Course Spotlight: Data Science Specialization

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Course Spotlight Series: The Data Science Specialization starts on June 1, led by Professor Roger Peng, Brian Caffo, and Jeff Leek of Johns Hopkins Bloomberg School of Public Health. This article, based on an interview with the instructor, was written by Charlie Chung of Class Central.

With technology an integral part of our lives, we are generating data at an astounding rate: hundreds of terabytes of data are posted on Facebook each day and a Boeing 787 airplane is said to generate half a terabyte of data per flight. Data science is becoming relevant to many different jobs, and ‘Data scientist’ has been been called the sexiest job of the 21st Century. So how do you become one?

A great way is by taking the Data Science Specialization, consisting of nine four-week courses, and a capstone course. In addition to a solid understanding of the fundamentals, it is focused on real-world practice, using real tools on real data, and results in tangible data products that can be seen by others.

Prof. Peng describes the sequence of topics in the Specialization in this video:


The Capstone course is an applied project that you work on from beginning to end, using a publicly available data set. The instructors partnered with popular app developer SwiftKey to help design the capstone project, so that you know you are practicing skills that are relevant in the workplace (other partnerships are also being planned). Through this Specialization, you will learn to use a variety of tools and have tangible results that you can put online, including your analysis code, documentation, and data products. Prof. Peng believes that this is a great way to demonstrate your skills to potential employers:

“One of the best ways for companies to find the right people is to see what they’ve done and see how they work. The outputs from this Specialization allows them to see this kind of statistical and data science thinking.”​

Read the full version of this article on Class Central’s blog.


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