Applying Data Analytics in Finance

Coursera MOOC / Non-credit USD 79
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Applying Data Analytics in Finance

About this 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.

What you'll learn

  • understand time series data
  • create forecasts
  • evaluate risk-reward trade-offs
  • build asset portfolios
  • apply financial analytics techniques

Course objectives

  • provide an overview of financial analytics
  • explore analytical techniques relevant to corporate stocks
  • introduce algorithmic trading concepts

Skills you'll gain

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