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!
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.
автор: Alesia N•
it's a very deep course
автор: Sergio A G P•
Overall, it was a good project. The use of real datasets made the learning experience so much rich.
Pros: it is very rigurous. If one pays enough attention, it will provide the necessary knowledge to perform robust analysis. Linear regressions ara a basic algortithm. Still, most of the time people do not know how to use them properly.
Cons: the explanations are poor. The slides are sometimes quite unclear. This course would benefit a lot if it had guided implementations. Also, something that I really disliked was that the solutions for the tests (which you use to review others in peer activities) were extremely simple and vague. It seems as if they were made carelessly. From test 1, the course should instill the importance of the analysis, rather than getting the calculations correct.
Having said so, the course is great. I do recommend it for enhancing the intuition for model specification and robust analysis.
автор: Chen S•
This course is giving us useful insights, however, what it is talking about is not beginner-friendly. If there would be reading materials talking about what we can be using, it would be much better. As a beginner, it is just too hard to continue even for the first week.
автор: David O•
Good course but too challenging unless you have a background in maths. Should go slower with clearer examples.
автор: Keith S•
This course is poorly taught, leaving out almost all intuition of what's going. the lectures don't adequately describe the materials used for the exercises, which is where the large majority of the actual learning takes place, however it is often harder to parse what the questions are really asking and why they are asking these questions than than the questions themselves.
Overall I'm sure this course is technically accurate and rigorous, but I am often not sure why as the material is not remotely made interesting nor is it well explained.
"Now I invite you to train yourself by making the training exercise." has become my least favorite sentence in the English language.
The class recording could have been made simple. Lots of notations, and would definitely be difficult for people without prior econometrics background.
автор: Serge d V•
Very useful course for those who want to learn what is behind econometric tools and what their limitations are. The combination between practice and theory makes it an exciting learning experience that is worth the time investment. For those, like myself, that were not 100% up to speed at the start, a significant time investment is needed. To finish the course I had to spend in excess of 20 hours a week to satisfactorily understand the material and be able to reproduce the main takeaways. I am sure the course can be successfully completed with less effort, but grasping the essence of the material made sense to me as I am trying to get a better idea of how to use econometric tools. Conclusion: it is completely worth your time, but if you are not sufficiently well versed in math and statistics, basic college level, you will need to make a significant time investment to make full use of the material.
автор: Ke-Chung " L•
This course is great and satisfying. It's also challenging and demanding. It teaches you how to apply regression and time series to build model for forecasting real world events. It also requires you to have certain level of calculus, linear algebra and statistics to understand the underlying theory. Besides, statistics tools, like R, SPSS or Excel (of your choice), is a must for you to do exercises and projects. Studying all those videos, slides and exercise would take you many hours a week, but you will be very satisfying with modeling skills and working knowledge of time series learned from the course. Studying this course is a wonderful and unforgettable experience for me. I strongly recommend it to those who want to build a solid foundation of modeling data (not only economical data).
автор: Emanuel M•
In top three best courses on Coursera that I have taken and have gone through quite a few. It has the best exercise sheets I have seen, with actual both math and programming tasks to do and base own reports on, which are afterwards peer reviewed. The course is both theoretically and practically complete and sound for the topic, giving really good background in it. I have checked courses on this topic on other platforms and this one covers pretty much all of it and into a math debt that is enough to get a good grasp of what is going on. From then on, you have the sufficient background to continue on your own.
I can't think of a course that I would recommend more.
автор: Khiem N T•
I like the structure of the course that different professor is in charge of different chapter but the contents of each chapter are linked to the others. Each chapter offers different topic (of course) but the style and structure are the same. In detail, there are always theoretical and practical part as well as small quizzes in each chapter. In addition, the guideline and syllabus provide students with great details. On top of that, chapter assignments are provided with solution which are necessary for students to check their knowledge.
I would love to participate in follow up course which might deal with more advanced topics after this basic one.
автор: Felix C•
Great course! Theoretical material is well explained, and practical exercises are nicely tied with the theory. Optional homeworks are well-designed interesting to solve, and they too are quite helpful for the respective final assignment of each week. The time series material was a little disappointing -only passing references to ARMA model theory in full and MLE estimation for such models, but the explanation of ADL models was very good. I was very satisfied in general with the course and the work of the Instructors and the TA's who provided solutions for the homework. Recommended!
автор: Swapan K P•
The course is well-designed with daily exercises for practice, and weekly tests (7) incl. Case Study in the last week. The course indeed helped me a lot to refresh theoretical knowledge that I learned nearly 2.5 decades ago during graduation/ master degree in Statistics. It's worth trying if you are interested and comfortable with statistical software (Stata, SAS, R) or Excel with add-ins (eg RealStats). Although I use Stata on a daily basis, I solved all problems in Excel Data Analysis and RealStats add-in in order to understand each steps clearly.
автор: Alok K J•
This Course is really well communicated the important Methods and Applications. It has aspired to go in depth of Econometric, to really understand the mechanism behind the models and mathematics. Instructors are highly involved while delivering the lectures. My Best wishes to all on path of learning this course.
I pray to existence to Bless all Peace and Good Health and higher Consciousness to each Individuals ,so that we care this Beautiful World- I pray we come out of the Covid-19 as a victory over ill mind and best future.
автор: Alain P•
Very insightful about how to perform multilinear regressions, independly check relevance of each regressor, and simplify your models by eleminating unecessary regressors. Really useful hardskills, well explained by the teaching team, I recommend it.
The class could however benefit from less theory and more pragmatic advices when it comes to check relevance of regression. For instance, it should always favor sample testing over other tests, as even with 95% certainty or so, there is still 5% that your regression is not meaningful.
автор: Akshata M•
I really enjoyed this course. The instructors were really good and it is worth joining this course if you really love Economics and want to learn something new to the field. I found it slightly easier as I had a Calculus base that I had learnt in my high school. But I think those who have a good programming base will also be able to do this course and enjoy it! I really loved this course by the Erasmus University of Rotterdam and I highly recommend this course for people who love Economics
автор: Agustin G•
Really interesting and highly recommended. Okay, it is not a complete course but from my point of view it has been very useful for the design of econometric models.
Although I had previous knowledge of econometrics, not being subject to any special software, I have been able to apply my knowledge of R without problem. In fact, and from the exercises that I have corrected, this language is the most popular among students, followed by far by eViews.
автор: Venugopal B•
Very good course, not many available online courses on this subject.
Warning: Course is very fast paced (and the instructors give only broad hints as they move from 1 step to the next and it is left to us to figure out stuff - which is how it should be of course). Therefore expect to be kept busy throughout the course.
I barely had any previous knowledge on the subject, so folks with some basic understanding of the subject may have a different view
автор: Upananda P•
One of the best online course on Econometrics I have ever attended. Instructors are very clear and designed the modules in such a way that a student can get maximum out of the course. My expectation from the course is completely matched. Thanks to Coursera and instructors for providing t his innovative platform for Innovative learning experience.
автор: Jhein S•
A very comprehensive introduction to Econometrics and Statistics, in general. Although this is an introduction, this is not a watered-down version of Econometrics; you will learn a lot from the theories as well. The careful balance of theory and practice is also maintained throughout the course.
автор: Anshuman S•
Excellent faculty. The concepts from week 1 till Week 8 has been very exhaustive and worth the time.
I have learnt a lot in these 8 weeks of the course.
In the end, I would like to thank all faculty members in the course for explaining such complex concepts in a simple and easy manner.
автор: Абылайхан Т•
I am very happy that I have learned how to calculate using econometrics. In the future, I will use my skills in practice and at work, for all these works, I was very happy to learn something really new. And added new knowledge. Thank you Erasmus for such a great learning method.
автор: Vianney B B E M•
concise effort has been deployed during the course to make econometrics accessecible, comprehensible by the simplicity of the lecture presentation, by the exercices training very closed to lectures. It'was so confortable to participate to this course.
автор: Hiteshchandra T•
Good experience! Very well organised and presented, given the limitations of the MOOC format. All key topics are covered lucidly and succinctly. Maybe a follow-up course on advanced topics like Stochastic Regressors, Panel Data, etc could be offered?
автор: Gustavo R e O•
I totally recomend this course for those who are seeking to learn this challenging subject. The material presented in the course provides a great stimulous to stay on track and follow the course until the end.
автор: Raden M A•
Really great course, get your hands dirty in econometrics mathematical concept, even the assignments using softwares are challenging. Unfortunately it was plagued by cheaters who submitted plagiarized tests.