For links that take you to the Temple library, search for the article title using Summon.
MODULE 1
Session 1.2: January 14
- Data Science and Prediction (Dhar) (This link will take you to the library page. Type in the title and view the PDF for the article)
- Three Science Words We Should Stop Using (Allain)
Session 2.1: January 28
- I’m Beating the NSA to the Punch by Spying on Myself (Stein)
- What the NSA Wants to Know About Your Phone Calls (Di Justo)
- The Ashley Madison Hack Is Only the Beginning (Aguilar)
Session 2.2:
- What the Fox Knows (Silver)
- Open Data (Wikipedia)
- In Search of America’s Best Burrito (Silver)
Session 3.1: Feb. 4
- Bubble Trouble: Is Web Personalization Turning Us into Solipsistic Twits? (Weisberg)
- The Hidden Biases in Big Data (Crawford)
- In Data We Trust (Hayes)
MODULE 2
Session 4.1: Feb. 11
- 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)
Session 5.1: February 18
- Telling a Story with Data (Davenport)
- Visualizing a Day in the Life of a New York City Cab (Matlin)
Session 5.2:
- Chapter 1: The Science of Infographics. Cool Infographics (Krum)
- Chapter 6: Designing Infographics. Cool Infographics (Krum)
MODULE 3
Session 7.1: March 11
- Data’s Credibility Problem (Redman)
- Damn Excel! How the ‘Most Important Software Application of All Time’ is Ruining the World (Gandel)
Session 7.2:
- Stupid Data Corruption Tricks (Taber)
- Top Ten Ways to Clean Your Data (Microsoft)
Session 8.1: March 18
- Performance Indicator (Wikipedia)
- The Tyranny of Success: Nonprofits and Metrics (Schambra)
Session 8.2:
Session 9.1: March 25
- How Data Integration Works (Strickland)
- The GOP Arms Itself for the Next “War” in the Analytics Arms Race (Gallagher)
Session 9.2:
- Best Practices for Designing Views and Dashboards (Tableau)
- The One Skill You Really Need for Data Analysis (Farmer)
MODULE 4
Session 11.1: April 8
- Knowing Just Enough about Relational Databases (Rosenblum and Dorsey)
- How To Explain Hadoop to Non-Geeks (Bertolucci)
Session 11.2:
- How to Structure Source Data for Excel Pivot Tables & Unpivot (Acampora) NOTE: Use firefox or Chrome to open.
Session 12.1: April 15
- Unstructured Data in a Big Data Environment (Hurwitz et al.)
- Techniques and Applications for Sentiment Analysis (Feldman)
Session 12.2:
Session 13.1: April 22
- What Analytics Can Teach Us About the Beautiful Game (Paine)
- Big Data Analytics: Descriptive vs. Predictive vs. Prescriptive (Bertolucci)
Session 13.2:
- They’re Watching You at Work (Peck)