Where to learn the Core Concepts in Data Analysis?

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Where to learn the Core Concepts in Data Analysis?

Higher School of Economics is conducting an online course called "Core Concepts in Data Analysis". This 8-week-long course will begin from April.

About the Course:
This is an unconventional course in modern Data Analysis, Machine Learning and Data Mining. Its contents are heavily influenced by the idea that data analysis should help in enhancing and augmenting knowledge of the domain as represented by the concepts and statements of relation between them. According to this view, two main pathways for data analysis are summarization, for developing and augmenting concepts, and correlation, for enhancing and establishing relaions. The term summarization embraces here both simple summaries like totals and means and more complex summaries: the principal components of a set of features and cluster structures in a set of entities. Similarly, correlation covers both bivariate and multivariate relations between input and target features including Bayes classifiers.

Boris Mirkin will be the course instructor.
The course will have a work load of 6-8 hours of work / week.
It will be taught in English and the subtitles will be in English.

For further information click here

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