Course modules

Practical information

Practical information
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Practical information 94344    
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    Welcome Welcome
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    Schedule Schedule
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    Wrap-up Wrap-up
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Pre-course

Pre-course
Module completed Module in progress Module locked
Pre-course 94345    
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    Precourse Precourse
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    Mathematical foundations: notations Mathematical foundations: notations
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    Mathematical foundations: sets Mathematical foundations: sets
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    Mathematical foundations: functions Mathematical foundations: functions
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    Mathematical foundations: differentiation Mathematical foundations: differentiation
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    Mathematical foundations: integration Mathematical foundations: integration
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    Mathematical foundations: vectors Mathematical foundations: vectors
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    Mathematical foundations: matrices Mathematical foundations: matrices
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    Precourse: env Precourse: env
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    Precourse: env R packages Precourse: env R packages
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  • Assignment
    Precourse homework Precourse homework
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Descriptive statistics

Descriptive statistics
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Descriptive statistics 94346    
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    Descriptive: Data types Descriptive: Data types
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    Descriptive: Categorical data Descriptive: Categorical data
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    Descriptive: Numerical data Descriptive: Numerical data
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    Descriptive: Measures of location Descriptive: Measures of location
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    Descriptive: Measures of spread Descriptive: Measures of spread
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    Descriptive: Exercises Descriptive: Exercises
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Probability

Probability
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Probability 94347    
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    Probability 1: Introduction to probability Probability 1: Introduction to probability
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    Probability 2: Discrete random variables Probability 2: Discrete random variables
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    Probability: Exercises: Discrete random variables Probability: Exercises: Discrete random variables
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    Probability 3: Continuous random variable Probability 3: Continuous random variable
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    Probability 4: Sampling and experimental design Probability 4: Sampling and experimental design
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    Probability: Exercises: Continuous random variables Probability: Exercises: Continuous random variables
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Statistical inference

Statistical inference
Module completed Module in progress Module locked
Statistical inference 94348    
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    Inference 1: Introduction to hypothesis tests Inference 1: Introduction to hypothesis tests
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    Inference: Exercises: Hypothesis tests, resampling Inference: Exercises: Hypothesis tests, resampling
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    Inference 2: Parametric tests Inference 2: Parametric tests
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    Inference: Exercises: Hypothesis tests, parametric Inference: Exercises: Hypothesis tests, parametric
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    Inference 3: Multiple testing Inference 3: Multiple testing
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    Inference 4: Point and interval estimates Inference 4: Point and interval estimates
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    Inference: Exercises: Interval estimates Inference: Exercises: Interval estimates
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Linear Models

Linear Models
Module completed Module in progress Module locked
Linear Models 94349    
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    Linear models: introduction Linear models: introduction
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    Linear models: introduction (exercises) Linear models: introduction (exercises)
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    Linear models: coefficients Linear models: coefficients
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    Linear models: coefficients (exercises) Linear models: coefficients (exercises)
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    Linear models: model diagnostics Linear models: model diagnostics
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    Linear models: model diagnostics (exercises) Linear models: model diagnostics (exercises)
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    Linear models: GLM Linear models: GLM
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    Linear models: GLM (exercises) Linear models: GLM (exercises)
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Unsupervised learning

Unsupervised learning
Module completed Module in progress Module locked
Unsupervised learning 94350    
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    Principal Component Analysis Principal Component Analysis
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    PCA: Exercises PCA: Exercises
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    PCA: Solutions PCA: Solutions
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    Clustering Clustering
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    Clustering: Exercises Clustering: Exercises
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    Clustering: Solutions Clustering: Solutions
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Supervised learning

Supervised learning
Module completed Module in progress Module locked
Supervised learning 94351    
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    Supervised learning: introduction Supervised learning: introduction
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    Supervised learning: introduction (exercises) Supervised learning: introduction (exercises)
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    Supervised learning: regularization Supervised learning: regularization
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    Regularization: Likelihood Regularization: Likelihood
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    Regularization: Overfitting Regularization: Overfitting
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    Regularization: Regularization Regularization: Regularization
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    Regularization: Exercises Regularization: Exercises
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    Supervised learning: random forest Supervised learning: random forest
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
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    Supervised learning: random forest (exercises) Supervised learning: random forest (exercises)
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
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    Supervised learning: random forest (exercise solutions) Supervised learning: random forest (exercise solutions)
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
 
minimum score must view must submit must contribute