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.
Big Data, Genes, and Medicine
提供方
Big Data, Genes, and Medicine
纽约州立大学纽约州立大学
课程信息
30,562 次近期查看
学生职业成果
50%
完成这些课程后已开始新的职业生涯
43%
通过此课程获得实实在在的工作福利
20%
加薪或升职
您将获得的技能
BioinformaticsData Clustering AlgorithmsBig DataR Programming
学生职业成果
50%
完成这些课程后已开始新的职业生涯
43%
通过此课程获得实实在在的工作福利
20%
加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
可灵活调整截止日期
根据您的日程表重置截止日期。
高级
完成时间大约为24 小时
建议：6 weeks of study, 3-5 hours per week
英语（English）
字幕：英语（English）
教学大纲 - 您将从这门课程中学到什么
完成时间为 2 小时
Genes and Data
After this module, you will be able to
完成时间为 2 小时
11 个视频 （总计 59 分钟）, 2 个阅读材料, 6 个测验
11 个视频
Introduction to Module1分钟
DNA and Genes9分钟
RNA and Proteins6分钟
Transcription Process4分钟
Transcription Animation1分钟
Translation Process5分钟
Translation Animation2分钟
Data, Variables, and Big Datasets6分钟
Working with cBioPortal - Genetic Data Analysis9分钟
Working with cBioPortal - Gene Networks9分钟
2 个阅读材料
Module 1 cBioPortal Data Analytics10分钟
Module 1 Resources10分钟
6 个练习
DNA, RNA, Genes, and Proteins4分钟
Transcription and Translation Processes6分钟
Data, Variables, and Big Datasets4分钟
Working with cBioPortal6分钟
Module 1 Quiz20分钟
Module 1 cBioPortal Data Analytics8分钟
完成时间为 5 小时
Preparing Datasets for Analysis
After this module, you will be able to:
完成时间为 5 小时
13 个视频 （总计 75 分钟）, 4 个阅读材料, 8 个测验
13 个视频
Datasets and Files10分钟
Data Sources11分钟
Importance of Data Preprocessing4分钟
Data Preprocessing Tasks2分钟
Replacing Missing Values3分钟
Data Normalization9分钟
Data Discretization5分钟
Feature Selection3分钟
Data Sampling2分钟
Principles of R6分钟
R Language1分钟
Jupyter Notebooks 1017分钟
4 个阅读材料
Jupyter Notebooks Essentials10分钟
Notebook Module 2 Tutorial10分钟
Module 2 R Data Preprocessing10分钟
Module 2 Resources10分钟
8 个练习
Datasets and Files4分钟
Data Preprocessing Tasks4分钟
Replacing Missing Values2分钟
Normalization and Discretization4分钟
Data Reduction4分钟
Working with R4分钟
Module 2 Quiz20分钟
Module 2 R Data Preprocessing10分钟
完成时间为 4 小时
Finding Differentially Expressed Genes
After this module, you will be able to
完成时间为 4 小时
9 个视频 （总计 53 分钟）, 4 个阅读材料, 6 个测验
9 个视频
Overview of Feature Selection Methods13分钟
Filter Methods4分钟
Wrapper Methods4分钟
Evaluation Schemes7分钟
Selecting Differentially Expressed Genes3分钟
Heatmaps6分钟
R Scripts for Feature Selection3分钟
Jupyter Notebooks 1017分钟
4 个阅读材料
Notebook Module 3 Tutorial10分钟
Jupyter Notebooks Essentials10分钟
Module 3 R Finding Differentially Expressed Genes10分钟
Module 3 Resources10分钟
6 个练习
Feature Selection Methods4分钟
Evaluation Schemes2分钟
Differentially Expressed Genes4分钟
Heatmaps4分钟
Module 3 Quiz16分钟
Module 3 R Finding Differentially Expressed Genes10分钟
完成时间为 4 小时
Predicting Diseases from Genes
After this module, you will be able to
完成时间为 4 小时
12 个视频 （总计 85 分钟）, 4 个阅读材料, 10 个测验
12 个视频
Overview of Classification and Prediction Methods8分钟
Classification Methods Based on Analogy12分钟
Classification Methods Based on Rules13分钟
Classification Methods Based on Neural Networks7分钟
Classification Methods Based on Statistics3分钟
Classification Methods Based on Probabilities7分钟
Prediction Methods4分钟
Evaluation Schemes13分钟
Prediction Workflow4分钟
R Scripts for Prediction1分钟
Jupyter Notebooks 1017分钟
4 个阅读材料
Jupyter Notebooks Essentials10分钟
Notebook Module 4 Tutorial10分钟
Module 4 R Predicting Diseases from Genes10分钟
Module 4 Resources10分钟
10 个练习
Overview4分钟
Classification with Analogy2分钟
Classification based on Rules2分钟
Classification with Neural Networks2分钟
Classification based on Statistics2分钟
Classification based on Probabilities2分钟
Prediction Models2分钟
Evaluation Schemes2分钟
Module 4 Quiz20分钟
Module 4 R Predicting Diseases from Genes10分钟
审阅
4.2
来自BIG DATA, GENES, AND MEDICINE的热门评论
由 MA 提供May 9, 2019
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.
由 HH 提供Mar 6, 2017
The course is amazing, I want to purchase the course but it is not being working...I don't know what is the problem.
由 SD 提供Dec 22, 2019
Great range of content covered! Some videos on cBioPortal are best updated since the website has changed!
由 AM 提供Nov 28, 2018
Should have focused more on the coding part. Rest of the course was informative and well structured.
由 AE 提供Jun 15, 2018
I feel like I wanted to have practice with the material that was covered in the lecture
由 MW 提供May 19, 2019
Highly recommended! A great yet in-depth course on data science and bioinformatics.
由 PS 提供Jan 3, 2017
A great introduction to the topic. It will leave you wanting to learn more.
由 DC 提供Oct 27, 2018
Me brindó las herramientas que necesitaba para mi crecimiento profesional
由 PS 提供Mar 9, 2017
Very Happy to learn about Genes. Expecting for More Praticles
由 MO 提供Oct 17, 2016
Amazing course! one of the best courses on couresera!
关于 纽约州立大学纽约州立大学
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.
常见问题
我什么时候能够访问课程视频和作业？
注册以便获得证书后，您将有权访问所有视频、测验和编程作业（如果适用）。只有在您的班次开课之后，才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程，可能无法访问某些作业。
我购买证书后会得到什么？
您购买证书后，将有权访问所有课程材料，包括评分作业。完成课程后，您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
退款政策是如何规定的？
有助学金吗？
还有其他问题吗？请访问 学生帮助中心。