Learn mathematical and statistical tools and techniques used in quantitative and computational finance. Use the open source R statistical programming language to analyze financial data, estimate statistical models, and construct optimized portfolios. Analyze real world data and solve real world problems.
This course is really good for introductory econometric. If you listen to the lectures and work the problems it gives a basic understanding and knowledge. Prof is very knowledgeable . The lecture video is of poor quality and unreadable slides. Looks like not enough effort taken like other coursera courses. Also more problems based on R specific programming could be better instead of problems which can be solved by any other matlab or python softwares. The deadlines are too hard for an online study especially with work family and extra studies (assignment , midterm, and final). Lack of statement of Accomplishment is not motivating for candidates to be enrolled. I just see University of washington wants to be part of coursera to prove they are good as any other top tier university and a bait for more students to pay money and enroll at UW online program. Bottom line if You want to increase your knowledge you should take this course since knowledge is served free. It just makes it hard to take this course seriously like other coursera courses.
Information packed class. Professor Zivot has a great deal of knowledge in this field. Unfortunately, video quality if horrible. Slides often unreadable. I think it's a general unwillingness of UW to provide a high quality free online classes. It could be a great class, but not at the current production.
A well done introduction to econometrics. I learned a lot. The lectures were well done and on time. One problem was that the problem sets were just too easy, especially the labs. Since the labs were preprogrammed, we merely had to press run and answer the questions. It would have been more instructive to actually have to some programming in R to answer the questions. An initial skeleton of the program which we would have to fill in would have worked much better.