The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Explore new ways to promote public healthDuring this course, you’ll gain the tools and skills to design and implement your own health promotion program. You will explore the ‘Healthy Monday’ concept including how The Monday Campaigns are used, and the science around health-behaviour change. You will also learn strategies for building community partnerships - along with how to plan, execute and improve your own health campaigns.This course is for public health professionals and other health advocates working in communities or organisations where health can be promoted. Examples include governments, schools, offices, universities, workplaces, parks, or faith-based groups.Johns Hopkins University is pleased to offer continuing education credits for Registered Dietitians (RD) and Certified Health Education Specialists (CHES). The Commission on Dietetic Registration (CDR) has approved Registered Dietitians to receive up to 12 continuing education units and the National Commission for Health Education Credentialing, Inc (NCHEC) has approved up to 12 total Category I continuing education contact hours. Maximum NCHEC advanced-level continuing education contact hours available are 6.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe People, Power, and Pride of Public Health provides an engaging overview of the incredible accomplishments and promise of the public health field.The first module includes interviews with legendary public health figures whose work led to millions of lives saved with vaccines, air bags and car seats, and the federal Women Infants and Children (WIC) nutrition program.The second module brings key public health tools to life -- including use of data, communications, and policy - through discussions with experienced professionals who have used these tools to save lives.The third module includes a "Carpool Karaoke"-style trip through Baltimore County, Maryland with NACCHO President Dr. Umair Shah to see and hear real public health workers talking about how they serve their communities.Learners will come away from this course with a deeper understanding of the public health field and a greater enthusiasm for their own work in public health. Preview the course on YouTube: goo.gl/RXKbUr
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course 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 beginning student to begin their scientific career, preparing them for future science and calculus courses. This course is designed for all students, not just those interested in further mathematics courses.Students interested in the natural sciences, computer sciences, psychology, sociology, or similar will genuinely benefit from this introductory course, applying the skills learned to their discipline to analyze and interpret their subject material.Students will be presented with not only new ideas, but also new applications of an old subject. Real-life data, exercise sets, and regular assessments help to motivate and reinforce the content in this course, leading to learning and mastery.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIntended for students who have completed the introduction to health equity research course and/or have previous experience working in this area. This course will cover innovative methods, practical tools, and skills required to conduct rigorous health equity research and translate evidence-based strategies into practice and policy. Covers topics ranging from conceptual frameworks for stakeholder engagement and behavioral intervention development, to adapting interventions for socially-at-risk populations, and research methods in healthcare services and social epidemiology.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course provides students with a set of tools and methodologies to plan and initiate a Problem Solving or Quality Improvement project.The first module presents methods for selecting, scoping and structuring a project before it is even initiated. It also introduces the project classifications of implementation and discovery. The second module describes the A3 problem solving methodology and the tool itself. Further in that same module, the student is shown tools to identify problems in flow, defects, and waste and to discover causes, brainstorm, and prioritize interventions. Module 3 shows a methodology within the implementation class. These methods are designed to overcome emotional and organizational barriers to translating evidence-based interventions into practice.The fourth and last module looks at one more way to approach improvement projects in the discovery class.These tools are specifically for new, out-of-the-box design thinking.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeReducing Gun Violence in America: Evidence for Change is designed to provide learners with the best available science and insights from top scholars across the country as well as the skills to understand which interventions are the most effective to offer a path forward for reducing gun violence in our homes, schools, and communities.Through this course, you will learn how to:1.Appreciate the scope of gun violence and the importance of considering the issue across a variety of contexts.2.Describe the role of law and policy in addressing gun violence at the federal, state, and local levels.3.Compare the effectiveness of gun violence policies and highlight the importance of changing the way we talk about gunviolence.4.Describe state standards for civilian gun carrying and use and how those standards affect crime and violence.5.Describe how firearm design is regulated, the effective and just enforcement of firearm laws, and strategies for reducing police-involved shootings.6.Identify and explain evidence-based programs to reduce gun violence and understand public opinion on gun policy.As a student of this course, it’s important to recognize that you are part of an international learning community. We understand that gun violence can be a difficult issue to discuss and we all have our own set of opinions and beliefs. However, we ask you to please remember that gun violence is something that affects every person differently. It’s important to understand that this course is intended to generate productive and meaningful conversation. We ask students of this course to abide by the rules outlined and expected of you by Coursera’s Code of Conduct Policy. Please help us promote a healthy, productive, and sustainable learning environment for all and practice the following principles:Be polite.Treat your fellow learners with respect.Insulting, condescending, or abusive words will not be tolerated.Do not harass other learners.Polite debate is welcome as long as you are discussing the ideas or the evidence, not attacking the person.Be sensitive.Remember that Coursera is a global forum with learners from many different cultures and backgrounds.Be kind, thoughtful, and open-minded when discussing race, religion, gender, sexual orientation, or controversial topics since others likely have differing perspectives.Post appropriate content.Content that violates the Honor Code or Terms of Service is not permitted.You may not post inappropriate (e.g., pornographic or obscene) content.Do not post copyrighted content.Do not advertise or promote outside products or organizations.Do not spam the forums with repetitive content.Please note that violations of Coursera’s Code of Conduct, Honor Code, or Terms of service are not permitted and may result in:Deletion of posted content.Removal from the course.Losing access to the Coursera site.*It is important to also note that certain policies and laws mentioned in this course are likely to change and develop over time. As a result, we understand that course content may need to be updated to reflect such changes. While we will strive to do this as quickly as possible, we appreciate your patience. All information included in the course is reported accurately at the time of recording and we intend to update lectures as soon as possible and to the best of our ability.The development of this course was made possible through generous financial support provided by the David and Lucile Packard Foundation, an organization committed to improving the lives of children, enabling the creative pursuit of science, advancing reproductive health, and conserving and restoring the earth’s natural systems.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeData visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.This is the final course in the Specialization "Data Visualization and Dashboarding in R." Learners in this course will enter with a well-developed set of skills making a wide variety of visualizations in R. The focus on this course will applying those skills to a unique project, drawing on publicly available data to tell a compelling story using the data visualization toolkit assembled in the previous courses.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis is a very exciting time to be exploring a career in Health IT Support! In this introductory course, you’ll learn about various roles in IT support that are common in healthcare. IT support staff play critical roles in many different healthcare venues. In addition to helping clinics, hospitals, and emergency rooms, you may end up providing support in a skilled nursing facility, ambulatory surgical center, virtual care setting, or even a patient’s home! On any given day, you may interact with nurses, physicians, pharmacists, physical therapists, social workers, other allied health professionals, patients or caregivers. Each of these individuals rely on IT support specialists to help them maintain a high reliability healthcare organization. As you learn about what makes Health IT unique, we hope you find inspiration in the stories shared by some of our very own IT support staff at Johns Hopkins. They’ll talk to you about the most common problems they help resolve as well as the complexity and range of issues that arise. Whether you dream of being an end-user computer support specialist, working at a healthcare help desk, or rising to an analyst role, we’re thrilled that you are embarking upon this journey. Welcome again!
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeBiostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, we'll focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies.Topics include logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeSafety culture is a facet of organizational culture that captures attitudes, beliefs, perceptions, and values about safety.A culture of safety is essential in high reliability organizations and is a critical mechanism for the delivery of safe and high-quality care.It requires a strong commitment from leadership and staff.In this course, a safe culture is promoted through the use of identifying and reporting patient safety hazards, accountability and transparency, involvement with patients and families, and effective teamwork.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeLearn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe objective of this course is to increase participants’ awareness andunderstanding of ethical issues that arise in the conduct of research onhuman subjects. The course will explore the history and future of ethicaland policy challenges using a multi-disciplinary approach. Leadingscholars in the ethics of human subject research will serve as course faculty. This course will introduce participants to the history that groundspolicies and debates regarding the use of humans in research. It will continuewith discussion of how current international and US policiesgoverning research are applied, how ethical norms and concepts have evolved,and how, in some cases, changes in research have outpaced changes in policy,leading to an often complicated mismatch between the two.The lead instructor is Jeffrey Kahn, who is the Robert HenryLevi and Ryda Hecht Levi Professor of Bioethics and Public Policy at theJohns Hopkins University Berman Institute of Bioethics. He will bejoined by colleagues who are all among the leading scholars in aspectsof the ethical and policy issues related to research on human subjects,including Profs. Ruth Faden (history and theory of informed consent), NancyKass (public health research, research in international settings), JeremySugarman (empirical approaches to research ethics, US research policy),Debra Mathews (US and international science and research policy), GailGeller (participants' perspectives on research participation), JosephAli (law and research oversight in US and international settings), andDan O'Connor (medical history, ethics and social media-based research).
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeAs the United States grapples with both the short-term and long-term impacts and considers how different groups and individuals are affected, it can easily become overwhelming to keep up with conversations about health and immigration. Most people can generally agree that health and immigration policy affect ALL communities, families, and individuals in one way or another.This Teach-Out is designed to help you have a more well-informed discussion about health and immigration.As part of this Teach-Out, you will hear the first-hand perspectives of researchers, elected officials, healthcare systems, business leaders, and community members. You will get a sneak peek into safe spaces within the immigrant community.Along the way, you will also get to test yourself and your knowledge about immigration and health, and do a fact-check with helpful resources and information. Last but not least, you will share in the spirit of a Teach-Out: bringing people together to learn about and address a current and important topic in society.At the end of each lesson, you will be asked to practice how to talk about it by sharing your thoughts and reflections on the different topics that were discussed.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeR 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 and scaling useful data science results and products.This Specialization will give you rigorous training in the R language, including the skills for handling complex data, building R packages, and developing custom data visualizations. You’ll be introduced to indispensable R libraries for data manipulation, like tidyverse, and data visualization and graphics, like ggplot2. You’ll 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.This Specialization is designed to serve both data analysts, who may want to gain more familiarity with hands-on, fundamental software skills for their everyday work, as well as data mining experts and data scientists, who may want to use R to scale their developing and programming skills, and further their careers as data science experts.