Harvard University · edX
Fundamentals of TinyML
4.567 ratingsFocusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Overview
Health research must positively impact the lives of the general population, so the public must receive and interpret research findings in a meaningful way. That is why translating research discoveries into practice is an important phase of the translational research spectrum.
In this course, you’ll gain an introduction to the concepts of population health research and the ethical use of data science to drive advances in human health. Specifically, you’ll learn about the computational models used in population health research, the function of community partners in conducting translational research and disseminating findings, as well as the role of population health during health crises like the COVID-19 pandemic, Opioid crisis, and the Flint, Michigan, USA water crisis.
This is the fourth of five courses in the “Translational Science” series.
Syllabus 3
- Module 1 2.5 hours
Welcome to the course Translating Research to Communities. The process of moving evidence-based clinical discoveries into widespread health practice is a critical part of the translational research spectrum. In this module you will learn how to 1) define the concept of a learning health system, and…
- Module 2 2 hours
Welcome to Module 2 of the course Translating Research to Communities. In this module you will learn to 1) discuss the importance of the involvement of communities in research, 2) describe examples of research into practice (implementation science), and 3) identify common research techniques used i…
- Module 3 2 hours
Welcome to Module 3 of the course Translating Research to Communities. In this module you will 1) discuss the role of the federal government in supporting and regulating community engaged translational research, and 2) discuss the role of culture on research/ pragmatic clinical studies.
Advantages and disadvantages
Advantages
- Structured courses with graded quizzes, assignments and deadlines you can reset.
- A shareable certificate from the university or company when you pay.
- Financial aid is often approved for students in India (apply 15 days before you need it).
- From University of Michigan, a well-regarded name.
- Self-paced: start any time.
- A clear syllabus (3 parts) you can see before you start.
Disadvantages
- Paid after a 7-day free trial (Coursera Plus or per course).
- Some courses can be audited for free, but graded work and certificates need payment.
Some points apply to every course of this kind; see how we rank.
This course is paid. Here is how to take it for free
- Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
- Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.
Taught by
- Vicki EllingrodJohn Gideon Searle Professor of Pharmacy, Dean; Professor of Psychiatry, College of Pharmacy, Medical School
University of Michigan is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).
Similar courses
Harvard University · edX
Introduction to Data Science with Python
4.3174 ratingsLearn the concepts and techniques that make up the foundation of data science and machine learning.
Harvard University · edX
CS50's Introduction to Computer Science
An introduction to the intellectual enterprises of computer science and the art of programming.
Harvard University · edX
Data Science: Building Machine Learning Models
4.4133 ratingsBuild a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
MIT 6.S897 Machine Learning for Healthcare, Spring 2019
Instructors: David Sontag, Peter Szolovits View the complete course: https://ocw.mit.edu/6-S897S19 Introduces students to machine learning in healthcare, the nature of clinical data, and the use of machine learning for risk stratification, disease progression modeling, precision medicine, diagnosis…
Harvard University · edX
CS50's Introduction to Programming with Python
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.