Coursera

Digital technology has not only revolutionized society, but also the way we can study it. Currently, this is taken advantage of by the most valuable companies in Silicon Valley, the most powerful governmental agencies, and the most influential social movements. What they have in common is that they use computational tools to understand, and ultimately influence human behavior and social dynamics.
An increasing part of human interaction leaves a massive digital footprint behind. Studying it allows us to gain unprecedented insights into what society is and how it works, including its intricate social networks that had long been obscure. Computational power allows us to detect hidden patterns through analytical tools like machine learning and to natural language processing. Finally, computer simulations enable us to explore hypothetical situations that may not even exist in reality, but that we would like to exist: a better world.

Teach Computational Thinking. Be prepared to teach block-based programming in K-12 settings.

Distinguish Yourself as a Modeler. You will acquire SAS statistics, modeling, and programming skills including ANOVA, regression, logistic regression, business applications of modeling, and challenges of modeling.

Kickstart your career in application development. Master Cloud Native and Full Stack Development using hands-on projects involving HTML, JavaScript, Node.js, Python, Django, Containers, Microservices and more. No prior experience required.

In this project-based course, you will outline a complete scientific paper, choose an appropriate journal to which you'll submit the finished paper for publication, and prepare a checklist that will allow you to independently judge whether your paper is ready to submit.

Transform Your Writing Skills. Prepare for college-level writing and research in just four courses.

Critically Analyze Research and Results Using R. Learn to recognize sloppy science, perform solid research and do appropriate data analysis.

This specialisation will enable you to reflect on and cultivate the behaviours you require to become an effective public health professional –whether as an academic, practitioner, clinician, manager or leader.The specialisation is shaped into four courses covering the origins of public health, health improvement, behaviour change, and health protection. The specialisation will draw upon learning from the Statistics for Public Health and Epidemiology for Public Health specialisations, and builds the foundations of public health knowledge.

In this class you’ll be learning how to style a presentation for success.
Familiarize yourself with fundamental concepts in neuroscience, like Functional Magnetic Resonance Imaging (fMRI), neurohacking (in R), and neuroimaging.

This course has a singular and clear aim, to empower you to do statistical tests, ready for incorporation into your dissertations, research papers, and presentations. The ability to summarize data, create plots and charts, and to do the tests that you commonly see in the literature is a powerful skill indeed. Not only will it further your career, but it will put you in the position to contribute to the advancement of humanity through scientific research.