[unable to retrieve full-text content]KDD-2018 invites submission of papers describing innovative research on all aspects of data science, and of applied papers describing designs and implementations for practical tasks in data science. Submissions due Feb 11.
Original Post: KDD 2018 Call for Research, Applied Data Science Papers
[unable to retrieve full-text content]Whether you need a career boost or are looking to train employees, our flexible Data Analytics and Visualization program will help train effective, nimble leaders in data analytics.
Original Post: MS in Data Analytics and Visualization, Online or NYC
[unable to retrieve full-text content]This workshop will bring together experts in bio-acoustics with mathematicians and computer scientists with expertise in classification, clustering, and information theory to develop a unified approach. Apply by March 5.
Original Post: Bio-acoustic Structure, a NIMBioS Investigative Workshop, needs Data Scientists – Call for Applications
[unable to retrieve full-text content]Data science can help find the optimal locations for drug treatment facilities, even in the face of major data challenges.
Original Post: Data Science vs Addiction: Estimating Opioid Abuse by Location
[unable to retrieve full-text content]As a data scientist — or someone interested in the field — you know the industry is constantly evolving. If you want to remain competitive, you need to keep up with popular trends.
Original Post: 5 Key Data Science Job Market Trends
[unable to retrieve full-text content]We discuss 3Vs of Big Data; Infonomics and many aspects of monetizing information including promising analytics methods, successful companies, main challenges; Information marketplaces and why data ownership concept is misguided, and more.
Original Post: Exclusive Interview: Doug Laney on Big Data and Infonomics
[unable to retrieve full-text content]Curious about the future of Big Data and AI? Here’s what the trends have it in 2018 for innovations.
Original Post: Four Big Data Trends for 2018
[unable to retrieve full-text content]Data Engineering: The Close Cousin of Data Science.
Original Post: A Beginner’s Guide to Data Engineering – Part I
[unable to retrieve full-text content]This live online training is geared towards one single goal – to prepare developers and operations specialists who need to interact with GraphDB in their daily routine. For a limited time get 20% Early Bird discount.
Original Post: GraphDB for DevOps – Live Online training from Ontotext
[unable to retrieve full-text content]In order for a data scientist to grow, they need to be challenged beyond the technical aspects of their jobs. They need to question their data sources, be concise in their insights, know their business and help guide their leaders.
Original Post: How To Grow As A Data Scientist