Search result for Master of science in health data science Online Courses & Certifications
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Protecting Public Health in a Changing Climate: A Primer for City, Local, and Regional Action
by Mary A. Fox, PhD MPH , Mary C. Sheehan, PhD MPH , Thomas A. Burke, PhD MPH- 4.8
Approx. 13 hours to complete
The main message of the course is that public health must therefore “lean in” and become a more central player in climate change mitigation and adaptation. Starting with an overview of the science consensus suggesting we have 10-20 years to prevent risks associated with exceeding 1. Introduction and Climate Science Readings...
Drug Discovery
by Williams S. Ettouati, Pharm.D. , Joseph D. Ma- 4.6
Approx. 9 hours to complete
With this course, recorded on campus at UCSD, we seek to share our access to top people in the field who bring an unprecedented range of expertise on drug discovery. This course is intended as part 1 of a series: Drug Discovery, Drug Development (https://www. A new Master Degree in Science in Drug Development & Product Management at UCSD...
Big Data, Genes, and Medicine
by Isabelle Bichindaritz- 4.2
Approx. 40 hours to complete
This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. Needless to say, when you master these high-demand skills, you will be well positioned to apply for or move to positions in biomedical data analytics and bioinformatics. Importance of Data Preprocessing Overview of Gene Alterations...
Citizen Science: Gearing Up for Discovery
by Alexa Mayo , Katherine Downton- 0.0
6 Weeks
Science is for everyone and citizen science and community-engaged research has demonstrated that non-scientists can contribute in many ways to advancing health and wellness in communities. Describe ways that citizen science can make a difference in public and environmental health Choose the best citizen science approach to meet project goals. Describe methods for data collection in citizen science projects....
$25
The Outcomes and Interventions of Health Informatics
by Harold P. Lehmann, MD, Ph.D. , Paul Nagy, PhD, FSIIM- 4.5
Approx. 7 hours to complete
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. Types of Clinical Decision Support Using Transactional and Summative Data and Knowledge for Decision Support What's in a Rule? What's in a Rule?...
Climate Adaptation for Human Health
by Kathryn Conlon- 4.5
Approx. 19 hours to complete
In this course, you will learn why taking action to plan for and adapt to climate change is necessary for protecting human health, as well as what kinds of actions are most appropriate for a particular location and population. Health Data Climate Change and Health Data Using Climate Data for Public Health...
Global Health at the Human-Animal-Ecosystem Interface
by Rafael Ruiz De Castañeda , Isabelle Bolon , Antoine Flahault , Arnaud Fontanet (in Partnership with UNIGE) , André Ravel (in Partnership with UNIGE)- 4.7
Approx. 49 hours to complete
The Ebola Virus Disease Outbreak in West Africa: A Wake-up Call to Revitalize Implementation of the International Health Regulations Antimicrobial Resistance in Foodborne Infections: Importance of the One Health approach (Dr. Citizen Science & Crowdsourcing: Opportunities & Challenges in Health (Prof. Citizen surveillance for environmental monitoring: combining the efforts of citizen science and crowdsourcing in a quantitative data framework...
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Data Processing Using Python
by ZHANG Li- 4.2
Approx. 29 hours to complete
Also, it discusses the fast, convenient and efficient data processing capacity of Python in humanities and social sciences fields like literature, sociology and journalism and science and engineering fields like mathematics and biology, in addition to business fields. 3 Data Clean of Data Exploration and Preprocessing 4 Aplications of Python into Science and Engineering Fields...
Managing, Describing, and Analyzing Data
by Wendy Martin- 4.4
Approx. 17 hours to complete
In this course, you will learn the basics of understanding the data you have and why correctly classifying data is the first step to making correct decisions. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform....
Algorithms for Searching, Sorting, and Indexing
by Sriram Sankaranarayanan- 4.6
Approx. 34 hours to complete
This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and applications such as Bloom filters. Algorithms for Searching, Sorting, and Indexing can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform....