The Johns Hopkins Data Science Specialization is a 10-course Coursera program taught entirely in R, and you take it at coursera.org. You can audit each course for free to get the video lectures and readings. The graded quizzes, the capstone, and the certificate need a Coursera subscription or per-course payment, with financial aid available. Johns Hopkins hosts it only on Coursera, so there is no free mirror elsewhere. We are not in Coursera's affiliate program, so nothing here earns us money. One honest note: the material is older and R-first, so if you want a Python path, look at Google's or IBM's certificates instead. Audit it free for the statistics grounding, or pay for the graded track and the credential.
The specialization spans 10 courses including a capstone, and Coursera estimates about 11 months at 7 hours a week (source: coursera.org/specializations/jhu-data-science).
About This Course
Johns Hopkins's flagship 10-course Data Science Specialization on Coursera, taught entirely in R. Covers the R toolchain, statistical inference, regression, machine learning, and a capstone project. Free to audit; certificate costs money.
Course Details
Frequently Asked Questions
Is the Johns Hopkins Data Science Specialization free?
You can audit all 10 courses free. The graded work, the capstone, and the certificate require payment or Coursera financial aid.
Is it taught in Python or R?
R, start to finish. That sets it apart from Python-first programs like Google's or IBM's data certificates.
What does it cover?
The R toolchain, data cleaning, exploratory analysis, statistical inference, regression, machine learning, and a capstone project.
Is the material outdated?
Parts of it are older, but the statistics and R foundations still hold up. Check each course's update date if that matters to you.
Do you get paid if I enroll?
No. We hold no Coursera affiliate account, so we earn nothing either way. Our honest read is above: audit it for the statistics grounding, and look elsewhere if you want Python.
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freeCodeCamp's 2-hour R tutorial with Barton Poulson of datalab.cc. A hands-on overview of the statistical programming language R — syntax, data types, vectors, data frames, and statistical analysis. Free on YouTube.