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
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.
Career Opportunities - Crimson Hexagon You will report to and work with the Sr. Director of Business Development and possess a hunter’s mentality, have an energetic personality and understand it takes a team to win. You are a self-driven and motivated individual who wants to expand your career with a fast-growing software company. Download You will report to and work with the Director of Sales and possess a hunter’s mentality, have an energetic personality and understand it takes a team to win. View Open Position Details
Senior Adapter Development Engineer | StreamBase Senior Adapter Development Engineer StreamBase is the leading Complex Event Processing (CEP) platform, used by developers building the most demanding data processing systems in the world. StreamBase enables rapid development of high-performance flexible applications, meeting the needs of the most demanding customers in financial services, federal intelligence, e-commerce, and telecommunications. We are looking for an exceptional server-side developer to join our team to design and implement adapters, which move high-speed data into and out of the CEP engine. Responsibilities Required Skills and Experience Java server-side programming.Experience working with Java and/or C++ APIs and client libraries.Experience developing high-performance system software, with focus on latency and throughput performance tuning, connection scalability, and reliability.BS in Computer Science and/or related work experience. Bonus Skills and Experience Location of PositionLexington, Massachusetts StatusFull-time
Big data: Who's using it to solve healthcare problems? “Big data” won’t do much to improve healthcare without big analytics. Thanks in part to billions in federal subsidies for electronic medical records (EMRs), it won’t be long before the U.S. is awash in vast, almost incomprehensible amounts of health data. It follows that developing the analytics to draw meaningful conclusions out of those mountains of data will become an increasingly important — and lucrative — area for companies in the health IT industry. “Leaders in every sector will have to grapple with the implications of big data,” stated a report earlier this year from McKinsey, which noted that the U.S. healthcare sector could create more than $300 billion in value every year if it were to “use big data creatively and effectively to drive efficiency and quality.” Loosely speaking, big data can refer to anything involving voluminous sets of data. Here’s a quick look at five companies leveraging big data — and big analytics — to solve medical problems. Copyright 2014 MedCity News.
10 hot big data startups to watch this year [Here's the update for 2013] Everybody knows Cloudera, MapR, Splunk, 10Gen and Hortonworks. But what about Platfora or Hadapt? These 10 startups are my bet on which big data companies will probably be game-changers in 2012: Platfora aims at providing a “revolutionary BI and analytics platform that democratizes and simplifies the use of big data and Hadoop”. Valley based SumoLogic tackles one of the central big data problems: log file analysis. Hadapt is one of the few big data companies from the east-coast. Continuuity is currently in stealth-mode, but the impressive names – Andreessen Horowitz, Battery and Ignitions – behind the first funding round of $2.5M sound very promising. Kontagent is a bit older and already offers a product. Domo claims to provide a new form of business intelligence providing an SaaS executive management dashboard accessible by all kinds of devices. Odiago should also be considered a hot startup.
42 Big Data Startups Here is a selection of most interesting Big Data start-ups to watch. Jeff Vance at Startup 50 has collected an interesting list of 42 Big Data Startup, and is collecting votes for his story "10 Big Data Startups to Watch". Here are some of the startups, with more relevance to Analytics, Data Mining, and Data Science: You can also get more information on Big Data investments at SiSense Crunchbase dashboard. Here are the selected start-ups: SiSense: Big Data analytics and BI platform, Redwood Shores, CA and Israel.Skytree: machine-learning-based platforms for Big Data analytics, Atlanta, GA.Splice Machine: a Hadoop-based, SQL-compliant database designed for Big Data applications, San Francisco, CA.Statwing: tools that make it easy for anyone to use the same statistical analysis tools that data scientists and statisticians use, San Francisco, CA.SumAll: an analytics tool that helps businesses make more money by using their own data. Here is Jeff Vance full list of 42 Big Data startups.
42 Big Data Startups – Vote for the Top 10 : Startup 50 Update: The roundup of the 10 finalists is now available on CIO.com. The Big Data space is heating up, and unlike some over-hyped trends (cloud, I’m looking at you), it’s pretty easy to pinpoint the ROI with these tools. When I put out calls for nominees through my Story Source Newsletter, HARO, Twitter, etc., for my upcoming CIO.com story, “10 Big Data Startups to Watch,” I received more than 100 recommendations. Usually, when I get that many recommendations, a good chunk of them can be dismissed out of hand. Some are clearly science projects; others have zero funding, no management pedigree and a dubious value proposition, and a few are clearly the products of fevered malarial hallucinations. Not so this time. I’m after those Goldilocks startups. Now comes the hard work. There is one big wrinkle to the voting this time around: this list of 42 isn’t locked. I’m going to leave the voting open for a week or so. Voting closes Monday, June 3 at 5 PM PT. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 12. 12.