Big Data, Genes, and Medicine

This course distills professional knowledge and abilities in health data science and bioinformatics for you. You will discover intriguing facts about the human body's biology, chemistry, genetics, and medicine, which will be integrated with Big Data science and skills to harness the avalanche of data that is readily available at your fingertips and that they are only beginning to make sense of. They'll look at the many processes necessary to master Big Data analytics on actual datasets, including Next Generation Sequencing data, in healthcare and biological setting, from data preparation through analysis completion, understanding the results, visualizing them, and communicating the results.

Needless to say, after you've mastered these in-demand abilities, you'll be well-positioned to apply for or advance in careers in biomedical data analytics and bioinformatics. You will obtain extremely useful new or refined abilities that will help you stand out as a professional and wish to delve even further into biomedical big data, regardless of your skill levels in biomedical or technical fields. The instructor hopes that this course piques your curiosity about the tremendous potential provided by publicly available big data to better understand, prevent, and cure illnesses.

Dr. Isabelle Bichindaritz is an associate professor of Computer Science and Director of Biomedical Informatics at SUNY Oswego. Following receiving a Ph.D. in Computer Science from the University René Descartes – Paris V, Dr. Bichindaritz served as a research scientist at the Fred Hutchinson Cancer Research Center in Seattle and as an assistant professor and professor at the University of Washington, Tacoma Institute of Technology, and the National School of Public Health. Her research focuses on intelligent learning systems and biomedical data science for decision analytics and data analytics in healthcare and biomedical research, as well as more broadly on artificial intelligence in medicine. She has authored or co-authored more than 100 papers in peer-reviewed journals and conferences. This is one of the best online genetics courses.

The course offers

• Flexible deadlines
• Shareable Certificate
• 100% online
• Advanced Level
• It takes approximately 40 hours to complete.
• Subtitles: French, Portuguese (European), Russian, English, Spanish

Coursera rating: 4.2/5

Enroll here: https://www.coursera.org/learn/data-genes-medicine