Johns Hopkins University

Description Epidemiology is often described as the cornerstone science in public health. Epidemiology in public health practice uses study design and analyses to identify causes in an outbreak situation, guides interventions to improve population health, and evaluates programs and policies. In this course, we’ll define the role of the professional epidemiologist as it relates to…

Description Welcome to Understanding Prostate Cancer. My name is Ken Pienta, Professor of Urology and Oncology at the Johns Hopkins School of Medicine. I have been studying prostate cancer and treating patients with prostate cancer for over 25 years. Over 1,000,000 men worldwide and 230,000 men in the United States are diagnosed with prostate cancer…

Description A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or inference. This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the…

Description This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover…

Description This capstone course in the Health Informatics Specialization will allow learners to create a comprehensive plan for an informatics intervention of their choosing, and that will demonstrate to current or future employers the new skills obtained through the completion of this series of five courses in Health Informatics. Price: Enroll For Free! View Class…

Description For clinical data science to be effective in healthcare—to achieve the outcomes desired—it must translate into decision support of some sort, either at the patient, clinician, or manager level. By the end of this course, students will be able to articulate the need for an intervention, to right size it, to choose the appropriate…

Description Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University. Price: Enroll For Free! View Class Language: English Subtitles: English Command Line Tools for Genomic Data Science – Johns…

Description This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team…

Description Welcome to our course on Understanding and Strengthening Health Systems for Global Health. During the course we will provide you with an overview of the main elements or building blocks of a health system based on the World Health Organization’s guidance. You will have the opportunity to explore four main areas of health systems…

Description We will learn computational methods — algorithms and data structures — for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets. Price: Enroll For Free!…