This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to harness the avalanche of data openly available at your fingertips and which we are just starting to make sense of. We’ll investigate the different steps required to master Big Data analytics on real datasets, including Next Generation Sequencing data, in a healthcare and biological context, from preparing data for analysis to completing the analysis, interpreting the results, visualizing them, and sharing the results.
Offert par


Big Data, Genes, and Medicine
Université d'État de New YorkÀ propos de ce cours
Compétences que vous acquerrez
- Bioinformatics
- Data Clustering Algorithms
- Big Data
- R Programming
Offert par

Université d'État de 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.
Programme de cours : ce que vous apprendrez dans ce cours
Genes and Data
After this module, you will be able to
Preparing Datasets for Analysis
After this module, you will be able to:
Finding Differentially Expressed Genes
After this module, you will be able to
Predicting Diseases from Genes
After this module, you will be able to
Avis
- 5 stars54,09 %
- 4 stars29,91 %
- 3 stars8,19 %
- 2 stars2,45 %
- 1 star5,32 %
Meilleurs avis pour BIG DATA, GENES, AND MEDICINE
The course is amazing, I want to purchase the course but it is not being working...I don't know what is the problem.
Great range of content covered! Some videos on cBioPortal are best updated since the website has changed!
Excellent course for an introduction to Big data and bioscience.
A very informative course . I learn so many things from this course and this course has very good coverage in data and its analysis. thank you so much for providing this course
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