Course modules

Practical information

Practical information Practical information

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Welcome Welcome 1

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Schedule Schedule 2

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Wrap-up Wrap-up 4

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Pre-course

Pre-course Pre-course

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Precourse Precourse 1

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Mathematical foundations: notations Mathematical foundations: notations 2

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Mathematical foundations: sets Mathematical foundations: sets 3

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Mathematical foundations: functions Mathematical foundations: functions 4

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Mathematical foundations: differentiation Mathematical foundations: differentiation 5

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Mathematical foundations: integration Mathematical foundations: integration 6

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Mathematical foundations: vectors Mathematical foundations: vectors 7

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Mathematical foundations: matrices Mathematical foundations: matrices 8

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Precourse: env Precourse: env 9

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Precourse: env R packages Precourse: env R packages 10

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Assignment

Precourse homework Precourse homework 0 11

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Descriptive statistics

Descriptive statistics Descriptive statistics

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Descriptive: Data types Descriptive: Data types 1

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Descriptive: Categorical data Descriptive: Categorical data 2

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Descriptive: Numerical data Descriptive: Numerical data 3

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Descriptive: Measures of location Descriptive: Measures of location 4

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Descriptive: Measures of spread Descriptive: Measures of spread 5

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Descriptive: Exercises Descriptive: Exercises 6

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Probability

Probability Probability

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Probability 1: Introduction to probability Probability 1: Introduction to probability 1

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Probability 2: Discrete random variables Probability 2: Discrete random variables 2

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Probability: Exercises: Discrete random variables Probability: Exercises: Discrete random variables 3

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Probability 3: Continuous random variable Probability 3: Continuous random variable 4

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Probability 4: Sampling and experimental design Probability 4: Sampling and experimental design 5

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Probability: Exercises: Continuous random variables Probability: Exercises: Continuous random variables 6

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Statistical inference

Statistical inference Statistical inference

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Inference 1: Introduction to hypothesis tests Inference 1: Introduction to hypothesis tests 1

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Inference: Exercises: Hypothesis tests, resampling Inference: Exercises: Hypothesis tests, resampling 2

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Inference 2: Parametric tests Inference 2: Parametric tests 3

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Inference: Exercises: Hypothesis tests, parametric Inference: Exercises: Hypothesis tests, parametric 4

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Inference 3: Multiple testing Inference 3: Multiple testing 5

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Inference 4: Point and interval estimates Inference 4: Point and interval estimates 6

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Inference: Exercises: Interval estimates Inference: Exercises: Interval estimates 7

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Linear Models

Linear Models Linear Models

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Linear models: introduction Linear models: introduction 1

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Linear models: introduction (exercises) Linear models: introduction (exercises) 2

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Linear models: coefficients Linear models: coefficients 3

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Linear models: coefficients (exercises) Linear models: coefficients (exercises) 4

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Linear models: model diagnostics Linear models: model diagnostics 5

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Linear models: model diagnostics (exercises) Linear models: model diagnostics (exercises) 6

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Linear models: GLM Linear models: GLM 7

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Linear models: GLM (exercises) Linear models: GLM (exercises) 8

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Unsupervised learning

Unsupervised learning Unsupervised learning

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Principal Component Analysis Principal Component Analysis 1

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PCA: Exercises PCA: Exercises 2

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PCA: Solutions PCA: Solutions 3

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Clustering Clustering 4

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Clustering: Exercises Clustering: Exercises 5

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Clustering: Solutions Clustering: Solutions 6

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Supervised learning

Supervised learning Supervised learning

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Supervised learning: introduction Supervised learning: introduction 1

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Supervised learning: introduction (exercises) Supervised learning: introduction (exercises) 2

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Supervised learning: regularization Supervised learning: regularization 3

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Regularization: Likelihood Regularization: Likelihood 4

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Regularization: Overfitting Regularization: Overfitting 5

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Regularization: Regularization Regularization: Regularization 6

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Regularization: Exercises Regularization: Exercises 7

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Supervised learning: random forest Supervised learning: random forest 8

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Supervised learning: random forest (exercises) Supervised learning: random forest (exercises) 9

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Supervised learning: random forest (exercise solutions) Supervised learning: random forest (exercise solutions) 10

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