Johns Hopkins University

Description Preventable patient harms, including medical errors and healthcare-associated complications, are a global public health threat. Moreover, patients frequently do not receive treatments and interventions known to improve their outcomes. These shortcomings typically result not from individual clinicians’ mistakes, but from systemic problems — communication breakdowns, poor teamwork, and poorly designed care processes, to name…

Description 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…

Description R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians. 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…

Description This Specialization is intended for health professionals, administrators, health IT staff, vendors, startups, and patients who need or want to participate in the health IT/informatics process. Throughout the five courses of this Specialization, you will learn about the social and technical context of health informatics problems, how to successfully implement health informatics interventions, how…

Description This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related…

Description With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome. This Specialization covers the concepts and tools to…

Description Build models, make inferences, and deliver interactive data products. This specialization continues and develops on the material from the Data Science: Foundations using R specialization. It covers statistical inference, regression models, machine learning, and the development of data products. In the Capstone Project, you’ll apply the skills learned by building a data product using…

Description Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects. 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…

Description This specialization is intended for people working or aspiring to work in global health programming. You will learn the foundational building blocks of effective program planning, implementation, and evaluation in a variety of settings, including low- and middle-income countries and humanitarian crises. Price: Enroll For Free! View Class Language: Subtitles: English Foundations of Global…

Description This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you’ll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect…