{"id":49927,"date":"2015-04-20T15:47:05","date_gmt":"2015-04-20T19:47:05","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=49927"},"modified":"2015-04-20T16:09:25","modified_gmt":"2015-04-20T20:09:25","slug":"13-new-trends-in-big-data-and-data-science-nyus-new-data-science-certificate-other-related-items","status":"publish","type":"post","link":"http:\/\/danielschristian.com\/learning-ecosystems\/2015\/04\/20\/13-new-trends-in-big-data-and-data-science-nyus-new-data-science-certificate-other-related-items\/","title":{"rendered":"&#8220;13 new trends in Big Data and Data Science&#8221; + NYU&#8217;s new Data Science Certificate + other related items"},"content":{"rendered":"<p><a href=\"http:\/\/www.bigdatanews.com\/profiles\/blogs\/13-new-trends-in-big-data-and-data-science\" target=\"_blank\"><strong>13 new trends in Big Data and Data Science<\/strong> <\/a>&#8212; from bigdatanews.com by Mike Beneth<\/p>\n<p><em>Excerpt:<\/em><\/p>\n<ol>\n<li>The rise of data plumbing, to make big data run smoothly, safely, reliably, and fast through all &#8220;data pipes&#8221; (Internet, Intranet, in-memory, local servers, cloud, Hadoop clusters etc.), optimizing redundancy, load balance, data caching, data storage, data compression, signal extraction, data summarization and more. We bought the domain name DataPlumbing.com last week.<\/li>\n<li>The rise of the data plumber, system architect, and system analyst (a new breed of engineers and data scientists), a direct result of the rise of data plumbing<\/li>\n<li>Use of data science in unusual fields such as astrophysics, and the other way around (data science integrating techniques from these fields)<\/li>\n<li>The death of the fake data scientist.<br \/>\n&#8230;<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<p><strong><a href=\"www.prnewswire.com\/news-releases\/top-online-engineering-school-responds-to-industry-appetite-for-data-science-energy-and-cloud-expertise-300067196.html?\" target=\"_blank\">Top online engineering school responds to industry appetite for data science, energy, and cloud expertise<\/a> <\/strong>&#8212; from prnewswire.com<br \/>\n<em>NYU School of Engineering&#8217;s 3-course immersion offerings bridge technology skills gap <\/em><\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 30px;\"><span class=\"xn-location\">NEW YORK<\/span>, <span class=\"xn-chron\">April 16, 2015<\/span> \/PRNewswire-USNewswire\/ &#8212; Fortune 500 companies looking to move the talent needle forward are now able to send employees through online certificate courses in data science, power engineering, and data center and cloud technologies. The NYU Polytechnic School of Engineering&#8217;s online learning unit has launched certificates of completion in these new three-course immersion programs.<\/p>\n<p style=\"padding-left: 30px;\">The new <a href=\"http:\/\/engineering.nyu.edu\/enterprise-learning\/programs\/data-science\" target=\"_blank\" rel=\"nofollow\">Data Science certificate<\/a> includes three courses in big data analysis, machine learning, and principles of database systems, with substitutions allowed for visualization or cloud computing courses. &#8220;Organizations are drowning in data but starving for insights,&#8221; said Professor <span class=\"xn-person\">Nasir Memon<\/span>, chair of the Computer Science and Engineering Department. &#8220;The Data Science certificate provides coursework immediately applicable to data scientists working on complex data problems.&#8221;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<blockquote class=\"twitter-tweet\" lang=\"en\"><p>Becoming a <a href=\"https:\/\/twitter.com\/hashtag\/DataScientist?src=hash\">#DataScientist<\/a> with style! <a href=\"http:\/\/t.co\/UXHJeVn1Zp\">http:\/\/t.co\/UXHJeVn1Zp<\/a> <a href=\"https:\/\/twitter.com\/hashtag\/BigData?src=hash\">#BigData<\/a> <a href=\"https:\/\/twitter.com\/hashtag\/DataViz?src=hash\">#DataViz<\/a> <a href=\"https:\/\/twitter.com\/hashtag\/MachineLearning?src=hash\">#MachineLearning<\/a> <a href=\"https:\/\/twitter.com\/hashtag\/AI?src=hash\">#AI<\/a> <a href=\"https:\/\/twitter.com\/hashtag\/IoT?src=hash\">#IoT<\/a> <a href=\"https:\/\/twitter.com\/hashtag\/DataScience?src=hash\">#DataScience<\/a> <a href=\"http:\/\/t.co\/vn9mMGv7e6\">pic.twitter.com\/vn9mMGv7e6<\/a><\/p>\n<p>\u2014 Ekimetrics. (@ekimetrics) <a href=\"https:\/\/twitter.com\/ekimetrics\/status\/589018285594771457\">April 17, 2015<\/a><\/p><\/blockquote>\n<p><script src=\"\/\/platform.twitter.com\/widgets.js\" async=\"\" charset=\"utf-8\"><\/script>\u00a0 \u00a0 \u00a0<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<blockquote class=\"twitter-tweet\" lang=\"en\"><p>\nTop LinkedIn groups in <a href=\"https:\/\/twitter.com\/hashtag\/Analytics?src=hash\">#Analytics<\/a>, <a href=\"https:\/\/twitter.com\/hashtag\/BigData?src=hash\">#BigData<\/a>, <a href=\"https:\/\/twitter.com\/hashtag\/DataMining?src=hash\">#DataMining<\/a>, <a href=\"https:\/\/twitter.com\/hashtag\/DataScience?src=hash\">#DataScience<\/a> from &#8220;Big Bang&#8221; to now <a href=\"http:\/\/t.co\/jCbG4hIvPA\">http:\/\/t.co\/jCbG4hIvPA<\/a> <a href=\"http:\/\/t.co\/Vvj5oc8NLm\">pic.twitter.com\/Vvj5oc8NLm<\/a> \u2014 Gregory Piatetsky (@kdnuggets) <a href=\"https:\/\/twitter.com\/kdnuggets\/status\/590167542917943296\">April 20, 2015<\/a>\n<\/p><\/blockquote>\n<p><script src=\"\/\/platform.twitter.com\/widgets.js\" async=\"\" charset=\"utf-8\"><\/script><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/www.forbes.com\/sites\/danielnewman\/2015\/03\/18\/for-marketers-every-tech-trend-hinges-on-big-data-and-analytics\/\" target=\"_blank\"><strong>For marketers every tech trend hinges on big data and analytics<\/strong> <\/a>&#8212; from forbes.com by Daniel Newman<\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 30px;\">But as we talk incessantly about new technologies, we may overlook the fact that it isn\u2019t really technology that\u2019s driving this revolution, but the data and the insights these technologies create. With this data we are able to better understand what interests people and motivates them to engage with a brand and buy their products, and we can also <a class=\"exit_trigger_set\" title=\"Big Data ROI: Making Better Decisions That Drive Community, Retention And Revenue\" href=\"http:\/\/www.forbes.com\/sites\/danielnewman\/2014\/07\/01\/big-data-roi-making-better-decisions-that-drive-community-retention-and-revenue\/\" target=\"_blank\">use this data to innovate products<\/a> that are a perfect fit for our target audience. Let\u2019s discuss how data and analytics underlie the true value of the technology we are so obsessed with.<\/p>\n<p style=\"padding-left: 30px;\">&#8230;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>13 new trends in Big Data and Data Science &#8212; from bigdatanews.com by Mike Beneth Excerpt: The rise of data plumbing, to make big data run smoothly, safely, reliably, and fast through all &#8220;data pipes&#8221; (Internet, Intranet, in-memory, local servers, cloud, Hadoop clusters etc.), optimizing redundancy, load balance, data caching, data storage, data compression, signal [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[435,112,324,298,3,64,299],"tags":[],"class_list":["post-49927","post","type-post","status-publish","format-standard","hentry","category-analytics","category-corporate-business-world","category-curriculum","category-data-related-items","category-higher-education","category-it-in-he","category-workplace"],"_links":{"self":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/49927","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/comments?post=49927"}],"version-history":[{"count":10,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/49927\/revisions"}],"predecessor-version":[{"id":49939,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/49927\/revisions\/49939"}],"wp:attachment":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/media?parent=49927"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/categories?post=49927"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/tags?post=49927"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}