Multivariate Probability Distributions in R

Starting at USD 39.00
4 hours duration

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).

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DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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