Applying Data Analytics in Finance

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课程主页: https://www.coursera.org/archive/applying-data-analytics-business-in-finance

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课程大纲

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

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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.

在财务中应用数据分析:本课程概述了财务分析。您将了解为什么,何时以及如何在实际情况下应用财务分析。您将探索分析时间序列数据的技术,以及如何评估现代投资组合理论中阐述的风险与收益的权衡。尽管大多数重点将放在公司股票的价格,回报和风险上,但分析技术可以在其他领域发挥作用。最后,简短介绍算法交易即可完成本课程。 完成本课程后,您应该能够理解时间序列数据,创建预测并确定估计的功效。同样,您将能够使用实际股价数据来创建资产组合,同时优化风险和回报。理解财务数据是作为分析师,经理或顾问的一项重要技能。

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