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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
    • 1.1 Course Introduction
    • 1.2 Definition and Uses of Models, Common Functions
    • 1.3 How Models Are Used in Practice
    • 1.4 Key Steps in the Modeling Process
    • 1.5 A Vocabulary for Modeling
    • 1.6 Mathematical Functions
    • 1.7 Summary
    Reading
    • PDF of Lecture Slides
    Assignment
    • Module 1: Introduction to Models Quiz

    Videos
    • 2.1 Introduction to Linear Models and Optimization
    • 2.2 Growth in Discrete Time
    • 2.3 Constant Proportionate Growth
    • 2.4 Present and Future Value
    • 2.5 Optimization
    • 2.6 Summary
    Reading
    • PDF of Lecture Slides
    Assignment
    • Module 2: Linear Models and Optimization Quiz

    Videos
    • 3.1 Introduction to Probabilistic Models
    • 3.2 Examples of Probabilistic Models
    • 3.3 Regression Models
    • 3.4 Probability Trees
    • 3.5 Monte Carlo Simulations
    • 3.6 Markov Chain Models
    • 3.7 Building Blocks of Probability Models
    • 3.8 The Bernoulli Distribution
    • 3.9 The Binomial Distribution
    • 3.10 The Normal Distribution
    • 3.11 The Empirical Rule
    • 3.12 Summary
    Reading
    • PDF of Lecture Slides
    Assignment
    • Module 3: Probabilistic Models Quiz

    Videos
    • 4.1 Introduction to Regression Model
    • 4.2 Use of Regression Models
    • 4.3 Interpretation of Regression Coefficients
    • 4.4 R-squared and Root Mean Squared Error (RMSE)
    • 4.5 Fitting Curves to Data
    • 4.6 Multiple Regression
    • 4.7 Logistic Regression
    • 4.8 Summary of Regression Models
    Reading
    • PDF of Lecture Slides
    Assignment
    • Module 4: Regression Models Quiz

    Instructors

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