About this Course

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Learner Career Outcomes

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started a new career after completing these courses

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got a tangible career benefit from this course

11%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
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Start instantly and learn at your own schedule.
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Approx. 66 hours to complete
English

Skills you will gain

Linear RegressionTime SeriesEconometricsRegression Analysis

Learner Career Outcomes

40%

started a new career after completing these courses

31%

got a tangible career benefit from this course

11%

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. 66 hours to complete
English

Offered by

Placeholder

Erasmus University Rotterdam

Syllabus - What you will learn from this course

Content RatingThumbs Up95%(11,685 ratings)Info
Week
1

Week 1

29 minutes to complete

Welcome Module

29 minutes to complete
2 videos (Total 9 min), 2 readings
2 videos
About this course5m
2 readings
Course Guide - Structure of the MOOC10m
Course Guide - Further information10m
8 hours to complete

Simple Regression

8 hours to complete
5 videos (Total 39 min), 11 readings, 1 quiz
5 videos
Lecture 1.2 on Simple Regression: Representation7m
Lecture 1.3 on Simple Regression: Estimation7m
Lecture 1.4 on Simple Regression: Evaluation8m
Lecture 1.5 on Simple Regression: Application6m
11 readings
Dataset Simple Regression10m
Training Exercise 1.11h
Solution Training Exercise 1.110m
Training Exercise 1.21h
Solution Training Exercise 1.210m
Training Exercise 1.31h
Solution Training Exercise 1.310m
Training Exercise 1.41h
Solution Training Exercise 1.410m
Training Exercise 1.51h
Solution Training Exercise 1.510m
Week
2

Week 2

9 hours to complete

Multiple Regression

9 hours to complete
6 videos (Total 45 min), 13 readings, 1 quiz
6 videos
Lecture 2.2 on Multiple Regression: Representation9m
Lecture 2.3 on Multiple Regression: Estimation8m
Lecture 2.4.1 on Multiple Regression: Evaluation - Statistical Properties8m
Lecture 2.4.2 on Multiple Regression: Evaluation - Statistical Tests5m
Lecture 2.5 on Multiple Regression: Application9m
13 readings
Dataset Multiple Regression10m
Training Exercise 2.11h
Solution Training Exercise 2.110m
Training Exercise 2.21h
Solution Training Exercise 2.210m
Training Exercise 2.31h
Solution Training Exercise 2.310m
Training Exercise 2.4.11h
Solution Training Exercise 2.4.110m
Training Exercise 2.4.21h
Solution Training Exercise 2.4.210m
Training Exercise 2.51h
Solution Training Exercise 2.510m
Week
3

Week 3

8 hours to complete

Model Specification

8 hours to complete
5 videos (Total 41 min), 11 readings, 1 quiz
5 videos
Lecture 3.2 on Model Specification: Specification9m
Lecture 3.3 on Model Specification: Transformation8m
Lecture 3.4 on Model Specification: Evaluation8m
Lecture 3.5 on Model Specification: Application9m
11 readings
Dataset Model Specification10m
Training Exercise 3.11h
Solution Training Exercise 3.110m
Training Exercise 3.21h
Solution Training Exercise 3.210m
Training Exercise 3.31h
Solution Training Exercise 3.310m
Training Exercise 3.41h
Solution Training Exercise 3.410m
Training Exercise 3.51h
Solution Training Exercise 3.510m
Week
4

Week 4

8 hours to complete

Endogeneity

8 hours to complete
5 videos (Total 44 min), 11 readings, 1 quiz
5 videos
Lecture 4.2 on Endogeneity: Consequences8m
Lecture 4.3 on Endogeneity: Estimation8m
Lecture 4.4 on Endogeneity: Testing7m
Lecture 4.5 on Endogeneity: Application9m
11 readings
Dataset Endogeneity10m
Training Exercise 4.11h
Solution Training Exercise 4.110m
Training Exercise 4.21h
Solution Training Exercise 4.210m
Training Exercise 4.31h
Solution Training Exercise 4.310m
Training Exercise 4.41h
Solution Training Exercise 4.410m
Training Exercise 4.51h
Solution Training Exercise 4.510m

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