Reading Quiz #3: Modules 4.1, 4.2
Some quick instructions:
- You must complete the quiz by the start of class on Feb. 12, 2018. The quiz is based on the readings for the whole week.
- 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.
Ready? Take the quiz by clicking this link.
Readings for Week 4
Session 4.1:
- Chapter 2: Good Graphics? Handbook of Data Visualization (Unwin—-pages 57-77)
Session 4.2:
Try some spurious correlations!
Here is the website I showed you in class today. Take a look and make your own correlations!
Good read/study on bias in big data/algorithms
Here’s a good read on Pew on AI and bias. It’s going to be an ongoing topic in your careers well beyond this class.
Data, analytics outlook for marketing, advertising; Is Facebook evil?
A few bonus reads for those of you interested…
Some of you noted you have a focus communication, PR, advertising and marketing. Here’s an IAB report/outlook on emerging data trends in advertising (as it applies to digital media).
Related riff on whether Facebook and Internet companies are evil. A whole lot of data (and metadata) in those Facebook databases.
And the most recent item on Facebook’s impact on mental health
In class exercise 3.2: Tableau fundamentals with Lynda
On your Temple portal, you have access to a service called Lynda. It’s a video training company that LinkedIn bought a few years back and is now part of Microsoft, which acquired LinkedIn.
In either case, we are going to skip around a bit in the training to get you acquainted with it. It’ll will come in handy next week. Once you’re in Lynda, you create a quick profile and search for Tableau. There’s a basics course there.
In-Class Exercise 3.1: Trusting Data
Here is the exercise
Weekly Question #2: Complete by Feb. 5, 2018
Leave your response as a comment on this post by the beginning of class on Feb. 5, 2018. 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.
Reading Quiz #2: Complete by Feb. 5, 2018
Some quick instructions:
- You must complete the quiz by the start of class on Feb. 5, 2018. The quiz is based on the readings for the whole week.
- 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.
Ready? Take the quiz by clicking this link.