A 10-Course Introduction to Data Science from Johns Hopkins

Data is now everywhere. And those who can harness data effectively stand poised to innovate and make impactful decisions. This holds true in business, medicine, healthcare, education and other spheres of life.

Enter the 10-course Introduction to Data Science from Johns Hopkins. Offered on the Coursera platform, this course sequence covers “the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results.” The program includes courses covering The Data Scientist’s Toolbox, R Programming, Getting and Cleaning Data, Developing Data Products and more. There’s also a Capstone Project where students can build a data product using real-world data.

Students can formally enroll in the Introduction to Data Science specialization and receive a certificate for each course they complete–a certificate they can share with prospective employers and their professional networks. They’ll also leave with a portfolio demonstrating mastery of the material covered in the sequence. Hopkins estimates that most learners can complete the sequence in 3-7 months, during which time students will be charged $49 per month.

Alternatively, students can audit individual courses for free. When you enroll in a course, look carefully for the Audit option. Note: Auditors cannot receive a certificate for each completed course.

If would like to formally enroll in the Introduction to Data Science sequence, you can start a 7-Day Free Trial and size things up here.

Open Culture has a partnership with Coursera. If readers enroll in certain Coursera courses and programs, it helps support Open Culture.

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Open Culture was founded by Dan Colman.