Who is this class for: This course is primarily aimed at health care professionals or assistants, and those with a BS/MA/MS in science or technology or equivalent professional experience. Minimum technical skills are a good understanding of using an Excel spreadsheet. Additional prerequisite knowledge in basic statistics would be preferred, however additional resources will be made available to learners to acquire this knowledge. I think that anyone interested in getting insights into how to harness Big Data to better understand, prevent, and treat diseases can take this course because the material can be applied at different levels of expertise.


Created by:  The State University of New York

LevelAdvanced
Commitment6 weeks of study, 3-5 hours per week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.1 stars
Average User Rating 4.1See what learners said
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Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Creators
The State University of New York
The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe.
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Ratings and Reviews
Rated 4.1 out of 5 of 46 ratings

This is an excellent course to learn about fundamental to intermediate level of "Big-data" in biomedical sciences and effective analysis. Very well designed and perfectly delivered by Prof. Bichindaritz. I would strongly recommend other genuine bioinformatics aspirants to enrol for this very course.

Thank you. :-)

Excellent introduction to how to run genetic data analytic applications on a big data infraestructure.

The theorical concepts related to data analytics were explained with highly professional quality; easy to understand for those with a data science backgroud. Also there were efective, efficient and acertive in the on the process of knowledge transference.

An outstanding course that exceed my expectations on regarding to data analytics theory and methods.

A good start. Congratulations.

The course has some minors mistakes that does not affect the essence of it.

Great course, it was exactly what I was missing to help me progress in my work analyzing genetic data. By studying the content, I gained in a short amount of time the new skills I needed to analyze genetic data. The course is very rich, and I enjoyed it very much. It is very visible that the professor is an expert in this field !

This course is very well organized, has a ton of very practical information I could not find anywhere, all made available at your fingertips. I really enjoyed all the material, and am grew in confidence in analyzing big data from biomedical domains. Thank you for spednign the time putting all this material together !