Chevron Left
Econometrics: Methods and Applications に戻る

Econometrics: Methods and Applications, エラスムス・ロッテルダム大学(Erasmus University Rotterdam)

(726 件の評価)


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 Blocks module. * What literature can I consult to support my studies? You can follow the MOOC without studying additional sources. Further reading of the discussed topics (including the Building Blocks) is provided in the textbook that we wrote and on which the MOOC is based: Econometric Methods with Applications in Business and Economics, Oxford University Press. The connection between the MOOC modules and the book chapters is shown in the Course Guide – Further Information – How can I continue my studies. * Will there be teaching assistants active to guide me through the course? Staff and PhD students of our Econometric Institute will provide guidance in January and February of each year. In other periods, we provide only elementary guidance. We always advise you to connect with fellow learners of this course to discuss topics and exercises. * 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 you pass all seven assignments. Have a nice journey into the world of Econometrics! The Econometrics team...


by JJ

Nov 16, 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.

by TM

Jun 09, 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.



by Alfonso Bravo Molina

May 20, 2019

Great. Applied knowledge focus.


May 13, 2019

Very good insights and step by step methods.

It is more theoretical (manual calculations of different methods) than applied and should be completed by another course for this matter.

by Nishikant Cadambi

May 07, 2019

Very Good Course. However, The exercises were a bit challenging . Walk through of related examples would have helped a lot for the exercises.

Does require some mathematical background in Statistics. Intermediate to advanced course considering the complexity

by Alain Pasqualini

Mar 23, 2019

Very insightful about how to perform multilinear regressions, independly check relevance of each regressor, and simplify your models by eleminating unecessary regressors. Really useful hardskills, well explained by the teaching team, I recommend it.

The class could however benefit from less theory and more pragmatic advices when it comes to check relevance of regression. For instance, it should always favor sample testing over other tests, as even with 95% certainty or so, there is still 5% that your regression is not meaningful.

by mohammed aherfoune

Mar 14, 2019

C'est une formation très intéressante

Grand merci équipes coursera et Erasmus Univeristy Rotterdam


Feb 07, 2019

Excellent learning , though some hands on practice on tools like R and other software should also be made the part of the course.

by quangngu

Jan 21, 2019

There was a drastic increase in difficulty in week 6 and 7 from the rest of the course.

by Christian Kaps

Jan 09, 2019

Depending on what you are looking for, this course might be too theoretic or mot theoretic enough:) IMHO it strikes the balamce quite nicely, although the forced theoretical parts in the tests kept me from buying the certificate. I simply want to be able to perform the analysis.

by Alesia Nakipava

Jan 06, 2019

it's a very deep course

by Axel-Cleris Gailloty

Nov 21, 2018

I love this course. I'm a student in Economics and I took this course to have a complementary view to other econometric courses I have in my program; your explanations are good and intuitive. Thanks