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Data Mining and Data Visualization – Tools to Allow Students to do BIG STUFF with BIG DATA - Course Technology Computing Conference
Presenter: Dan Matthews, Trine University
At first, when beginners hear the term “data mining” they wonder, “What kind of mining could a computer possibly do? It must be awfully hard. What would the end product of data mining look like?”. Data mining (analytics) is becoming a core skill for an unprecedented number of professions. There exist software environment that help make the process efficient for the data miner. Tableau is one of the systems I use in my data mining class to teach students data mining. The software helps accelerate the process of converting data to not just information but to knowledge with intuitive drag & drop technology that lets you stop worrying about how to connect to data and lets you spend your time answering questions and forming relationships (knowledge) using critical thinking and creative association. With Tableau's speed and ease of use, students find themselves doing more complex analyses in less time. Tableau has an academic program that gives professional-grade analytics software in the form of Tableau Desktop to full-time students to help prepare them for working in an increasingly data-driven world. Students use Tableau Desktop for class work and extracurricular projects. Tableau offers instructors free access to Tableau Desktop as well to equip them to teach the next generation of data scientists (miners) and analysts. In addition to software, Tableau recognizes that materials and support are essential to teaching with a tool, and to that end they offer a variety of solutions for different classrooms. Dozens of universities are using Tableau in Data Mining classes. I want to share how I use the resources available to me to do quality instruction in this very important new technology discipline. I will define data mining (as best as I can). I will discuss why the subject is so very important. I will discuss a variety of applications. And most of all I will demonstrate some fun things students can do with the mining of the big data sets available in the cloud.