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Data Science
Grades
General
Introduction to data
Introduction to data mining
Exploratory Data Analysis
Hypothesis testing
Data Visualisation
Linear regression
Data collection methods
logistic regression
ANOVA
Data preparation and cleaning
Data transformation
Bias variance tradeoff
Regularization, ridge and lasso regression, AIC, BIC, Parsimony
Structured, unstructured, semi structured data
Principal component analysis
NOSQL, MongoDB, Document oriented database
Clustering
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Data Science