Our friends over at Boston University’s Master of Science in Computer Information Systems Online Program put together the compelling infographic below that highlights why Business Intelligence (BI) is the key to competitive advantage for enterprises today.
The video presentation below captures the highlights of the all-day data-driven storytelling event produced by DataScience, Inc. and the National Science Foundation (NSF)’s West Big Data Innovation Hub.
Qlik® (NASDAQ: QLIK), a leader in visual analytics, today announced the expansion of the Qlik Academic Program with its new Data Analytics Curriculum.
The compelling infographic below from our friends at NJIT shows just how much big data matters, and that there’s no question that the current trends moving into the future suggest that this will only continue.
In this book review, I take a close look at the 5th edition of “Introduction to Linear Algebra” (Wellesley-Cambridge Press) by MIT mathematics professor Gilbert Strang. This book is a must-have for any serious data scientist.
In this special guest feature, PK Agarwal, Regional Dean and CEO at Northeastern University-Silicon Valley, discusses the need to train new data scientists, and the value of continuing education for those already employed in the field.
In this contributed article by Christian Hasker, Director of DataStax Academy at DataStax, we’ll take a look at how to commoditize big data skills over time and enable CIOs to retrain their staff at a much lower cost, ensuring that the lack of skills in the market doesn’t continue to be a cost inhibitor to adopting big data technologies.
MapR Announces Free Stream Processing On-Demand Training for Real-time Analytics and IoT Applications
MapR Technologies, Inc., provider of the Converged Data Platform, announced at Kafka Summit 2016 it is now offering stream processing training via MapR Academy’s free On-Demand Training program. The new training enables Apache Kafka developers to extend their real-time analytics and Internet of Things (IoT) applications.
A new book, “ Why: A Guide to Finding and Using Causes ,” by Stevens Institute of Technology assistant professor of computer science Samantha Kleinberg is a necessary addition to any data scientist’s bookshelf as it helps bring focus to the dreaded “correlation does not imply causation” conundrum that affects our understanding of data-centric problems.
Coursera, a leading online education company known for massive open online courses (MOOCs), today announced a professional data science master’s degree from the University of Illinois at Urbana-Champaign.