Assignment 1: Analyze a Data Set Using Tableau due Sept. 28 3 p.m.
Here is the assignment.
Here is the worksheet as a Word document to make it easy to fill in and submit (along with your Tableau file).
And here is the data file you will need to complete the assignment [In-Class Exercise 2.1 – 2015 Car Fuel Econ [Start].xlsx]. There is a deliverable sheet that needs to be emailed to me by 9/28 at 3 p.m.
In-Class Exercise 4.2: Getting Familiar with Tableau
Here is the exercise.
And here is the spreadsheet you’ll need to complete the exercise [In-Class Exercise 4.2 – FoodAtlas.xlsx].
Make sure you right-click on the Excel file link and select “Save [Link] As…” to save it to your computer before starting the exercise.
In-Class Exercise 4.1: Finding Good and Bad Visualizations
Here is the exercise
Here are the links in case you cannot click from the document.
Remember to leave a comment on this post with the link to your graphic for our discussion.
Reading Quiz #3: Modules 4.1, 4.2
Some quick instructions:
- You must complete the quiz by the start of class on Sept. 24, 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:
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.
IBM is also working to minimize AI bias.
The IBM site on Trusted AI is here and here’s the recap.
In-Class Exercise 3.1: Trusting Data
Here is the exercise
Reading Quiz #2: Complete by Sept. 17 at 5:30 p.m.
Some quick instructions:
- You must complete the quiz by the start of class on Sept. 17, 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.
Your reading list for week 3
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