ELC 015: Don't Fear The Data Sharebar Podcast: Play in new window | Download Subscribe in iTunes Collecting, analyzing and using big data has become embedded in how governments, corporations and institutions work. It’s now an expected, though often resented, part of our culture. In this episode, I interview Ellen Wagner Ph.D., who helps us understand big data and how it can be leveraged to improve learning and development as well as higher education. Ellen is Partner and Senior Analyst for Sage Road Solutions. What big data is and isn’tWhy the learning industry should be paying attention to big dataDecisions we can we make with big dataProblems we can preventUsing data to get follow and get ahead of the trendsWhy we push back on measurement and evaluation of our workThe benefits of being (partially) data drivenPatterns that people are finding in learning analyticsHow to cooperate and share de-identified dataDifference between inferential and predictive statisticsExperience API TIME: 30 minutes
Small Pond Science | Research in a teaching institution Top Predictive Analytics Programs - Predictive Analytics Today | Predictive Analytics Today Top Predictive Analytics Programs 5.00/5 (100.00%) 2 ratings Top Predictive Analytics Programs : Many universities are now offering new masters and other programs in predictive analytics to fill the resource requirements in Predictive Analytics . These programs provides training both in management and data analytics. The list also contains data analytics programs. 1.DePaul University, Master of Science in Predictive Analytics DePaul University, Master of Science in Predictive Analytics is a top predictive analytics programs. DePaul University, Master of Science in Predictive Analytics 2.Northwestern University, Master of Science in Predictive Analytics Online Northwestern University, Master of Science in Predictive Analytics (MSPA) is a fully online top predictive analytics program. Northwestern University, Master of Science in Predictive Analytics 3.Louisiana State University, Master of Science in Analytics Louisiana State University, Master of Science in Analytics
Big Data Timeline Interesting interactive timeline featuring a number of "big data" milestones since 1932. There's way too much emphasis on BI, ERP and SAP, but still, it contains lots of interesting history when you filter out these references. Big data, back in 1940 Here are some highlights: July 1997 - The Problem of Big Data. Check the presentation. Other links
The Tree of Life Will students fork over $60K for UC Berkeley’s new online master’s degree in data science? Big data is becoming a big opportunity for higher education. As we’ve reported before, more universities are trying to meet industry’s growing appetite for data scientists with new master’s programs in the field. But on Wednesday, the University of California at Berkeley will announce that it is launching a data science master’s degree that, for the time being at least, will only be online. Powered by 2U, an education technology company that enables top universities to offer full-price, high-quality degrees virtually, the new degree targets working professionals with a comprehensive program taught by faculty at the university’s School of Information (or I School). 2U, which was founded by serial ed tech entrepreneur John Katzman and is backed by $90 million in venture funding, already partners with seven universities, including Georgetown, the University of North Carolina and American University, for graduate degrees.
Data Science Dictionary We created a data science dictionary in 2012, and we are still adding keywords. It is also in our Wiley book (better English, recent update). Here we share with you another similar dictionary, from BigDataProjects.org. Here are the first few enties, from the Techniques sections (there are two sections: techniques and technologies): A/B testing: A technique in which a control group is compared with a variety of test groups in order to determine what treatments (i.e., changes) will improve a given objective variable, e.g., marketing response rate. Big data enables huge numbers of tests to be executed and analyzed, ensuring that groups are of sufficient size to detect meaningful (i.e., statistically significant) differences between the control and treatment groups When more than one variable is simultaneously manipulated in the treatment, the multivariate generalization of this technique, which applies statistical modeling, is often called “A/B/N” testing. Association rule learning:
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Overview The Tin Can API (sometimes known as the Experience API or xAPI) is a brand new specification for learning technology that makes it possible to collect data about the wide range of experiences a person has (online and offline). This API captures data in a consistent format about a person or group’s activities from many technologies. Very different systems are able to securely communicate by capturing and sharing this stream of activities using Tin Can’s simple vocabulary. Previous specifications were difficult and had limitations (see Tin Can vs SCORM), but the Tin Can API is simple and flexible. It lifts many of the older restrictions. Mobile learning, simulations, virtual worlds, serious games, real-world activities, experiential learning, social learning, offline learning, and collaborative learning are just some of the things that can now be recognized and communicated well with the Tin Can API. It’s important to know that we don’t own the Tin Can API. How does the Tin Can API work?
blog :: Peccoud Lab DNAFactory: A Gene Synthesis Game We present our very first video game! Targeted toward middle- and high-school students, DNAFactory demonstrates the steps a Gene Synthesis factory or laboratory would go through to produce DNA molecules; specifically, when creating a DNA sample, the target sequence is subdivided into shorter DNA fragments called oligos, which can be synthesized using a chemical process. […] Developing a culture of security for synthetic biology I was recently interviewed by Andrew Snyder-Beattie from the Future of Humanity Institute. Fostering Transdisciplinary Science with Cyberinfrastructures I want to tell you how cyber-infrastructures can enable large research research projects involving specialists from multiple disciplines and why it makes economic sense to develop such an infrastructure. Chase the dream, not the money: the dirty little secrets of proposal writing Development of Synthetic Flu Vaccines Google DNA Map I owe to Mary Mangan from OpenHelix this gem.