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所在平台: Udemy |
课程主页: https://www.udemy.com/course/finance-data-with-python-and-pandas/
课程评论：没有评论
课程名称：使用Python和Pandas管理金融数据：独特的大师班 课程概述：本课程经过全面更新（预计将于2024年11月推出Pandas 3.x），并增加了ChatGPT与Pandas和数据分析以及在线编码练习的结合！金融与投资行业正在经历剧变，受到处理能力增强和强大的机器学习工具引入的推动。行业正在从一个以数学和公式为基础的商业模式转向一个以数据驱动的商业模式。您将如何跟上这股潮流？无论您是希望深入机器学习，还是想在处理金融数据时提高工作效率，第一步都是：告别Excel，使用Python和Pandas来管理您的金融数据！ Pandas是Python的Excel，学习Pandas和学习Excel几乎一样简单。尽管Pandas在初看时可能显得复杂，但它提供了更多的功能。您习惯于使用Excel进行的工作流程可以更高效地在Pandas中完成。Pandas是一个高级编码库，后台自动运行大量代码的硬核部分，通常只需一行代码即可完成操作。因此，学习和掌握Pandas非常重要，您需要了解操作的过程，意识到潜在的陷阱及最佳实践。《管理金融数据与Python和Pandas》课程将帮助您应对新挑战，保持领先于同行和竞争对手！使用Python/Pandas编码是金融行业需求最旺盛的技能之一。这门课程是Udemy上最实用的课程之一，包含200个编码练习和一个最终项目。您可以根据个人能力选择难度。 课程结构： - 第一部分：对Pandas的基础知识进行全面介绍（从零到英雄）。 - 第二部分：核心内容，包括从网络和文件中导入金融数据、计算股票和投资组合的风险与回报、创建自定义金融指数、理解价格回报与总回报的区别、计算夏普比率等。 - 第三部分：顶点项目，将扮演金融分析师的角色，为客户的投资组合提供建议。 - 第四部分：高级主题，重点是如何用Pandas处理时间序列数据。 附录：如果您对基本的Python/Numpy概念感到困惑，这里会提供您需要知道的所有内容。 为什么选择这门课程？我的职业生涯中，我在金融与编码两个领域累积了丰富的专业知识与经验，拥有10年的金融投资行业从业经验，并且已完成所有三门CFA考试。欢迎你加入课程，并利用30天无风险的退款保证。期待在课程中见到您！
**Fully Updated (anticipating Pandas 3.x) in November 2024****Now with ChatGPT for Pandas & Data Analytics and Online Coding Exercises!** The Finance and Investment Industry is experiencing a dramatic change driven by ever-increasing processing power & connectivity and the introduction of powerful Machine Learning tools. The Finance and Investment Industry is more and more shifting from a math/formula-based business to a data-driven business.What can you do to keep pace?No matter if you want to dive deep into Machine Learning, or if you simply want to increase productivity at work when handling Financial Data, there is the very first and most important step: Leave Excel behind and manage your Financial Data with Python and Pandas! Pandas is the Excel for Python and learning Pandas from scratch is almost as easy as learning Excel. Pandas seems to be more complex at a first glance, as it simply offers so much more functionalities. The workflows you are used to do with Excel can be done with Pandas more efficiently. Pandas is a high-level coding library where all the hardcore coding stuff with dozens of coding lines are running automatically in the background. Pandas operations are typically done in one line of code! However, it is important to learn and master Pandas in a way that you understand what is going on you are aware of the pitfalls (Don´ts)you know best practices (Dos) MANAGE FINANCE DATA WITH PYTHON & PANDAS best prepares you to master new challenges and to stay ahead of your peers, fellows and competitors! Coding with Python/Pandas is one of the most in-demand skills in Finance.This course is one of the most practical courses on Udemy with 200 Coding Exercises and a Final Project. You are free to select your individual level of difficulty. If you have no experience with Pandas at all, Part 1 will teach you all the essentials (From Zero to Hero).Part 2 - The Core of this CourseImport Financial Data from Free Web Sources, Excel- and CSV-FilesCalculate Risk, Return, and Correlation of Stocks, Indexes and PortfoliosCalculate simple Returns, log Returns, and annualized Returns & RiskCreate your own customized Financial Index (price-weighted vs. equal-weighted vs. value-weighted)Understand the difference between Price Return and Total Return Create, analyze and optimize Stock PortfoliosCalculate Sharpe Ratio, Systematic Risk, Unsystematic Risk, Beta and Alpha for Stocks, Indexes and PortfoliosUnderstand Modern Portfolio Theory, Risk Diversification and the Capital Asset Pricing Model (CAPM)Forward-looking Mean-Variance Optimization (MVO) and its pitfalls Get an exclusive insight into how MVO is used in Real World (and why it is NOT used in many cases) -> get beyond Investments 101 level! Calculate Rolling Statistics (e.g. Simple Moving Averages) and aggregate, visualize and report Financial PerformanceCreate Interactive Charts with Technical Indicators (SMA, Candle Stick, Bollinger Bands etc.)Part 3 - Capstone ProjectStep into the Financial Analyst / Advisor Role and give advice on a Client´s Portfolio (Final Project Challenge).Apply and master what you have learned before!Part 4 Some advanced topics on handling Time Series Data with Pandas.AppendixDo you struggle with some basic Python / Numpy concepts? Here is all you need to know if you are completely new to Python!Why you should listen to me...In my career, I have built an extensive level of expertise and experience in both areas: Finance and CodingFinance:10 years experience in the Finance and Investment Industry......where I held various quantitative & strategic positions.MSc in Finance Passed all three CFA Exams (currently no active member of the CFA Institute)Python & Pandas:I led a company-wide transformation from Excel to Python/PandasCode, models, and workflows are Real World Project-proven Instructor of the highest-rated and most trending general Course on PandasWhat are you waiting for? Guaranteed Satisfaction: Otherwise, get your money back with a 30-Days-Money-Back-Guarantee.Looking Forward to seeing you in the Course!
