À propos de ce cours
4.6
686 notes
142 avis
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Heures pour terminer

Approx. 31 heures pour terminer

Recommandé : 7 weeks of study, 4-8 hours/week...
Langues disponibles

Anglais

Sous-titres : Anglais

Compétences que vous acquerrez

Linear RegressionTime SeriesEconometricsRegression Analysis
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Heures pour terminer

Approx. 31 heures pour terminer

Recommandé : 7 weeks of study, 4-8 hours/week...
Langues disponibles

Anglais

Sous-titres : Anglais

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
Heures pour terminer
29 minutes pour terminer

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 vidéos (Total 9 min), 2 lectures
Video2 vidéos
About this course5 min
Reading2 lectures
Course Guide - Structure of the MOOC10 min
Course Guide - Further information10 min
Heures pour terminer
8 heures pour terminer

Simple Regression

...
Reading
5 vidéos (Total 39 min), 11 lectures, 1 quiz
Video5 vidéos
Lecture 1.2 on Simple Regression: Representation7 min
Lecture 1.3 on Simple Regression: Estimation7 min
Lecture 1.4 on Simple Regression: Evaluation8 min
Lecture 1.5 on Simple Regression: Application6 min
Reading11 lectures
Dataset Simple Regression10 min
Training Exercise 1.1s
Solution Training Exercise 1.110 min
Training Exercise 1.2s
Solution Training Exercise 1.210 min
Training Exercise 1.3s
Solution Training Exercise 1.310 min
Training Exercise 1.4s
Solution Training Exercise 1.410 min
Training Exercise 1.5s
Solution Training Exercise 1.510 min
Semaine
2
Heures pour terminer
9 heures pour terminer

Multiple Regression

...
Reading
6 vidéos (Total 45 min), 13 lectures, 1 quiz
Video6 vidéos
Lecture 2.2 on Multiple Regression: Representation9 min
Lecture 2.3 on Multiple Regression: Estimation8 min
Lecture 2.4.1 on Multiple Regression: Evaluation - Statistical Properties8 min
Lecture 2.4.2 on Multiple Regression: Evaluation - Statistical Tests5 min
Lecture 2.5 on Multiple Regression: Application9 min
Reading13 lectures
Dataset Multiple Regression10 min
Training Exercise 2.1s
Solution Training Exercise 2.110 min
Training Exercise 2.2s
Solution Training Exercise 2.210 min
Training Exercise 2.3s
Solution Training Exercise 2.310 min
Training Exercise 2.4.1s
Solution Training Exercise 2.4.110 min
Training Exercise 2.4.2s
Solution Training Exercise 2.4.210 min
Training Exercise 2.5s
Solution Training Exercise 2.510 min
Semaine
3
Heures pour terminer
8 heures pour terminer

Model Specification

...
Reading
5 vidéos (Total 41 min), 11 lectures, 1 quiz
Video5 vidéos
Lecture 3.2 on Model Specification: Specification9 min
Lecture 3.3 on Model Specification: Transformation8 min
Lecture 3.4 on Model Specification: Evaluation8 min
Lecture 3.5 on Model Specification: Application9 min
Reading11 lectures
Dataset Model Specification10 min
Training Exercise 3.1s
Solution Training Exercise 3.110 min
Training Exercise 3.2s
Solution Training Exercise 3.210 min
Training Exercise 3.3s
Solution Training Exercise 3.310 min
Training Exercise 3.4s
Solution Training Exercise 3.410 min
Training Exercise 3.5s
Solution Training Exercise 3.510 min
Semaine
4
Heures pour terminer
8 heures pour terminer

Endogeneity

...
Reading
5 vidéos (Total 44 min), 11 lectures, 1 quiz
Video5 vidéos
Lecture 4.2 on Endogeneity: Consequences8 min
Lecture 4.3 on Endogeneity: Estimation8 min
Lecture 4.4 on Endogeneity: Testing7 min
Lecture 4.5 on Endogeneity: Application9 min
Reading11 lectures
Dataset Endogeneity10 min
Training Exercise 4.1s
Solution Training Exercise 4.110 min
Training Exercise 4.2s
Solution Training Exercise 4.210 min
Training Exercise 4.3s
Solution Training Exercise 4.310 min
Training Exercise 4.4s
Solution Training Exercise 4.410 min
Training Exercise 4.5s
Solution Training Exercise 4.510 min
4.6
142 avisChevron Right
Orientation de carrière

29%

a commencé une nouvelle carrière après avoir terminé ces cours
Avantage de carrière

30%

a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
Promotion de carrière

20%

a obtenu une augmentation de salaire ou une promotion

Meilleurs avis

par 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.

par 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.

Enseignants

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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

À propos de Erasmus University Rotterdam

Erasmus University: a top-100 ranked international research university based in Rotterdam, the Netherlands. Our academic teaching and research focuses on four areas: health, wealth, culture and governance. Erasmus University Rotterdam: make it happen. ...

Foire Aux Questions

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous achetez un Certificat, vous bénéficiez d'un accès à tout le contenu du cours, y compris les devoirs notés. Lorsque vous avez terminé et réussi le cours, votre Certificat électronique est ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

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