Johns Hopkins University

Description This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional programming in R, robust error handling, object oriented programming, profiling and benchmarking, debugging, and proper design of functions. Upon completing this course you will be able to identify and abstract…

Description This course is an introduction to the multiple ways our changing climate affects global population health, and to promising policy and practice responses. More intense storms, heatwaves, and rising seas mean many, particularly the most vulnerable, now face growing risks of weather-related injury, illness, mental stress and even death. Because people care deeply about…

Description In this culminating course in the Patient Safety and Quality Improvement Specialization, you will apply the skills you have acquired across the previous six courses to address a realistic patient safety issue confronting Mercy Grace, a 500-bed urban hospital that is part of a larger hospital system. Based on the scenario provided, you will…

Description Learn to provide psychological first aid to people in an emergency by employing the RAPID model: Reflective listening, Assessment of needs, Prioritization, Intervention, and Disposition. Utilizing the RAPID model (Reflective listening, Assessment of needs, Prioritization, Intervention, and Disposition), this specialized course provides perspectives on injuries and trauma that are beyond those physical in nature.…

Description By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including…

Description In this course, you will be able develop a systems view for patient safety and quality improvement in healthcare. By then end of this course, you will be able to: 1) Describe a minimum of four key events in the history of patient safety and quality improvement, 2) define the key characteristics of high…

Description Health professionals and students, family caregivers, friends of and affected individuals, and others interested in learning about dementia and quality care will benefit from completing the course. Led by Drs. Nancy Hodgson and Laura Gitlin, participants will acquire foundational knowledge in the care of persons with Alzheimer’s Disease and other neurocognitive disorders. Price: Enroll…

Description Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: – A basic understanding of linear algebra and multivariate calculus. – A basic understanding of…

Description An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University. Price: Enroll For Free! View Class Language: English Subtitles: English Statistics for Genomic Data Science – Johns Hopkins University

Description This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We’ll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You’ll also get an introduction to the key concepts in…