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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-finance-investment-fundamentals-data-analytics/
课程评论:没有评论
课程名称:Python金融基础:投资基础与数据分析 课程概述:您是否想在工作环境中学习如何使用Python?您是一名对数据科学感兴趣的年轻专业人士吗?您想探索Python在金融领域的应用,并解决投资组合优化问题吗?如果是的话,这门课程就是为您准备的!我们自豪地推出《Python金融基础:投资基础与数据分析》——这是我们迄今为止创造的最有趣、最全面的课程之一。这是一段从初学者到专业人士的精彩旅程。即使您是完全的初学者,对编程一无所知也不用担心!课程的第一部分专为初学者及希望复习Python技能的人设计。掌握基本知识后,我们将进入金融计算与投资组合优化任务。 金融基础部分将教授您雇主所需的实用技能,成为高薪程序员的关键在于专注于特定领域。在这门课程中,我们将重点关注金融,涵盖金融专业人士日常使用的众多工具和技术,包括:股票收益率、股票风险、股票投资组合收益率、投资组合风险、股票之间的相关性、协方差、可分散与不可分散风险、回归分析、阿尔法与贝塔系数、R²测量回归的解释力、Markowitz有效前沿计算、资本资产定价模型、夏普比率、多元回归分析、蒙特卡洛模拟及其在公司金融中的应用、衍生品及其类型、应用布莱克-舒尔斯公式、使用蒙特卡洛进行期权定价、使用蒙特卡洛进行股票定价。 所有这些主题首先会进行理论讲解,然后使用Python进行实际应用,这是巩固所学知识的最佳方式。即使您是一位经验丰富的程序员,本课程也能让您了解到如果开始在金融环境中工作所需的金融理论和机制。 我们真诚热爱教学,所有内容以清晰易懂的英语、相关示例和高效的课程设计进行讲解。请查看我们的示例视频,看看它们是多么易于理解。如有任何问题,欢迎与我们联系,我们乐于与学生沟通并及时回复。 这门课程与其他编程和金融课程的不同之处在于,它既教授您如何用Python编程,又能将这些技能应用于金融领域。我们提供高质量的制作,包括高清视频和动画,而不仅仅是一系列枯燥的讲座。我们的讲师具有丰富的知识背景,Martin是一位对数据科学充满热情的量化爱好者,而Ned是一位有多年经验的金融从业者,乐于以生动的示例讲解金融主题。 课程内容全面,涉及到您开始用Python编程和解决金融问题所需的所有主要主题。课程挑战将通过练习使学习变得互动。如果您在理解某个概念时遇到困难,或想与我们交流,我们将在一个工作日内回复。 课程节奏合理,确保您不浪费时间。请记得,这门课程提供Udemy 30天无条件全额退款保证,我们坚信课程将为您提供巨大的价值。点击“立即购买”,开始您的学习旅程,我们期待在课程中见到您!
Do you want to learn how to use Python in a working environment?Are you a young professional interested in a career in Data Science? Would you like to explore how Python can be applied in the world of Finance and solve portfolio optimization problems? If so, then this is the right course for you! We are proud to present Python for Finance: Investment Fundamentals and Data Analytics - one of the most interesting and complete courses we have created so far. An exciting journey from Beginner to Pro. If you are a complete beginner and you know nothing about coding, don't worry! We start from the very basics. The first part of the course is ideal for beginners and people who want to brush up on their Python skills. And then, once we have covered the basics, we will be ready to tackle financial calculations and portfolio optimization tasks. Finance Fundamentals. And it gets even better! The Finance part of this course will teach you in-demand real-world skills employers are looking for. To be a high-paid programmer, you will have to specialize in a particular area of interest. In this course, we will focus on Finance, covering many tools and techniques used by finance professionals daily: Rate of return of stocks Risk of stocks Rate of return of stock portfolios Risk of stock portfolios Correlation between stocks Covariance Diversifiable and non-diversifiable risk Regression analysis Alpha and Beta coefficients Measuring a regression's explanatory power with R^2 Markowitz Efficient frontier calculation Capital asset pricing model Sharpe ratio Multivariate regression analysis Monte Carlo simulations Using Monte Carlo in a Corporate Finance context Derivatives and type of derivatives Applying the Black Scholes formula Using Monte Carlo for options pricing Using Monte Carlo for stock pricingEverything is included! All these topics are first explained in theory and then applied in practice using Python. This is the best way to reinforce what you have learned. This course is great, even if you are an experienced programmer, as we will teach you a great deal about the finance theory and mechanics you will need if you start working in a finance context. Teaching is our passion. Everything we teach is explained in the best way possible. Plain and clear English, relevant examples and time-efficient lessons. Don't forget to check some of our sample videos to see how easy they are to understand. If you have questions, contact us! We enjoy communicating with our students and take pride in responding very soon. Our goal is to create high-end materials that are fun, exciting, career-enhancing, and rewarding. What makes this training different from the rest of the Programming and Finance courses out there? This course will teach you how to code in Python and apply these skills in the world of Finance. It is both a Programming and a Finance course.High-quality production - HD video and animations (this isn't a collection of boring lectures!)Knowledgeable instructors. Martin is a quant geek fascinated by the world of Data Science, and Ned is a finance practitioner with several years of experience who loves explaining Finance topics in real life and on Udemy.Complete training - we will cover all the major topics you need to understand to start coding in Python and solving the financial topics introduced in this course (and they are many!)Extensive case studies that will help you reinforce everything you've learned.Course Challenge: Solve our exercises and make this course an interactive experience.Excellent support: If you don't understand a concept or you simply want to drop us a line, you'll receive an answer within 1 business day.Dynamic: We don't want to waste your time! The instructors set a very good pace throughout the whole course.Please don't forget that the course comes with Udemy's 30-day unconditional, money-back-in-full guarantee. And why not give such a guarantee, when we are convinced the course will provide a ton of value for you?Click 'Buy now' to start your learning journey today. We will be happy to see you inside the course.