DELETED: Short Introduction to Algorithmic Data AnalysisLaajuus (3 cr)

Objective

Student understands: what kind of problems can be solved using algorithmic data analysis; principles and prerequisites of the most common data analysis methods; prerequisites and goals of data mining and machine learning; the workflow of algorithmic data analysis Student knows how to choose the correct approach (descriptive vs. predictive) and to choose the correct method from the most common ones. Student can use the common data analysis methods, and knows how to analyse the results.

Content

Different phases of data analysis. Basic concepts in descriptive and predictive data analysis. Basics of mining of association rules and frequent itemsets. Most important clustering algorithms. Basics of graph analysis. Decision trees and naïve Bayes classifier. Detecting and analysing anomalies. Privacy and fairness in data-analysis.

Qualifications

Introductory course in statistics (or similar skills)

Materials

T

Accomplishment methods

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