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学生对 伊利诺伊大学香槟分校 提供的 Applying Data Analytics in Finance 的评价和反馈

184 个评分
36 条评论


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....


May 22, 2020

This is a good course for Financial professionals/students who look forward to take up a as Financial Analyst.

May 3, 2020

The course was upto the mark and helped me to learn data analytics Application in finance.


26 - Applying Data Analytics in Finance 的 37 个评论(共 37 个)

创建者 Priyadarshini S

Jul 8, 2020

Amazing course

创建者 khyati s

Aug 19, 2020

nice course

创建者 Ashish o

Mar 24, 2020

Good course

创建者 Arihant j

Feb 8, 2021


创建者 D S R

Jun 1, 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.

创建者 M A K

Apr 17, 2020

It is a very nice course. Very useful for learning basics of Financial Analytics. Prof. Kim's sessions were very nice.

创建者 Varun T G

May 3, 2020

Covers basics of time series modeling techniques and applications in R. Doesn't go deep into statistics behind models

创建者 Bhanu P B

Aug 28, 2021

i really like this course and learned a lot thankyou.


Jul 5, 2021

Good Course

创建者 Faisal n K

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.

创建者 Osaivbie O

Jun 2, 2021

Should be stated one has to have a prior knowledge

创建者 Tom B

Sep 7, 2020

Totally disjointed from the rest of the coursework and the specialty in general. I would not take this course unless you are working specifically in data analytics (and R). From an MBA perspective it is not a good course or a good specialty. Very poorly put together.