alter Hall 232 267.614.6467 Class time: 5:30-8pm, Mondays Office hours: Monday half hour before class, half hour after class or by appointment. ITA: Nathan Pham. Contact via email at Nathan.Pham@temple.edu