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    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of Delivery
    EnglishSelf StudyVideo and Text Based

    Courses and Certificate Fees

    Certificate AvailabilityCertificate Providing Authority
    yesCoursera

    The Syllabus

    Videos
    • Introduction to Regression
    • Introduction: Basic Least Squares
    • Technical Details (Skip if you'd like)
    • Introductory Data Example
    • Notation and Background
    • Linear Least Squares
    • Linear Least Squares Coding Example
    • Technical Details (Skip if you'd like)
    • Regression to the Mean
    Readings
    • Welcome to Regression Models
    • Book: Regression Models for Data Science in R
    • Syllabus
    • Pre-Course Survey
    • Data Science Specialization Community Site
    • Where to get more advanced material
    • Regression
    • Technical details
    • Least squares
    • Regression to the mean
    • Practical R Exercises in swirl Part 1
    Assignment
    • Quiz 1

    Videos
    • Statistical Linear Regression Models
    • Interpreting Coefficients
    • Linear Regression for Prediction
    • Residuals
    • Residuals, Coding Example
    • Residual Variance
    • Inference in Regression
    • Coding Example
    • Prediction
    • Really, really quick intro to knitr
    Readings
    • *Statistical* linear regression models
    • Residuals
    • Inference in regression
    • Looking ahead to the project
    • Practical R Exercises in swirl Part 2
    Assignment
    • Quiz 2

    Videos
    • Multivariable Regression part I
    • Multivariable Regression part II
    • Multivariable Regression Continued
    • Multivariable Regression Examples part I
    • Multivariable Regression Examples part II
    • Multivariable Regression Examples part III
    • Multivariable Regression Examples part IV
    • Adjustment Examples
    • Residuals and Diagnostics part I
    • Residuals and Diagnostics part II
    • Residuals and Diagnostics part III
    • Model Selection part I
    • Model Selection part II
    • Model Selection part III
    Readings
    • Multivariable regression
    • Adjustment
    • Residuals
    • Model selection
    • Practical R Exercises in swirl Part 3
    Assignment
    • Quiz 3
    • (OPTIONAL) Data analysis practice with immediate feedback (NEW! 10/18/2017)

    Videos
    • GLMs
    • Logistic Regression part I
    • Logistic Regression part II
    • Logistic Regression part III
    • Poisson Regression part I
    • Poisson Regression part II
    • Hodgepodge
    Readings
    • GLMs
    • Logistic regression
    • Count Data
    • Mishmash
    • Practical R Exercises in swirl Part 4
    • Post-Course Survey
    Assignment
    • Quiz 4

    Instructors

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