Section 002, Instructor: Larry Dignan

Weekly Questions

Weekly Question #7: Complete by March 27, 2017

Leave your response as a comment on this post by the beginning of class on March 27, 2017. 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!

Here is the question:

Give an example of a KPI – some sort of metric for performance – that you use on a regular basis? Briefly discuss how it conforms to the SMART criteria.

(For example, my car tells me its average gas mileage. This is specific and measurable – gas mileage is a precise measure. It is achievable – I can alter my driving to try to get better mileage. It’s relevant – gas mileage has an impact on my costs! And it’s time-variant, I can look at gas mileage over a week, or a day, or a month.)

Weekly Question #6: Complete by March 20, 2017

Leave your response as a comment on this post by the beginning of class on March 9, 2017. 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!

Answer one of these:

We spent a little time in class discussing the article Stupid Data Corruption Tricks.

  1. Have you ever made one of the mistakes listed in the article? Describe what happened.
  2. If you haven’t made one of those mistakes, which one of them do you think is the most important to avoid?

Weekly Question #5: Complete by March 6, 2017

Leave your response as a comment on this post by the beginning of class on March 6, 2017. 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!

Here is the question:

Just like you did about a month ago, find another online article dated within last two weeks from a credible source that has something to do with data and is interesting and relevant to you. Copy and paste the URL directly into your response followed by a few sentences that explain what is interesting about it.

Weekly Question #4: Complete by February 20, 2017

Leave your response as a comment on this post by the beginning of class on February 20, 2017. 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!

Here is the question:

Take a look at the Hoven article from this week (“Stephen Few on Data Visualization: 8 Core Principles”). Which one of the eight principles do you think is most important? Why?

Weekly Question #3: Complete by February 13, 2017

Leave your response as a comment on this post by the beginning of class on February 16, 2017. 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.

In your opinion, what industries do you see as most affected by data science? Or better yet what industries do you see has most likely to be disrupted by big data/data science/analytics? How do you see data science affecting your career? Relate your observation to the class material if you can and what I outlined for media.

Weekly Question #2: Complete by February 6, 2017

Leave your response as a comment on this post by the beginning of class on February 6, 2017. 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 (well, it’s not really a question):

Find a online article dated within last two weeks from a credible source that has something to do with data. It can be about the role of data or an interesting data-driven analysis. It should also be relevant to your major and of interest to you. Copy and paste the URL directly into your response followed by a few sentences that explain what is interesting about it.

You can use any of the sources under the “Great Data Sites” menu on the right sidebar of this page, or you can use any online news or magazine site.

Weekly Question #1: Complete by January 30, 2017

Leave your response as a comment on this post by the beginning of class on January 30, 2017. 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 disproven 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.

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