Eric Bradford, a Teaching Assistant for MIT xPRO’s online data science course, Data Science and Big Data Analytics: Making Data-Driven Decisions, tells learners what to expect from this seven-week online course.

In 2014, a 40% price drop brought more to the oil and gas industry than just lower profits. For one company, Royal Dutch Shell (Shell), it ushered in a comprehensive shift in thinking about the development approach for new capital projects and technology. In 2016, Shell included MIT in its efficiency improvement and energy transition plans by enrolling its first cohort of engineers in MIT xPRO’s four-course program, Architecture and Systems Engineering: Models and Methods to Manage Complex Systems.

Launching a startup can be a risky and stressful endeavor. Today, only 56% of businesses started in 2014 have made it to their five-year anniversary. MIT Professor Lawrence Susskind, founder of the Harvard-MIT-Tufts Program on Negotiation, believes that mastering negotiation is a crucial element for professionals in both entrepreneurial, and non-startup environments.

Applying data-driven decision-making is a must for professionals in every industry. But for an organization to fully benefit from big data analytics, teams must be given opportunities to learn the latest and most effective data science techniques.

IBM Watson AI Lab and MIT xPRO Collaborate to Support Lifelong Learners IBM Watson AI Lab has collaborated with MIT xPRO to develop an online quantum computing curriculum intended for professionals and leaders in business, government, and technology interested in the theoretical and practical aspects of quantum computing (QC).

The IBM Q Experience makes the world of quantum computing explorable and hands-on. Anyone seeking to learn QC can access IBM Q to create and run algorithms on real quantum computing hardware. While books and lectures have traditionally supported learning, offering people a way to get practical experience “by doing” helps too.