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Kursteilnehmer-Bewertung und -Feedback für Econometrics: Methods and Applications von Erasmus University Rotterdam

1,010 Bewertungen
215 Bewertungen

Über den Kurs

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...


13. Feb. 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!

15. Nov. 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.

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126 - 150 von 208 Bewertungen für Econometrics: Methods and Applications

von Filip N

5. Mai 2016

Good and challenging course.

von Niraj P

21. Dez. 2015

One of my best Moocs course.

von Zhang Q

18. Juli 2017

Very helpful to me, thanks!

von Danilo C P

10. Feb. 2017

Really insightfull course.

von Yuye D

4. Nov. 2020

informative and inspiring

von Kakumanu A

26. Nov. 2016

excited to do this course

von Deliang Y

5. Dez. 2016

very good, comprehensive

von hiras n

23. Nov. 2016

This course very usefull

von Mr. D Y

27. Okt. 2016

This course was amazing!

von Sibi A

8. Nov. 2015

top course for learners

von Rongrong Z

10. Okt. 2016

It is really helpful!

von Alí M

26. Sep. 2017

Bastante interesante

von Rajeev S

10. Sep. 2020

Very good knowledge

von 刘紫轩

7. Sep. 2020

It is a best course

von alm z

1. Aug. 2020

Really nice course!

von Begey A

22. Juni 2020

Best online course

von Mrinal

20. Juni 2020

Excellent course

von Armando S

10. Apr. 2020

Excellent Course

von Thongchart B

1. Nov. 2017

explain clearly

von Narmin A

23. Apr. 2020

Perfect course

von Bjorn S

23. Juni 2019

Great course!

von Bawa J T

12. Juli 2020

great course

von mandeep k

27. Juli 2020

best course

von Dai Q

18. Mai 2016

Thank you v

von Métrica C

10. Aug. 2020