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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-python-for-business-and-finance-bootcamp/
课程评论：没有评论
课程名称：商业与金融的完整2合1Python训练营 课程概述：此课程是专为商业与金融专业人士设计的首个全面Python课程，最新更新于2024年8月，新增超过30个在线编程练习。您将从基础开始学习并掌握Python及其完整的数据科学栈，通过真实的商业与金融示例和项目来提升技能。这不仅仅是一个编码课程，更注重理论概念的理解，确保从零起步全面掌握所需知识。 重要说明：理论部分的质量基准参考CFA（注册金融分析师）课程，讲师拥有金融硕士学位并通过了所有三轮CFA考试。本课程避免了常见的错误实践，如基于LSTM的股价预测和线性回归的股价使用。您将不仅精通Python编程，还将学习业务与金融的核心概念，涵盖时间价值、资本预算、风险与回报、风险管理、投资组合理论、资产定价等。 课程中的学习方法是将Python与理论进行相互强化：合适的上下文和示例可以使Python学习更有效，利用Python能够更轻松地掌握商业与金融的核心理论，并通过模拟和可视化来解释理论、数学与公式。 课程还将深入讲解常用的Python数据科学库，包括基础Python、Numpy与Scipy、Pandas、statsmodels、Matplotlib与Seaborn等。学生将获得可下载的Jupyter笔记本，包含数千行代码和数百张幻灯片，帮助理解关键概念，及提供大量编程练习。 课程强调“没有解释就没有代码”，确保学生能理解每一段代码的背后逻辑和应用。学生完成课程后，广泛分布于全球各大热门科技及金融公司。 课程承诺提供30天退款保证，期待您的加入，共同提升职业技能！
**Latest course update and full review in August 2024. Now with more than 30 Udemy Online Coding Exercises - NEW Feature!**Hi and welcome to this Course!This is the first-ever comprehensive Python Course for Business and Finance Professionals. You will learn and master Python from Zero and the full Python Data Science Stack with real Examples and Projects taken from the Business and Finance world. This isn´t just a coding course. You will understand and master all required theoretical concepts behind the projects and the code from scratch.Important: the quality Benchmark for the theory part is the CFA (Chartered Financial Analyst) Curriculum. The Instructor of this course holds a Master´s Degree in Finance and passed all three CFA Exams. In this course, we leave absolutely no room for wrong/dubious (but frequently promoted) practices like LSTM stock price predictions or using stock prices in linear regressions. You will become an expert not only in Python Coding but also in Business & Finance (Time Value of Money, Capital Budgeting, Risk, Return & Correlation, Monte Carlo Simulations, Quality and Risk Management in Production and Finance, Mortgage Loans, Annuities and Retirement Planning, Portfolio Theory, Portfolio Optimization, Asset Pricing & Factor Models, Value-at-Risk) Statistics (descriptive & inferential statistics, Confidence Intervals, Hypothesis Testing, Normal Distribution & Student´s t-distribution, p-value, Bootstrapping Method, Monte Carlo Simulations, Normality of Returns)Regression (Covariance & Correlation, Linear Regression, Multiple Regression and its pitfalls, Hypothesis Testing of Regression Coefficients, Logistic Regression, ANOVA, Dummy Variables, Links to Machine Learning, Fama-French Factor Models) This course follows a mutually reinforcing concept: Learning Python and Theory simultaneously: Learning Python is more effective when having the right context and the right examples (avoid toy examples!).Learning and mastering essential theories and concepts in Business, Finance, Statistics and Regression is way easier and more effective with Python as you can simulate, visualize and dynamically explain the intuition behind theories, math and formulas. This course covers in-depth all relevant and commonly used Python Data Science Packages: Python from the very Basics (Standard Library)Numpy and Scipy for Numeric, Scientific, Financial, Statistical Coding and SimulationsPandas to handle, process, clean, aggregate and manipulate Tabular (Financial) Data. You deserve more than just Excel!statsmodels to perform Regression Analysis, Hypothesis Testing and ANOVAMatplotlib and Seaborn for scientific Data VisualizationThis course isn´t just videos:Downloadable Jupyter Notebooks with thousands of lines of codeDownloadable PDF Files containing hundreds of slides explaining and repeating the most important concepts Downloadable Jupyter Notebook with hundreds of coding exercises incl. hints and solutionsI strictly follow one simple rule in my coding courses: No code without explaining the WHY. You won´t hear comments like "...that´s the Python code, feel free to google for more background information and figure it out yourself". Your boss, your clients, your business partners and your colleges don´t accept that. Why should you ever accept this in a course that builds your career? Even the best (coding) results have only little value if they can´t be explained and sold to others. I am Alexander Hagmann, Finance Professional and best-selling Instructor for (Financial) Data Science, Finance with Python and Algorithmic Trading. Students who completed my courses work in the largest and most popular tech and finance companies all over the world. From my own experience and having coached thousands of professionals and companies online and in-person, there is one key finding: Professionals typically start with the wrong parts of the Python Ecosystem, in the wrong context, with the wrong tone and for the wrong career path.Do it right the first time and save time and nerves! What are you waiting for? There is no risk for you as you have a 30 Days Money Back Guarantee.Thanks and looking forward to seeing you in the Course!
