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.
이 강좌에 대하여
학습자 경력 결과
50%
43%
20%
귀하가 습득할 기술
학습자 경력 결과
50%
43%
20%
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뉴욕주립대학교
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.
강의 계획 - 이 강좌에서 배울 내용
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
검토
BIG DATA, GENES, AND MEDICINE의 최상위 리뷰
Very good for statistics information in regards to genes, medicine, and big data. I wish they would have spent more time on the R code and how to create it, but otherwise was a really good course.
Very practical and easy to follow. The quizzes definitely help you retain the knowledge from the lectures. The hands-on with Jupyter Notebook was my favourite part of this course! Thank you!
Really enjoying the way she is teaching. Very easy to learn and practice. I strongly believe when I will complete the course I will gain a remarkable skill on Big Data, Genes, and Medicine.
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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