The Cassandra Prophecies: Do We Really Want To Know? (Data Analytics: Should We Be Saying ‘Thank You’, or ‘I Don’t Like You’ (Part 1)
The Cassandra Prophecies: Do We Really Want To Know? (Data Analytics: Should We Be Saying ‘Thank You’, or ‘I Don’t Like You’ (Part 1) with Dima Protchenko, a software and data engineer, Healthentic, is back as a repeat offender as we’ll be talking TECH and Big Data, specifically, Data Analytics.
- The history of Cassandra the Prophet, our first little data miner, and forecasting
- What is data analytics (we get into Bayesian Probability, the “R” language, and the technical knowledge and skills for data analytics, and demand and salaries in WA State)
- Why the DOL’s Occupational Outlook database needs a major “refresh.”
- Math, statistics, matrices (and, knitting)
- How data trends using social media applications can be uncovered to identify and solve problems
It should be another informative, amusing, and grand finale for a season that was all about “Talking Tech. In Part 2.1 of The Cassandra Prophecies, we look at ethics in Big Data, rate the big data experts predictions for 2016, think about a story problem that includes reliable and unreliable variables in "The Quickest Route," and can a fear of clowns be eliminated by VR? All this and more in Part 2.1.