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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-4-buffett-value-investing/
课程评论：没有评论
课程名称：数据科学与巴菲特价值投资 课程概述：本课程旨在教授如何将数据科学应用于价值投资。市场资本化通常与公司财务状况密切相关，因此，预测股价本质上就是预测财务状况，这样更为简单。这正是价值投资的核心。通过数据科学，您将学习到沃伦·巴菲特的价值投资的实际应用，包括：巴菲特的价值投资原则及三种爆炸性股票；经过验证的数据科学模型和可视化技能，以确定股票的公允价格或内在价值；使用基础分析、竞争情报和比较估值进行高估和低估分析的实用指南；行业与国家分析，以确定投资或规避的行业与国家组合；涉及零售、半导体、制药与生物技术、汽车及资本品等多个行业的实际案例研究，让您学会如何处理不同情况等等。 为什么选择数据科学进行价值投资？价值投资是一种经过验证的投资理念，拥有许多成功的例子，如沃伦·巴菲特、本·格雷厄姆和彼得·林奇。数据科学就像水晶球，可以将随机的价格波动映射到可预测的规律，从而为投资者提供实用的成功指导。 教学方法：课程使您能够控制大量数据和易于使用的分析工具，通过以下方式进行学习：真实案例及模板涉及多种公司、行业和国家；一个强大的数据库包含超过30,000家公司及100个国家的财务和估值数据；可视化工具和数据科学模型使投资分析变得简单有趣；与同伴投资者分享您的作品，并从他们那里学习投资见解。 关于讲师：该课程由获奖讲师赵耀博士开发和授课，赵博士是拉德福大学商学院的研究教授，曾获得多个奖项，包括国家科学基金会职业奖、院长杰出教学奖和INFORMS案例与教学材料竞赛一等奖。他已在全球范围内线下和线上授课，培养了数十万名学生，包括本科生、研究生和高管。 适合人群：该课程适合以下人群：个人与专业投资者、股票分析师、共同基金及财富管理专业人士；对个别股票或行业（包括美国或其他国家）感兴趣的投资者。 课程要求：无需任何先前经验、编码或技术技能。如果您是初学者，可以从基础开始逐步建立学习；如果您是专家或对特定行业或股票感兴趣，可以查看课程大纲并跳至适合您的模块。
Learn how to apply data science to value investing with this course.Market capitalization is often strongly correlated with company financials. Thus, predicting stock prices becomes predicting the financials which can be much easier. This is the essence of value investing. Leveraging data science, you'll learn the practical version of Warren Buffett value investing, includingValue investing principles of Warren Buffett and the three exploding stocks.Well tested data science models and visualization skills to determine the fair price or intrinsic value of stocks.Practical and actionable guidelines for over and under-value analysis using fundamental analysis, competitive intelligence and comparative valuation.Industry and country analysis to determine the industry & country combinations to invest or avoid.Real life case studies on companies from diverse industries, such as, retailing, semiconductors, pharmaceuticals and biotechnology, automobile, and capital goods, so you know how to handle different situations.And much more.Why data science for value investing?Value investing is a proven investment philosophy with many phenomenally successful examples, such as Warren Buffett, Ben Graham and Peter Lynch. Data science, like a crystal ball, can map the random price movements to predictable laws, and thus offer practical guidelines for investors to repeat the success.Teaching methodsThe course puts you at control of vast data and easy-to-use analysis tools, so you will learn by doing through,Real life case studies and templates of diverse companies, industries and countries.A powerful database with 30,000+ companies and 100 countries of financials and valuation data.Visualization tools and data science models make the investment analysis easy and fun.Sharing your work with peer investors, and learning investment insights from them.About the instructorThe course is developed and taught by an award-winning instructor, Dr. Yao Zhao, who is the Rutgers Business School Dean's Research Professor, and has won numerous awards including National Science Foundation Career Award, Dean's Meritorious Teaching Award, and 1st prize INFORMS Case and Teaching Materials Competition. He has taught hundreds of thousands of students world-wide, online and offline; undergrad, graduate, and executive.Who is this course for?The course is designed for the following audiences:Personal and professional investors, stock analysts, mutual fund and wealth management professionals.Investors who are interested in either individual stocks or industries (in either the United States or other countries).Course requirementNo prior experience, coding or technical skills are required:If you are a beginner, you can build up your learnings step-by-step starting from the basics.If you are an expert or interested in specific industries or stocks, take a look at the course outline and jump into modules that suit your needs.
