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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
Practice Exercise
  • 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
Practice Exercise
  • 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
Practice Exercise
  • 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
Practice Exercise
  • Module 4: Regression Models Quiz

Instructors

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