This course introduces an overview of financial analytics. You will learn why, when, and how to apply financial analytics in real-world situations. You will explore techniques to analyze time series data and how to evaluate the risk-reward trade off expounded in modern portfolio theory. While most of the focus will be on the prices, returns, and risk of corporate stocks, the analytical techniques can be leverages in other domains. Finally, a short introduction to algorithmic trading concludes the course.
Applying Data Analytics in Finance伊利诺伊大学香槟分校
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
- 5 stars
- 4 stars
- 3 stars
- 2 stars
- 1 star
來自APPLYING DATA ANALYTICS IN FINANCE的熱門評論
Basics of R and other sub-topics need to be introduced before the topic is taken up in a video. Despite several ID verifications, I have not received the Course certificate till date.
I really enjoyed this course because I was able went deeper in topics that I reviewed in university but in a very slight way and now I have a more solid knowledge about that.
It is a very nice course. Very useful for learning basics of Financial Analytics. Prof. Kim's sessions were very nice.
Covers basics of time series modeling techniques and applications in R. Doesn't go deep into statistics behind models
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.