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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

4.6
1,106件の評価

コースについて

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...

人気のレビュー

DT

2020年2月13日

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

2022年7月29日

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

フィルター:

Econometrics: Methods and Applications: 76 - 100 / 238 レビュー

by gauri a

2019年9月2日

As challenging as it can get! Definitely recommend for a rigorous training and understanding of econometrics

by Abhishek A

2017年3月19日

Very insightful! Does a way better job than the professors at my college at putting concepts across :)

by Dayane A

2018年9月19日

I think it is good have a link and support for download statical softwares and guidance for use are.

by Diego A P R

2016年2月1日

It is being a good experience for me, because the teachers and the structure of the course is great.

by 吴高敏

2017年11月4日

A lot basic knowledge statistics , useful course.

good for u if u have little statistics knowledge

by Mohammed A

2019年3月14日

C'est une formation très intéressante

Grand merci équipes coursera et Erasmus Univeristy Rotterdam

by Jorge T M A

2020年11月6日

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

by Nargiz R M

2020年7月11日

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

by Vaibhav C

2019年12月8日

Just be little slow. And please enjoy while teaching, otherwise there is no fun in learning.

by José H Q

2020年6月19日

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

by C.L. G

2021年1月8日

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

by trilok k y

2018年5月23日

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

by Ian K

2020年7月27日

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

by Deleted A

2020年4月23日

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

Cheers

Marco

by Sattam B K

2022年8月8日

Great course, knowledgeable instructors, and useful materials.

Thank you very much

by Aman D

2020年8月30日

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

by LE T T T

2019年6月27日

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

by Лопушанский Д И

2017年2月16日

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

by Carlos S

2016年5月22日

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

by SRISHTI S

2022年1月21日

Awesome Course! Thanks for the guidance. It was really helpful. i recommend all.

by Melissa L S M

2015年12月1日

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

by Huang h

2016年2月8日

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

by Deleted A

2017年6月18日

Very informative and analytic. Subject to deep understanding of statistics

by Bolívar E Á C

2019年10月27日

Excelente curso para realizar análisis en mi trabajo e investigaciones.

by Sumit K

2018年5月24日

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