This project will shwcase my skills in real world Financial Analytics. Here I'll be analyzing time series data, creating forecasts, and determining the efficacy of the estimates. I will also be creating a portfolio of assets using actual stock price data while optimizing risk and reward
Syllabus Applying Data Analytics in Finance Course Description In this course, we will introduce a number of financial analytic techniques. You will learn why, when, and how to apply financial analytics in real-world situations. We 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 risks of corporate stocks, the analytical techniques can be leveraged 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.
Course Goals and Objectives Upon completion of this course, you should be able to:
Understand the forecasting process.
Evaluate a forecast.
Describe time series data.
Perform moving average analysis.
Perform exponential smoothing.
Develop a Holt-Winters model.
Develop an ARIMA model.
Understand how to create a portfolio of assets.
Understand a basic trading algorithm.