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Volver a Econometrics: Methods and Applications

Opiniones y comentarios de aprendices correspondientes a Econometrics: Methods and Applications por parte de Universidad Erasmus de Rotterdam

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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...

Principales reseñas

DT

13 de feb. de 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!

SM

29 de jul. de 2022

Best course on econometrics...the building blocks to advanced sections are well taught by dear professors. I loved every bit of it...the exercises are thought-provoking. thanks a bunch

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151 - 175 de 237 revisiones para Econometrics: Methods and Applications

por Hiras N

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24 de nov. de 2016

This course very usefull

por Mr. D Y

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27 de oct. de 2016

This course was amazing!

por Sibi A

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9 de nov. de 2015

top course for learners

por Rongrong Z

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10 de oct. de 2016

It is really helpful!

por Alí M

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26 de sep. de 2017

Bastante interesante

por Dr. R S

•

10 de sep. de 2020

Very good knowledge

por 刘紫轩

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7 de sep. de 2020

It is a best course

por Liang Z

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1 de ago. de 2020

Really nice course!

por Begey A

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22 de jun. de 2020

Best online course

por MOHAMMAD N P

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7 de dic. de 2021

very good course

por Mrinal

•

20 de jun. de 2020

Excellent course

por Armando S

•

10 de abr. de 2020

Excellent Course

por Thongchart B

•

1 de nov. de 2017

explain clearly

por Narmin A

•

23 de abr. de 2020

Perfect course

por Bjorn S

•

23 de jun. de 2019

Great course!

por Bawa J T

•

12 de jul. de 2020

great course

por mandeep k

•

28 de jul. de 2020

best course

por Dai Q

•

18 de may. de 2016

Thank you v

por Rafael H T G

•

10 de ago. de 2020

Excelllent

por Deleted A

•

20 de jun. de 2018

Thank you.

por Alizada T

•

12 de abr. de 2020

Very good

por Daniela C

•

9 de abr. de 2018

EXCELENTE

por Alejandro C

•

15 de feb. de 2017

very good

por MD W H

•

9 de ago. de 2016

Important

por Вячеслав Б

•

3 de nov. de 2015

very good

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