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 FinanceUniversity of Illinois at Urbana-Champaign
About this Course
What you will learn
Understand the forecasting process
Describe time series data
Develop an ARIMA Model
Understand a basic trading algorithm
Start working towards your Master's degree
Syllabus - What you will learn from this course
Module 1: Introduction to Financial Analytics and Time Series Data
Module 2: Performance Measures and Holt-Winters Model
Module 3: Stationarity and ARIMA Model
Module 4: Modern Portfolio Theory and Intro to Algorithmic Trading
- 5 stars66.15%
- 4 stars24.61%
- 3 stars3.07%
- 2 stars3.07%
- 1 star3.07%
TOP REVIEWS FROM APPLYING DATA ANALYTICS IN FINANCE
Covers basics of time series modeling techniques and applications in R. Doesn't go deep into statistics behind models
The course was upto the mark and helped me to learn data analytics Application in finance.
This is a good course for Financial professionals/students who look forward to take up a as Financial Analyst.
It is a very nice course. Very useful for learning basics of Financial Analytics. Prof. Kim's sessions were very nice.
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