HIGH-DIMENSIONAL DATA ANALYSIS

This 4-week self-paced English course aims to introduce you to the intriguing field of data science. With a flexible commitment of 2 to 4 hours per week, you can explore and master the core concepts at your own pace. Through engaging lessons and hands-on exercises, you’ll dive into the world of data, learning how to analyze it and derive insights from it. The focus is on several techniques that are widely used in the analysis of high-dimensional data.

If you want to analyze and interpret data, this course is for you. You’ll learn about mathematical concepts such as distance and singular value decomposition (SVD) that underlie dimensionality reduction and multidimensional scaling, including their relationship to principal component analysis. In addition, we will address the complex issue of group effects in genomic data analysis and discuss detection and correction techniques. You will also look at data visualization and analysis using methods such as principal component analysis and factor analysis.