9. The Data Scientist’s Toolbox – Johns Hopkins University
2015 list: 6
2016 list: 8
User rating: 3.3 out of 5
Social media shares: around 850
Here we have another course on our list of most popular Coursera courses in 2016 for those who like playing with data. Don’t mix it up, the data scientist and data analysts are not the same. Besides curiosity, statistics, and the practice of deriving the insights and stories from data, nothing else bonds them. Engaging in this interdisciplinary field means machine learning, software engineering, and programming. So, learn how to extract knowledge from data with tools such as version control, GitHub, R, markdown, etc. Jeff Leek, Roger D. Peng, and Brian Caffo created this course as an intro to the Coursera’s Data Science Specialization.
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