This NYT article on how Google researched teams and their effectiveness is worth a read.

Here is the study guide for the second exam. Nathan will hold exam review at 8:30 am – 10:00 am on Friday (03/31/2017) at Breakout room Alter 236C

Data integration

GOP Analytics

Dashboard best practices

The One Skill You Really Need

An interesting read on how Foursquare is building its dashboards and analytics out for retail. Worth checking out.

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.

NYC Cab Viz

Telling story with Data

Cool infographics Chapter 1 and Chapter 6

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.

http://www.pewinternet.org/2017/02/08/code-dependent-pros-and-cons-of-the-algorithm-age/

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)