Cursos de Johns Hopkins University

This course introduces participants from the healthcare sector to gender based violence (GBV), including global epidemiology of GBV; health outcomes; seminal research; and clinical best practices for GBV prevention, support, and management. A core curriculum is supplemented by lectures that contextualize the content with specific examples and programs from around the world. The core curriculum introduces learners to…

The COVID-19 crisis has created an unprecedented need for contact tracing across the country, requiring thousands of people to learn key skills quickly. The job qualifications for contact tracing positions differ throughout the country and the world, with some new positions open to individuals with a high school diploma or equivalent. In this introductory course, students will learn about the science of SARS-CoV-2 ,…

Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organize them to give them the best chance to feel empowered and successful, and how to manage your team as it grows. This is a focused course designed to rapidly get you up to…

We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis. Upon successfully completing this course, participants will be able to: - Describe the steps in conducting a…

The course is intended for students in the biomedical sciences and researchers who use informatics tools in their research and have not had training in reproducibility tools and methods. This course is written for individuals who: - Have some familiarity with R or Python - have written some scripts. - Have not had formal training in computational methods. - Have limited or no familiar with GitHub, Docker, or package…

This is the first course of a three course specialization that introduces the students to the concepts of linear algebra, one of the most important and basic areas of mathematics, with many real-life applications. This foundational material provides both theory and applications for topics in mathematics, engineering and the sciences. The course content focuses on linear equations, matrix methods, analytical geometry…

This Business Analytics course in Excel is the second of a three part series, with the intended audience business professionals, MBA students, advanced undergraduates, and analysts who already understand basic analytics and want to upskill with techniques used in operations, finance, logistics, and strategy.. Upon completing this course, learners will be able to build and solve advanced optimization models in Excel,…

This course will teach learners how to understand when issues can become legal issues, encourage learners to recognize legal problems early, identify possible “legal soft spots” in their own situations, and act when issues are identified to avoid them escalating. This course will also teach and encourage learners to think preventatively and provide some tools to use with an eye toward preventing future legal issues.…

This course is an applications-oriented, investigative approach to the study of the mathematical topics needed for further coursework in single and multivariable calculus. The unifying theme is the study of functions, including polynomial, rational, exponential, logarithmic, and trigonometric functions. An emphasis is placed on using these functions to model and analyze data. Graphing calculators and/or the computer…

This is the third course in the Honors Algebra 2 sequence. By the end of this course, students will be able to analyze, interpret, and apply advanced families of functions, including exponential, logarithmic, radical, and inverse functions. Learners will develop fluency in evaluating and graphing these functions, solving equations that involve them, and applying their properties to real-world models and predictions.…

Dans ce cours, vous apprendrez les techniques traditionnelles et nouvelles de collecte de données au niveau de la population qui peuvent être utilisées pour renforcer les programmes et les politiques de santé publique. Des experts du monde entier définiront et expliqueront les concepts clés de la conception et de la mise en œuvre d’enquêtes basées sur la population, en mettant l’accent sur l’utilisation de nouvelles…

This course will introduce you to the linear regression model, which is a powerful tool that researchers can use to measure the relationship between multiple variables. We’ll begin by exploring the components of a bivariate regression model, which estimates the relationship between an independent and dependent variable. Building on this foundation, we’ll then discuss how to create and interpret a multivariate model,…

All educators will encounter students who struggle with writing. This course first focuses on the reasons student writers may be reluctant and then provides learners with a variety of strategies and practices to help reluctant writers develop a greater comfort and confidence with writing. Learners will examine classroom relationships, mentoring, scaffolding, conferencing, low-risk writing and mini-lessons, all tools…

Build the skills you need to lead teams, influence others, and make high quality decisions. This course is perfect for team leads, project managers, supervisors, and even senior executives. Whether you are stepping into a managerial role or looking to grow as a leader, this specialization gives you practical tools you can use right away. As a manager, success requires engaging the active involvement of others to get…

This specialization equips learners to build, solve, and interpret sophisticated optimization and simulation models using Excel. Through hands-on application of Excel Solver and a wide variety of formulas, students tackle real-world business challenges, from resource allocation and network optimization to nonlinear objectives and competing goals. By the end of the course, you will be prepared to leverage data-driven…

This specialization provides an introduction to topics in single and multivariable calculus, and focuses on using calculus to address questions in the natural and social sciences. Students will learn to use the tools of calculus to process, analyze, and interpret data, and to communicate meaningful results, using scientific computing and mathematical modeling. Topics include functions as models of data, differential…

This Specialization is crafted to take beginners in this field from start to building functional prototypes, home projects, and new creations with custom peripheral hardware and a Raspberry Pi. If you've never touched a Raspberry Pi, it's ok. Course 1 will get you started, and by Course 4 you'll be designing and fabricating printed circuit boards for your own custom add-on hardware to make your projects come to life…

The specialization “Large-Scale Database Systems” is intended for post-graduate students seeking to develop advanced skills in distributed database systems, cloud computing, and machine learning. Through three comprehensive courses, you will dive into key topics such as distributed database architecture, transaction management, concurrency control, query optimization, and data reliability protocols, equipping you to…

The course "Advanced Methods in Machine Learning Applications" delves into sophisticated machine learning techniques, offering learners an in-depth understanding of ensemble learning, regression analysis, unsupervised learning, and reinforcement learning. The course emphasizes practical application, teaching students how to apply advanced techniques to solve complex problems and optimize model performance. Learners…

This course provides a comprehensive overview of drug safety and pharmacovigilance. We start with the fundamentals of pharmacovigilance and regulatory requirements, including phase 4 post-marketing safety studies. We discuss passive and active surveillance methods, exploring key surveillance systems in the US and globally. The course concludes with real-world examples, demonstrating how drug safety research impacts…

Mathematical modeling is an increasingly widespread tool for understanding infectious disease transmission and informing public health decision making. This course provides an in depth overview of the practical uses of mathematical modeling for a range of diseases and scenarios. We cover the basic principles of infectious disease models, how models are adapted to be specific to the disease and question of interest,…

This course provides an introduction to evaluating public health programs at scale. This course focuses on evaluating public health programs and policies in low- and middle-income countries, however, core skills of designing and carrying out an evaluation are applicable to any public health programs and policies. The course will equip you with skills to: 1. Critique an evaluation of an international health program,…

This course continues your study of calculus by focusing on the applications of integration. The applications in this section have many common features. First, each is an example of a quantity that is computed by evaluating a definite integral. Second, the formula for that application is derived from Riemann sums. Rather than measure rates of change as we did with differential calculus, the definite integral allows…

Now that you've been introduced to the world of Health IT and the important role played by electronic health records (EHRs), we'll focus on other technologies that play a role in maintaining ongoing operations in healthcare. Telemedicine, patient portals, barcode scanners, printers, and medical devices are just some of the technologies that impact providers and patients. As an IT support specialist, you’ll be asked…

This course provides an introduction to systems thinking and systems models in public health. Problems in public health and health policy tend to be complex with many actors, institutions and risk factors involved. If an outcome depends on many interacting and adaptive parts and actors the outcome cannot be analyzed or predicted with traditional statistical methods. Systems thinking is a core skill in public health…

This aims primarily at post-baccalaureate students interested in leadership theory and ethical leadership. The first part of this course introduces students to the classical literature in philosophical ethics, including consequentialist, regularian, deontological, and virtue theory approaches. This includes exploration of the ethical responsibilities leaders have toward themselves, corporations, the government, and…

The course "Computational and Graphical Models in Probability" equips learners with essential skills to analyze complex systems through simulation techniques and network analysis. By exploring advanced concepts such as Exponential Random Graph Models and Probabilistic Graphical Models, students will learn to model and interpret intricate social structures and dependencies within data. What sets this course apart is…

This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings. As the first course in the Specialization, the course…

In this course, you’ll learn how to design and carry out clinical trials. Each design choice has implications for the quality and validity of your results. This course provides you and your team with essential skills to evaluate options, make good design choices, and implement them within your trial. You’ll learn to control for bias, randomize participants, mask treatments and outcomes, identify errors, develop and…

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 data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also…

This specialization helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. Concepts of precalculus provide the set of tools for the learner to begin their scientific career, preparing them for future science and calculus courses. This specialization is…

This specialization is designed for post-graduate students interested in mastering social computing techniques to solve real-world problems. Through four in-depth courses, learners will explore key topics such as social network analysis, chatbot development, crowdsourcing, and AI performance optimization. You will learn to analyze social networks using R programming, create functional chatbots with AWS, and enhance…

This Specialization is intended for data scientists with some familiarity with the R programming language who are seeking to do data science using the Tidyverse family of packages. Through 5 courses, you will cover importing, wrangling, visualizing, and modeling data using the powerful Tidyverse framework. The Tidyverse packages provide a simple but powerful approach to data science which scales from the most basic…

Fundamental concepts in probability, statistics and linear models are primary building blocks for data science work. Learners aspiring to become biostatisticians and data scientists will benefit from the foundational knowledge being offered in this specialization. It will enable the learner to understand the behind-the-scenes mechanism of key modeling tools in data science, like least squares and linear regression.…

This specialization is designed for post-graduate students aiming to develop advanced skills in social media analytics and its practical applications. Through four comprehensive courses, learners will explore key topics such as machine learning, natural language processing, sentiment analysis, and network analysis, equipping them to analyze complex social media data and derive actionable insights. By mastering data…

This specialization builds on topics introduced in single and multivariable differentiable calculus to develop the theory and applications of integral calculus. , The focus on the specialization is to using calculus to address questions in the natural and social sciences. Students will learn to use the techniques presented in this class to process, analyze, and interpret data, and to communicate meaningful results,…