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Learner Reviews & Feedback for Applying Data Analytics in Finance by University of Illinois at Urbana-Champaign

4.5
stars
149 ratings
29 reviews

About the Course

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....

Top reviews

K
May 22, 2020

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

AS
May 3, 2020

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

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26 - 29 of 29 Reviews for Applying Data Analytics in Finance

By 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.

By 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

By 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.

By 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.