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.
Status: Market Data
Market Data
Status: Financial Market
Financial Market
Intermediate·Course·23 hours
Featured reviews
4.0
·Reviewed May 31, 2020
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.
5.0
·Reviewed May 22, 2020
This is a good course for Financial professionals/students who look forward to take up a as Financial Analyst.
4.0
·Reviewed Apr 16, 2020
It is a very nice course. Very useful for learning basics of Financial Analytics. Prof. Kim's sessions were very nice.
5.0
·Reviewed Aug 12, 2020
A very brief and informing course. Learnt a lot in a short period of time
5.0
·Reviewed May 3, 2020
The course was upto the mark and helped me to learn data analytics Application in finance.
5.0
·Reviewed Jul 3, 2023
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.
5.0
·Reviewed May 13, 2020
Very nice combination of R programming, financial concepts and statistical concepts.
4.0
·Reviewed May 2, 2020
Covers basics of time series modeling techniques and applications in R. Doesn't go deep into statistics behind models
5.0
·Reviewed Jul 20, 2020
A very nice course for beginners and intermediates
5.0
·Reviewed Jun 26, 2020
The study has detailed information of analytics in finance
5.0
·Reviewed Sep 7, 2019
Great Course and excellent explanation by professor
5.0
·Reviewed Dec 22, 2020
Very nice course. Loved the way of teaching. Thank you so much. Best regards,Enjo
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P
Pham
1.0
·Reviewed Oct 8, 2019
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.
D
divyanshu
2.0
·Reviewed Mar 20, 2020
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!
S
Suman
5.0
·Reviewed Sep 8, 2019
Great Course and excellent explanation by professor
L
Lianghao
5.0
·Reviewed Dec 25, 2019
Useful knowledge and many skills of R code
J
Jay
5.0
·Reviewed Sep 30, 2019
i love this course, learned a lot
H
hailing
5.0
·Reviewed Oct 14, 2019
Good intro class
E
Elif
5.0
·Reviewed Oct 13, 2019
Great course!
S
Subhajyoti
2.0
·Reviewed Aug 28, 2020
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.
F
Faisal
3.0
·Reviewed Aug 29, 2020
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.
L
L
2.0
·Reviewed Jun 28, 2020
seems to gloss over much of the details
K
Kinjalk
5.0
·Reviewed Jul 4, 2023
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.
M
MARIO
5.0
·Reviewed Apr 22, 2020
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.
K
K
5.0
·Reviewed May 23, 2020
This is a good course for Financial professionals/students who look forward to take up a as Financial Analyst.
A
Abhimanyu
5.0
·Reviewed May 4, 2020
The course was upto the mark and helped me to learn data analytics Application in finance.
S
Sneha
5.0
·Reviewed May 14, 2020
Very nice combination of R programming, financial concepts and statistical concepts.
E
Enjoy
5.0
·Reviewed Dec 23, 2020
Very nice course. Loved the way of teaching. Thank you so much. Best regards,
Enjo
I
Ilhan
5.0
·Reviewed Dec 30, 2020
Very useful course, especially the application parts were amaing. Thanks a lot
K
KONE
5.0
·Reviewed Jan 7, 2021
Very nice course. But we had certain issue of run of the code in jupyter.
A
Andris
5.0
·Reviewed Aug 13, 2020
A very brief and informing course. Learnt a lot in a short period of time
J
Jubin
5.0
·Reviewed Jun 27, 2020
The study has detailed information of analytics in finance