About this Course

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Learner Career Outcomes

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Shareable Certificate
Earn a Certificate upon completion
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Start instantly and learn at your own schedule.
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Approx. 8 hours to complete
English

Skills you will gain

ModelingLinear RegressionProbabilistic ModelsRegression Analysis

Learner Career Outcomes

34%

started a new career after completing these courses

35%

got a tangible career benefit from this course

10%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 8 hours to complete
English

Offered by

Placeholder

University of Pennsylvania

Syllabus - What you will learn from this course

Content RatingThumbs Up96%(9,258 ratings)Info
Week
1

Week 1

2 hours to complete

Module 1: Introduction to Models

2 hours to complete
7 videos (Total 72 min), 1 reading, 1 quiz
7 videos
1.2 Definition and Uses of Models, Common Functions14m
1.3 How Models Are Used in Practice10m
1.4 Key Steps in the Modeling Process7m
1.5 A Vocabulary for Modeling8m
1.6 Mathematical Functions20m
1.7 Summary4m
1 reading
PDF of Lecture Slides10m
1 practice exercise
Module 1: Introduction to Models Quiz30m
Week
2

Week 2

2 hours to complete

Module 2: Linear Models and Optimization

2 hours to complete
6 videos (Total 69 min), 1 reading, 1 quiz
6 videos
2.2 Growth in Discrete Time7m
2.3 Constant Proportionate Growth12m
2.4 Present and Future Value15m
2.5 Optimization13m
2.6 Summary2m
1 reading
PDF of Lecture Slides10m
1 practice exercise
Module 2: Linear Models and Optimization Quiz30m
Week
3

Week 3

2 hours to complete

Module 3: Probabilistic Models

2 hours to complete
12 videos (Total 83 min), 1 reading, 1 quiz
12 videos
3.2 Examples of Probabilistic Models2m
3.3 Regression Models4m
3.4 Probability Trees5m
3.5 Monte Carlo Simulations6m
3.6 Markov Chain Models6m
3.7 Building Blocks of Probability Models9m
3.8 The Bernoulli Distribution7m
3.9 The Binomial Distribution16m
3.10 The Normal Distribution5m
3.11 The Empirical Rule7m
3.12 Summary2m
1 reading
PDF of Lecture Slides10m
1 practice exercise
Module 3: Probabilistic Models Quiz30m
Week
4

Week 4

2 hours to complete

Module 4: Regression Models

2 hours to complete
8 videos (Total 70 min), 1 reading, 1 quiz
8 videos
4.2 Use of Regression Models15m
4.3 Interpretation of Regression Coefficients4m
4.4 R-squared and Root Mean Squared Error (RMSE)12m
4.5 Fitting Curves to Data8m
4.6 Multiple Regression7m
4.7 Logistic Regression8m
4.8 Summary of Regression Models4m
1 reading
PDF of Lecture Slides10m
1 practice exercise
Module 4: Regression Models Quiz30m

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