Home Data Science High-Dimensional Data Analysis

High-Dimensional Data Analysis

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Online Course Highlights
  • HarvardX via edX
  • Learn for FREE, Up-gradable
  • 16 hours of effort required
  • 83,246+ already enrolled!
  • Skill Level: Advanced
  • Language: English

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 of high-dimensional data sets, and multi-dimensional scaling and its connection to principle 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.

Syllabus

  • Mathematical Distance.
  • Dimension Reduction.
  • Singular Value Decomposition and Principal Component Analysis.
  • Multiple Dimensional Scaling Plots.
  • Factor Analysis.
  • Dealing with Batch Effects.
  • Clustering.
  • Heatmaps.
  • Basic Machine Learning Concepts.

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