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. After completing this course, you should be able to understand time series data, create forecasts, and determine the efficacy of the estimates. Also, you will be able to create a portfolio of assets using actual stock price data while optimizing risk and reward. Understanding financial data is an important skill as an analyst, manager, or consultant.
K
This is a good course for Financial professionals/students who look forward to take up a as Financial Analyst.
SG
Very nice combination of R programming, financial concepts and statistical concepts.
EE
Very nice course. Loved the way of teaching. Thank you so much. Best regards,Enjo
MK
It is a very nice course. Very useful for learning basics of Financial Analytics. Prof. Kim's sessions were very nice.
AT
A very brief and informing course. Learnt a lot in a short period of time
KP
The course delivers what it promises. Although R is not necessary to advance through the course, you can still learn a few things as you go and be well-equipped to move forward.
AS
The course was upto the mark and helped me to learn data analytics Application in finance.
SD
Great Course and excellent explanation by professor
LG
A very nice course for beginners and intermediates
JS
The study has detailed information of analytics in finance
DR
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.
VG
Covers basics of time series modeling techniques and applications in R. Doesn't go deep into statistics behind models
显示：20/43
The course went too fast, even for someone who has a master in signal processing. Assignments and quizzes were designed to trick students, there were typos here and there in quizzes, too, which costed students a lot of time.
There is no intuition, no mathematics mentioned behind whatever is taught in the course. My whole point of taking this course was to learn a little more than what I already know, and supplement my knowledge.
I chose to stop learning this course half way. Thanks!
Great Course and excellent explanation by professor
Useful knowledge and many skills of R code
i love this course, learned a lot
Good intro class
Great course!
While this course attempts to cover important aspects of financial analytics and time series models but it ends up extensively being a programming course with only briefly touching the theory or practical use cases. If you are looking a a programming course for financial analytics then this is not the one. Also the lab exercises in coursera are cumbersome to complete and often has technical issues which makes the learning experience counterproductive.
the selection of topics was fine, but were discussed in very little detail. which makes it tough to apply them practically. Many functions of R language were not discussed had to google it which worsens the overall experience.
seems to gloss over much of the details
The course delivers what it promises. Although R is not necessary to advance through the course, you can still learn a few things as you go and be well-equipped to move forward.
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.
This is a good course for Financial professionals/students who look forward to take up a as Financial Analyst.
The course was upto the mark and helped me to learn data analytics Application in finance.
Very nice combination of R programming, financial concepts and statistical concepts.
Very nice course. Loved the way of teaching. Thank you so much. Best regards,
Enjo
Very useful course, especially the application parts were amaing. Thanks a lot
Very nice course. But we had certain issue of run of the code in jupyter.
A very brief and informing course. Learnt a lot in a short period of time
The study has detailed information of analytics in finance