Big Data, Genes, and Medicine

所在平台: CourseraArchive

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大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/data-genes-medicine

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课程简介

The State University of New York

课程大纲

After this module, you will be able to 1. Locate and download files for data analysis involving genes and medicine. 2. Open files and preprocess data using R language. 3. Write R scripts to replace missing values, normalize data, discretize data, and sample data.

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课程详情

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. 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. No matter what your skill levels are in biomedical or technical areas, you will gain highly valuable new or sharpened skills that will make you stand-out as a professional and want to dive even deeper in biomedical Big Data. It is my hope that this course will spark your interest in the vast possibilities offered by publicly available Big Data to better understand, prevent, and treat diseases.

大数据,基因和医学:本课程为您提炼健康大数据科学和生物信息学专业人士掌握的专业知识和技能。您将学到关于人体生物学,化学,遗传学和医学的激动人心的事实,这些事实将与大数据科学和技巧交织在一起,以利用唾手可得的公开数据,我们才刚刚开始理解这些数据。 。我们将研究在医疗保健和生物学环境中对实际数据集(包括下一代测序数据)掌握大数据分析所需的不同步骤,从准备进行分析的数据到完成分析,解释结果,将其可视化并共享结果。 不用说,当您掌握了这些高要求的技能时,您将可以轻松地申请或转移到生物医学数据分析和生物信息学领域。无论您在生物医学或技术领域的技能水平如何,您都将获得极有价值的新技能或尖端技能,这些技能将使您脱颖而出,成为专业人士,并希望更深入地从事生物医学大数据研究。我希望本课程能激发您对公共大数据所提供的巨大可能性的兴趣,以更好地了解,预防和治疗疾病。

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