High-Dimensional Data Analysis offered by Harvard University
- Private University
3 Campuses- Estd. 1636
High-Dimensional Data Analysis at Harvard University Overview
High-Dimensional Data Analysis
at Harvard University
A focus on several techniques that are widely used in the analysis of high-dimensional data.
Duration | 4 weeks |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Course Level | UG Certificate |
High-Dimensional Data Analysis at Harvard University Highlights
High-Dimensional Data Analysis
at Harvard University
- Earn a certificate of completion
High-Dimensional Data Analysis at Harvard University Course details
High-Dimensional Data Analysis
at Harvard University
Skills you will learn
What are the course deliverables?
- Mathematical Distance
- Dimension Reduction
- Singular Value Decomposition and Principal Component Analysis
- Multiple Dimensional Scaling Plots
- Factor Analysis
- Dealing with Batch Effects
More about this course
- If you're interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principal component analysis. We will learn about the batch effect
- The most challenging data analytical problem in genomics today and describe how the techniques can be used to detect and adjust for batch effects. Specifically, we will describe the principal component analysis and factor analysis and demonstrate how these concepts are applied to data visualization and data analysis of high-throughput experimental data.
- Finally, we give a brief introduction to machine learning and apply it to high-throughput data. We describe the general idea behind clustering analysis and descript K-means and hierarchical clustering and demonstrate how these are used in genomics and describe prediction algorithms such as k-nearest neighbors along with the concepts of training sets, test sets, error rates, and cross-validation.
High-Dimensional Data Analysis at Harvard University Curriculum
High-Dimensional Data Analysis
at Harvard University
Data Science, Biostatistics, Data Analysis, Data Visualization, R, Statistics
High-Dimensional Data Analysis at Harvard University Faculty details
High-Dimensional Data Analysis
at Harvard University
Rafael Irizarry
Designation : Professor of Biostatistics, T.H. Chan School of Public Health
Michael Love
Designation : Assistant Professor, Departments of Biostatistics and Genetics, UNC Gillings School of Global Public Health
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High-Dimensional Data Analysis at Harvard University Contact Information
High-Dimensional Data Analysis
at Harvard University
Address
1350 Massachusetts Ave, Cambridge, Massachusetts 02138, USA
Cambridge ( Massachusetts)
Phone
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