Johns Hopkins MOOCs
Over five million learners across 195 countries have taken JHU MOOCs in subjects such as data science, primary care, web development, genomics, clinical trials, functional MRI, biostatistics, psychological first aid, systems science, and machine learning.
Courses and Specializations
Courses — JHU offers more than 50 MOOCs — easily accessible online courses with no admission requirements. More than 65 members of the Johns Hopkins faculty have contributed their expertise to the University's MOOC offerings, which are available via Coursera.
In addition to individual courses on Coursera, Johns Hopkins offers several in-depth, multi-course specializations.
Data Science Specialization — Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization 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. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
Executive Data Science Specialization — In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.
Genomic Data Science Specialization — This specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, Python, R, Bioconductor, and Galaxy. The sequence is a stand alone introduction to genomic data science or a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics.
Mastering Software Development in R Specialization — This Specialization covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations. You will learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers.
For more information about MOOCs at Johns Hopkins, please contact Ira Gooding, Provost's Fellow for Digital Initiatives, at 410-955-9280 or email@example.com.