Acerca de este Curso
4.6
676 calificaciones
140 revisiones
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Horas para completar

Aprox. 31 horas para completar

Sugerido: 7 weeks of study, 4-8 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

Linear RegressionTime SeriesEconometricsRegression Analysis
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Horas para completar

Aprox. 31 horas para completar

Sugerido: 7 weeks of study, 4-8 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
Horas para completar
29 minutos para completar

Welcome Module

Welcome! Do you wish to know how to analyze and solve business and economic questions with data analysis tools? Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making. What do I learn? When you know econometrics, you are able to translate data into models to make forecasts and to support decision making in a wide variety of fields, ranging from macroeconomics to finance and marketing. Our course starts with introductory lectures on simple and multiple regression, followed by topics of special interest to deal with model specification, endogenous variables, binary choice data, and time series data. You learn these key topics in econometrics by watching the videos with in-video quizzes and by making post-video training exercises. Do I need prior knowledge? The course is suitable for (advanced undergraduate) students in economics, finance, business, engineering, and data analysis, as well as for those who work in these fields. The course requires some basics of matrices, probability, and statistics, which are reviewed in the Building Block module. Will there be teaching assistants active to guide me through the course? We advise you to connect with fellow learners of this course to discuss topics and exercises. Staff of our Econometric Institute provides guidance in January and February of each year. In 2016, the guidance period will start at Monday January 4 and end at Friday February 26. How will I get a certificate? To gain the certificate of this course, you are asked to make six Test Exercises (one per module) and a Case Project. Further, you perform peer-reviewing activities of the work of three of your fellow learners of this MOOC. You gain the certificate if your average grade score is at least 50%. Have a nice journey into the world of Econometrics! The Econometrics team ...
Reading
2 videos (Total 9 min), 2 readings
Video2 videos
About this course5m
Reading2 lecturas
Course Guide - Structure of the MOOC10m
Course Guide - Further information10m
Horas para completar
8 horas para completar

Simple Regression

...
Reading
5 videos (Total 39 min), 11 readings, 1 quiz
Video5 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
Reading11 lecturas
Dataset Simple Regression10m
Training Exercise 1.1m
Solution Training Exercise 1.110m
Training Exercise 1.2m
Solution Training Exercise 1.210m
Training Exercise 1.3m
Solution Training Exercise 1.310m
Training Exercise 1.4m
Solution Training Exercise 1.410m
Training Exercise 1.5m
Solution Training Exercise 1.510m
Semana
2
Horas para completar
9 horas para completar

Multiple Regression

...
Reading
6 videos (Total 45 min), 13 readings, 1 quiz
Video6 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
Reading13 lecturas
Dataset Multiple Regression10m
Training Exercise 2.1m
Solution Training Exercise 2.110m
Training Exercise 2.2m
Solution Training Exercise 2.210m
Training Exercise 2.3m
Solution Training Exercise 2.310m
Training Exercise 2.4.1m
Solution Training Exercise 2.4.110m
Training Exercise 2.4.2m
Solution Training Exercise 2.4.210m
Training Exercise 2.5m
Solution Training Exercise 2.510m
Semana
3
Horas para completar
8 horas para completar

Model Specification

...
Reading
5 videos (Total 41 min), 11 readings, 1 quiz
Video5 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
Reading11 lecturas
Dataset Model Specification10m
Training Exercise 3.1m
Solution Training Exercise 3.110m
Training Exercise 3.2m
Solution Training Exercise 3.210m
Training Exercise 3.3m
Solution Training Exercise 3.310m
Training Exercise 3.4m
Solution Training Exercise 3.410m
Training Exercise 3.5m
Solution Training Exercise 3.510m
Semana
4
Horas para completar
8 horas para completar

Endogeneity

...
Reading
5 videos (Total 44 min), 11 readings, 1 quiz
Video5 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
Reading11 lecturas
Dataset Endogeneity10m
Training Exercise 4.1m
Solution Training Exercise 4.110m
Training Exercise 4.2m
Solution Training Exercise 4.210m
Training Exercise 4.3m
Solution Training Exercise 4.310m
Training Exercise 4.4m
Solution Training Exercise 4.410m
Training Exercise 4.5m
Solution Training Exercise 4.510m
4.6
140 revisionesChevron Right
Dirección de la carrera

33%

comenzó una nueva carrera después de completar estos cursos
Beneficio de la carrera

83%

consiguió un beneficio tangible en su carrera profesional gracias a este curso
Promoción de la carrera

25%

consiguió un aumento de sueldo o ascenso

Principales revisiones

por JJNov 16th 2015

The design of the course is very Helpful and efficient. The course is well explained. The instructors are very clear and master the subject. They very detailed and well organized.

por TMJun 9th 2016

Very practical, I would urge people who intend to take this course to come to this course with at least some knowledge of econometrics and statistics. It would come in handy.

Instructores

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Philip Hans Franses

Prof. Dr.
Econometric Institute, Erasmus School of Economics
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Christiaan Heij

Dr.
Econometric Institute, Erasmus School of Economics
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Michel van der Wel

Dr.
Econometric Institute, Erasmus School of Economics
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Dennis Fok

Prof. Dr.
Econometric Institute, Erasmus School of Economics
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Richard Paap

Prof. Dr.
Econometric Institute, Erasmus School of Economics
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Dick van Dijk

Prof. Dr.
Econometric Institute, Erasmus School of Economics
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Erik Kole

Dr.
Econometric Institute, Erasmus School of Economics
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Francine Gresnigt

PhD candidate
Econometric Institute, Erasmus School of Economics
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Myrthe van Dieijen

PhD candidate
Econometric Institute, Erasmus School of Economics

Acerca de Erasmus University Rotterdam

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Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando compras un Certificado, obtienes acceso a todos los materiales del curso, incluidas las tareas calificadas. Una vez que completes el curso, se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes participar del curso como oyente sin costo.

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