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Core Concepts in Data Analysis
Course
en
English
48 h
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- Self-paced
- Free Access
- Free certificate
- 8 Sequences
- Introductive Level
Course details
Syllabus
Week 1. Intro: Examples of data and data analysis problems; visualization.
Week 2. 1D analysis. Feature scales. Histogram. Two common types of histograms: Gaussian and Power Law. Central values. Minkowski distance and data recovery view. Validation with Bootstrap.
Week 3-4. 2D analysis cases:
(Both quantitative: Scatter-plot, linear regression, correlation and determinacy coefficients: meaning and properties. Both nominal: Contingency table, Quetelet index, Pearson chi-squared coefficient, its double meaning and visualization).
Week 5-6. Learning multivariate correlations
(Bayes approach and Naïve Bayes classifier with a Bag-of-words text model; Decision trees and criteria for building them.)
Week 7. Principal components (PCA) and SVD
(SVD model behind PCA: student marks as the product of subject factor scores and subject loadings. Application to deriving a hidden underlying factor. Data visualization with PCA. Conventional PCA and data normalization issues.)
Week 8. Clustering with k-means
(K-Means iterations and K-Means features
K-Means criterion. Anomalous clusters and intelligent K-Means.)
Prerequisite
None.
Instructors
- Boris Mirkin - Department of Data Analysis and Artificial Intelligence
Editor
The National Research University 'School of Advanced Studies in Economics' (EHESE) in Moscow was founded in 1992 on the initiative of Russian economists.
A state university since 2001, initially under the supervision of the Ministry of Economic Development, it has been a higher education and research establishment directly attached to the government of the Russian Federation since 2008. Its current status as a national research university of Russia was conferred in 2009, following an inter-university competition.
It is known internationally as the Higher School of Economics (HSE).
In addition to Moscow, the school has three subsidiary campuses: in St Petersburg, Nizhny Novgorod and Perm.
Regularly ranked in the Top 100 of the world's best universities by the QS World University Rankings, it is the second most reputed4 in Russia.
Platform
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