Mathematics and Statistics
Learn to analyze, plot, and model multivariate data.
When conducting analysis on datasets with numerous variables, it is crucial to explore the interrelationships between these variables using multivariate statistics. This course aims to equip you with the necessary skills to effectively analyze such datasets. Additionally, you will gain knowledge about prevalent multivariate probability distributions, such as the multivariate normal, multivariate-t, and various multivariate skew distributions. Furthermore, you will be introduced to techniques for representing high dimensional data in a reduced number of dimensions, including principal component analysis (PCA) and multidimensional scaling (MDS).
by DataCamp
Learn to analyze, plot, and model multivariate data.
by DataCamp
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour...
by DataCamp
In this course, you'll learn how to implement more advanced Bayesian models using RJAGS.
by DataCamp
Learn to create animated graphics and linked views entirely in R with plotly.
by DataCamp
Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.