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    Quick Facts

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

    Courses and Certificate Fees

    Fees InformationsCertificate AvailabilityCertificate Providing Authority
    INR 7681yesColumbia University, New York

    The Syllabus

    • Examples of Statistical Thinking
    • Numerical Data, Summary Statistics
    • From Population to Sampled Data
    • Different Types of Biases
    • Introduction to Probability
    • Introduction to Statistical Inference

    • Association and Dependence
    • Association and Causation
    • Conditional Probability and Bayes Rule
    • Simpsons Paradox, Confounding
    • Introduction to Linear Regression
    • Special Regression Models

    • Goals of statistical graphics and data visualization
    • Graphs of Data
    • Graphs of Fitted Models
    • Graphs to Check Fitted Models
    • What makes a good graph?
    • Principles of graphics

    • Bayesian inference: combining models and data in a forecasting problem
    • Bayesian hierarchical modeling for studying public opinion
    • Bayesian modeling for Big Data

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