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Data Literacy: Making Society Fluent in Data

In the age of big data, data science, and AI, there is a broad ranged need for global data literacy. The time is near when national economies will be data-driven. Fortunately, a recent unveiling describes a timely resource to address this need. Qlik and The Data Literacy Project announced that they’ve partnered to launch a certification that lets individuals document and demonstrate their data literacy skills. Developed by leading academics and data literacy specialists at Qlik, this free, 70-question examination tests the ability to read, work with, analyze and argue with data.

The Importance of Predictive Analytics in Higher Education

In this special guest feature, Brian Rowe, founder & CEO of Perceivant, explains how predictive analytics has evolved into a hot button topic among educators in order to better serve students by becoming more data-informed. This is a result of the intense pressure placed on universities to demonstrate an ROI for students as the U.S. dropout rate continues to be at an all-time high.

Imperial College London and Coursera Announce New Online Master’s Degrees in Machine Learning

Imperial College London, a globally ranked top 10 university, today announced an online MSc in Machine Learning on Coursera, a leading online learning platform. This is a new online master’s degrees in machine learning and will help students pursue the most advanced engineering roles in artificial intelligence (AI), data science, machine learning, bioinformatics, and more.

E-Learning and Your Big Data – Effective Analysis

In this contributed article, tech blogger Katrina Hatchett discusses how Big Data can make a sizeable impact in eLearning and it can be used as part of a long term approach for problem solving in the sector. However, competently managing this valuable information will significantly enhance your organization’s ability to provide eLearning effectively.

Dremio Launches Free Online Training Courses for Data Engineers, Analysts, and Data Scientists

Dremio, the Data-as-a-Service Platform company, announced Dremio University, a free online training program for data engineers, analysts, and data scientists. Each Dremio University track is designed to solve today’s data challenges and help maximize the potential of Dremio’s Data-as-a-Service platform.

Ask a TA: Everything You Need to Know About MIT xPRO’s Online Data Science Course

Eric Bradford, a Teaching Assistant for MIT xPRO’s Online Data Science Course, Data Science and Big Data Analytics: Making Data-Driven Decisions, gives his insights into the unique seven-week course. The seven-week course explores the theory and practice behind recommendation engines, regressions, network and graphical modeling, anomaly detection, hypothesis testing, machine learning, and big data analytics. The next online data science course begins Feb. 4, and is currently enrolling.

Using Bayesian Optimization to Tune Machine Learning Models

The presentation below, “Using Bayesian Optimization to Tune Machine Learning Models” by Scott Clark of SigOpt is from MLconf. The talk briefly introduces Bayesian Global Optimization as an efficient way to optimize machine learning model parameters, especially when evaluating different parameters is time-consuming or expensive.

Online Education is Paving a Smoother Path to Earning Data Science Skills

In this contributed article, Devavrat Shah, MIT Professor of Computer Science, highlights how many professionals are seeking rigorous training in data science skill, and want them without having to leave their day job. They need the practicality and flexibility that online learning provides, so the operative question becomes: can MOOCS deliver these skills without compromising quality?

The Data Scientist Shortage is Huge. Here’s How to Beat It.

In this special guest feature, Roberto Reif, Executive Director, Professional Development at Metis, discusses how the worldwide deficit of data scientists is real, but now that you’ve started thinking about your strategy and how you’ll resource the best people to help you execute it, it won’t seem so intimidating. Keep your eyes on the prize — people who can solve your specific problems — and you’ll be able to win the fight against the data scientist shortage.

Interview: Rafael Irizarry, Professor of Biostatistics at Harvard University

I recently caught up with Rafael (Rafa) Irizarry, Professor of Biostatistics with the T.H. Chan School of Public Health at Harvard University to hear his unique perspective as an edX instructor regarding the rising demand for data scientists across most industries.