For links that take you to the Temple library, search for the article title using Summon.
MODULE 1
Session 1.2
- Data Science and Prediction (Dhar) (This link will take you to the library page. Type in the title and search. Then click on articles and ‘advanced article search’-next to search field. In second row, choose author and Dhar and click search at bottom.)
- A Hypothesis Can’t Be Right Unless It Can Be Proven Wrong (Rock)
Session 2.1
- 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)
- Nintendo Hack (CNN)
Session 2.2
- What the Fox Knows (Silver)
- Open Data (Wikipedia)
- In Search of America’s Best Burrito (Silver)
- Why Open Data
Session 3.1
- We’re Trapped in a Social Filter Bubble (Rousseau)
- The Hidden Biases in Big Data (Crawford)
- In Data We Trust (Hayes)
MODULE 2
Session 4.1
- Chapter 2: Good Graphics? Handbook of Data Visualization (Unwin–pages 57-77)
- Stephen Few on Data Visualization: 8 Core Principles (Hoven)
- Watch out, Terrorists: Big Data is on the Case (Acohido)
Session 5.1
- Telling a Story with Data (Davenport)
- Visualizing a Day in the Life of a New York City Cab (Matlin)
Session 5.2
- 5 Ways Writers Use Misleading Graphs to Manipulate You (McCready)
- The Difference Between Infographics and Data Visualization (McCoy)
- What is an Infographic (Yang)
MODULE 3
Session 7.1
- Data’s Credibility Problem (Redman)
- 12 of the Biggest Spreadsheet Fails in History (Soto)
- Five Times Excel Led to Disaster (Moss)
- Guide To Data Cleaning (Tableau)
Session 7.2
- Stupid Data Corruption Tricks (Taber)
- Top Ten Ways to Clean Your Data (Microsoft)
Session 8.1
- Performance Indicator (Wikipedia)
- The Tyranny of Success: Nonprofits and Metrics (Schambra)
Session 8.2
- Latest Trends in Medical Monitoring Devices and Wearable Health Technology (Phaneuf)
- Wearables Could Transform Insurance from Reactive to Proactive
Session 9.1
- How Data Integration Works (Strickland)
- How Companies Like Amazon and Google Turn Data Into a Competitive Advantage and How You Can Too (Goldman)
- Starbucks Isn’t a Coffee Business-It’s a Data Tech Company (Rahman)
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
- 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
- Unstructured Data in a Big Data Environment (Hurwitz et al.)
- Quick Introduction to Sentiment Analysis (Wolff)
- The Essential Guide to Sentiment Analysis (Nguyen)
Session 12.2
Session 13.1
- Why Sports Analytics Matters (Engel)
- Descriptive, Predicative & Prescriptive Analytics: What are the Differences? (UNSW)
Session 13.2
- They’re Watching You at Work (Peck)