Chevron Left
Econometrics: Methods and Applications に戻る

エラスムス・ロッテルダム大学(Erasmus University Rotterdam) による Econometrics: Methods and Applications の受講者のレビューおよびフィードバック



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. If you are searching for a MOOC on econometrics of a more introductory nature that needs less background in mathematics, you may be interested in the Coursera course “Enjoyable Econometrics” that is also from Erasmus University Rotterdam. * 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...



Feb 14, 2020

Course was very well structured, pacing was very pleasant (albeit a little fast for the chapter about time series). Teachers were top notch! I had lots of fun while learning . Thank you!


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.


Econometrics: Methods and Applications: 126 - 150 / 203 レビュー

by Yuye D

Jul 19, 2019

informative and inspiring

by Abhijith K

Nov 26, 2016

excited to do this course

by Deliang Y

Dec 05, 2016

very good, comprehensive

by hiras n

Nov 24, 2016

This course very usefull

by Mr. D Y

Oct 27, 2016

This course was amazing!

by Sibi A

Nov 09, 2015

top course for learners

by Rongrong Z

Oct 10, 2016

It is really helpful!

by Alí M

Sep 27, 2017

Bastante interesante

by Rajeev K S

Sep 11, 2020

Very good knowledge

by 刘紫轩

Sep 07, 2020

It is a best course

by Liang Z

Aug 02, 2020

Really nice course!

by Begey A

Jun 22, 2020

Best online course

by Mrinal

Jun 20, 2020

Excellent course

by Armando S

Apr 10, 2020

Excellent Course

by Thongchart B

Nov 01, 2017

explain clearly

by Narmin A

Apr 23, 2020

Perfect course

by Bjorn S

Jun 23, 2019

Great course!

by Bawa J T

Jul 12, 2020

great course

by mandeep k

Jul 28, 2020

best course

by Dai Q

May 18, 2016

Thank you v

by Rafael H T G

Aug 10, 2020


by Dimitrios B

Jun 20, 2018

Thank you.

by Alizada T

Apr 12, 2020

Very good

by Daniela C

Apr 09, 2018


by Alejandro C

Feb 15, 2017

very good