Applying Data Analytics in Finance

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Course overview

Provider
Coursera
Course type
Free online course
Level
Intermediate
Deadline
Flexible
Duration
23 hours
Certificate
Paid Certificate Available
Course author
Sung Won Kim
  • Understand the forecasting process

  • Describe time series data

  • Develop an ARIMA Model

  • Understand a basic trading algorithm

Description

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.

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Project Planning
Coursera
  • Flexible deadline
  • 14 hours
  • Certificate
Applying Data Analytics in Finance
  • English language

  • Recommended provider

  • Certificate available