Performance indicators

Tyranny of success: Non profits and metrics

Tracking health

Wearable tech

Damn Excel (amen to that)

Data credibility

Data corruption tricks

Clean data top 10

Here is the study guide for the first midterm exam. Here is also a more detailed version based on notes from class.

NYC Cab Viz

Telling story with Data

Cool infographics Chapter 1 and Chapter 6

Session 4.1:

• Chapter 2: Good Graphics? Handbook of Data Visualization (Unwin—-pages 57-77)

Session 4.2:

• Stephen Few on Data Visualization: 8 Core Principles (Hoven)
• Watch out, Terrorists: Big Data is on the Case (Acohido)

Here is the website I showed you in class today.  Take a look and make your own correlations!

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.

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

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.

• Bias in big data
• In data we trust
• Filter bubble