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Вернуться к Econometrics: Methods and Applications

Отзывы учащихся о курсе Econometrics: Methods and Applications от партнера Роттердамский университет им. Эразма

Оценки: 1,046
Рецензии: 230

О курсе

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...

Лучшие рецензии

13 февр. 2020 г.

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 нояб. 2015 г.

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.

Фильтр по:

76–100 из 223 отзывов о курсе Econometrics: Methods and Applications

автор: 吴高敏

4 нояб. 2017 г.

A lot basic knowledge statistics , useful course.

good for u if u have little statistics knowledge

автор: mohammed a

14 мар. 2019 г.

C'est une formation très intéressante

Grand merci équipes coursera et Erasmus Univeristy Rotterdam

автор: Jorge T M A

6 нояб. 2020 г.

I think the course is well prepared the teachers are excellence and the material is appropriate

автор: Nargiz R M

11 июля 2020 г.

This course added a special flavor to the nature of Econometric analysis! Highly recommended!

автор: José H Q B

19 июня 2020 г.

Great course, I learned a lot and is really helpful to have all the resources they give us.

автор: C.L. G

8 янв. 2021 г.

It is a good training program. A theoretical knowledge turns into practical knowledge.

автор: trilok k y

23 мая 2018 г.

Nice, clear and crisp instructions. Assignments are also well made and really helpful.

автор: Ian K

27 июля 2020 г.

'Econometrics: Methods and Applications' is a challenging and very insightful course.

автор: Marco S

23 апр. 2020 г.

Great course. It is absolutely worth to have a look. Thank you, everybody.



автор: Aman D A

30 авг. 2020 г.

The course is very rigorous with ample applications through exercises and projects

автор: LE T T T

27 июня 2019 г.

This course really laid a foundation on my research orientation. Sincerely thanks!

автор: Лопушанский Д И

16 февр. 2017 г.

It is a good material to get quite valuable knowledge in the area of econometrics

автор: Carlos S

22 мая 2016 г.

Thanks everyone that help to do this course a exemple of excellence instruction.

автор: Melissa L S M

1 дек. 2015 г.

Awesome course, it's helping me to remember all I learned in College. Thank you

автор: Huang h

8 февр. 2016 г.

Highly recommend this course! Looking forward to learn an advanced version.

автор: Deleted A

18 июня 2017 г.

Very informative and analytic. Subject to deep understanding of statistics

автор: Bolívar E Á C

27 окт. 2019 г.

Excelente curso para realizar análisis en mi trabajo e investigaciones.

автор: Sumit K

24 мая 2018 г.

Great course to learn and to apply analytics in any field of management

автор: Richard N

31 мая 2017 г.

An excellent course that helps me go back in the basics of Econometrics

автор: Yoseph M

25 апр. 2017 г.

I found it one of the Best MOOC and I am looking forward to learn more.

автор: Zhandos T

17 апр. 2021 г.

Very challenging course with lots of lectures, examples and practice

автор: Rudolf V

9 дек. 2016 г.

Good revision for me of linear regression and basic time series.

автор: Alberto E d T

8 мая 2018 г.

I think that I understand Econometrics now. Fantastic course.

автор: Scrypnychenko A

24 февр. 2016 г.

Very Good Course!

Many Thanks to course development team!