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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introductory-data-science-for-investing-and-trading/
课程评论：没有评论
课程名称：投资与交易的数据科学 课程概述：本课程是一个关于投资与交易的数据科学入门课程，旨在使用Python教授您三项主要技能：第一，如何从公共API（如Yahoo财经、世界银行、EUROSTAT、SEC Edgar、FINRA等）下载数据；第二，使用Python进行基本的分析，比如计算收益的均值和中值、波动率、相关性或最大回撤。在这个过程中，您将学习到pandas、numpy等库的基本命令；第三，如何使用Matplotlib、Plotly或Seaborn等库创建强大而美观的数据可视化。课程围绕这三个主要主题进行了组织，并为每个主题提供补充练习，以帮助您更好地理解相关概念。每节课都会提供一个Jupyter Notebook，便于您在自己的计算机上复现示例。对于金融分析师来说，这门课程将大有裨益，因为您可以用实用的Python脚本提升您的金融技能。这门课程同样适合希望提高生产力、改善数据处理并用强大的图表进行更具影响力演示的交易员、资产组合经理、金融顾问及其他金融专业人士。您只需具备非常基础的Python知识，只要能安装Python及其基础库，就可以参与这一课程。所以，不要犹豫，快来加入我们，开始学习吧！
This Introductory Data Science for Investing and Trading course is designed to teach you 3 main things using python: 1) Download data from public APIs such as Yahoo Finance, The World Bank, EUROSTAT, SEC Edgar, FINRA, etc. 2) Perfom some basic analytics using python, like calculating mean and median returns, volatility, correlation or maximum drawdown. Along the way you will learn basic commands for pandas, numpy and other libraries. 3) Make powerful and nice visualization for your data and calculations using libraries such as Matplotlib, Plotly or Seaborn. We have organized the course in those 3 main topics. In each of them you will have complementary exercises that will help you better understand the concepts. For each lecture we provide a jupyter notebook, so you can reproduce the examples in your computer as well. If you are a financial analyst this course will help you a lot, since you will leverage your financial skills with useful python scripts. This course can also help traders, portfolio managers, financial advisors and other financial professionals who want to increase their productivity, process data better and make more impactful presentations using powerful charts. You just need very basic python knowledge. If you know how to install python and its basic libraries you can follow this course. So, don't hesitate to jump in and start learning with us.
