Chevron Left
返回到 Econometrics: Methods and Applications

学生对 Erasmus University Rotterdam 提供的 Econometrics: Methods and Applications 的评价和反馈

4.6
1,227 个评分

课程概述

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...

热门审阅

DT

Feb 13, 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!

JJ

Nov 15, 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.

筛选依据:

226 - Econometrics: Methods and Applications 的 250 个评论(共 265 个)

创建者 Adrienn K

May 13, 2019

Very good insights and step by step methods.

It is more theoretical (manual calculations of different methods) than applied and should be completed by another course for this matter.

创建者 Sriharsha G

Feb 26, 2016

It is a very good course I guess, but being 15 years old, it didn't make any sense.

However, I got to learn a lot of new things about a field which I wish to pursue.

创建者 Yiming C

Jun 4, 2018

Good course, I would recommend people who have basic knowledge about statistics and linear algebra take this course if the topic of econometrics interest you.

创建者 Sing L

Oct 12, 2017

the video seems fast-forwarded, which makes it quite difficult to follow. not sure if it's only my personal feel of it. otherwise the content were great.

创建者 souvik g

Aug 26, 2020

Great beginners course. Should be backed by readings. Exercises are awesome especially the building blocks. Looking forward to a more advanced course.

创建者 Anand Y

Jan 17, 2016

More focus should be given on application part in initial modules vs. derivation. Also, the presentation can be made a bit more simple to understand.

创建者 Naim

Aug 15, 2017

This course is really good for recapping what you have learned before. It would be a difficult course if you start it without previous background.

创建者 Francesco

Jul 23, 2017

Some stuff are treated briefly but overall is a good MOOC, well organized and gives good hints to deal with econometrics problems.

创建者 Andrey P

Jan 14, 2018

I'd be happy to have more practical excersises during the course instead/together with formula transformation tasks.

创建者 Fernando M

Nov 23, 2017

Very nice MOOC. Found it a little too theorical, but it was very usefull to put in practice my econometrics skills.

创建者 Maithili M

Nov 12, 2017

Very informative and technically coherent.

My only suggestion would be to provide software codes with solution.

创建者 Utkarsh A

Mar 17, 2017

The level of this course is high. It's better to take a basic course on Econometrics and then take up this.

创建者 quangngu

Jan 21, 2019

There was a drastic increase in difficulty in week 6 and 7 from the rest of the course.

创建者 Victor O

Nov 24, 2021

More about mathematical applications than econometrics.

创建者 James Z

Feb 10, 2017

Lecture materials are very rich and well organized.

创建者 Christian H

Nov 19, 2016

It is a good course, but a bit short in my opinion

创建者 Upmanyu B

Feb 22, 2016

Awesome, helped me alot! Thanks MOOC cordinatiors.

创建者 gao f

Nov 23, 2016

many mistakes in the exercise solutions

创建者 Alfonso B M

May 20, 2019

Great. Applied knowledge focus.

创建者 Nikhil K

Apr 5, 2020

Less practicals involved

创建者 Ines

Dec 19, 2021

where is my certificate

创建者 Anh N

May 19, 2016

Excellent Course!

创建者 ayushman g

Dec 8, 2015

nicely explained.

创建者 Joshua G

Jul 12, 2025

Positive: This is a very good course — the content is rich and well-structured, and you can learn a lot. However, it is definitely not a course for those without prior knowledge of differential calculus and linear algebra. Some mathematical background is necessary to follow along effectively. Negative: One aspect I didn’t particularly enjoy was having to review and grade other students’ assignments. While that part is tolerable, having to peer review and evaluate the final exam is, frankly, unreasonable. I understand there are guidance videos for peer grading, but where is the instructor? Are we being compensated for the time we spend grading not just homework, but also final exams? Don’t get me wrong — I’m not asking to be paid — my point is that a final exam should at the very least be reviewed and evaluated by a qualified instructor. It doesn't make sense that another student, potentially with less understanding than me, gets to grade my final exam. It’s ridiculous that I am expected to be both the student and the teacher at the same time.

创建者 Murray S

Oct 5, 2020

I was somewhat disappointed with the quality of the solutions to the test exercises and the case project, which were handwritten and provided little in the way of further guidance about the solutions. I would have expected a more polished product. I think the course might also benefit from providing suggestions for further reading on certain subject or links to online resources that the student could refer to.