MIS 0855: Data Science Fall 2016

Section 006, Instructor: Shana Pote

Labor Day Weekend – availability

Class, 

Through Monday, 9/5/16, I will have limited access to Internet and email. I 
will check for email at least 1x/day, and respond immediately to urgent requests. 

All other email will be responded to when classes resume on Tuesday, 

9/6/16.

Enjoy your holiday weekend, see you on Wednesday!

Professor Pote

Weekly Question #1: Complete by September 7, 2016

Leave your response as a comment on this post by the beginning of class on September 7, 2016. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your opinions, not so much particular “facts” from the class!

If you sign in using your AccessNet ID and password you won’t have to fill in the name, email and captcha fields when you leave your comment.

Here is the question:

“Conventional wisdom” are statements people generally accept as true but are never really tested. One example is the belief that a company should avoid hiring people with criminal records. These can be supported or disproved through data – i.e., Evolv’s discovery that people with criminal records are up to 1.5% more productive than the average worker.

Give an example of a piece of conventional wisdom you’ve heard and explain what data you would collect to test it.

Reading Quiz #1: Complete by September 5, 2016

Some quick instructions:

  • You must complete the quiz by the start of class on September 5, 2016.
  • Note, there is no class being held on September 5 (Labor Day), but the quiz is still due by 8am September 5, 2016. This is to help you get in the habit of completing quizzes before the Monday 8am class start throughout the semester.
  • 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 we’ll reference for the coming week’s classes (M/W/F).

Ready? Take the quiz by clicking this link.

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.

Office Hours

Shana Pote (instructor)
By Appointment Only! Email to schedule time between 6-10 pm, M-F, or 9-12 S-S. Office hours will be via Google Hangout, Skype or WebEx
Email shana.pote@temple.edu to set up appointment.

ITA information

Craig Kestecher (ITA)
Office hours/tutoring, by appointment only.
Email: tuf94617@temple.edu