Python Finance: Stock Analysis & Data Fundamentals

所在平台: Udemy

课程主页: https://www.udemy.com/course/python-financial-analysis-investment-data-fundamentals/

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课程名称:Python金融:股票分析与数据基础 课程概述:如果您有兴趣学习如何使用Python分析股票和金融数据,我们的“Python金融:股票分析与数据基础”课程将是您的理想选择!该课程旨在为中级到高级Python开发人员提供深入的金融分析和数据分析知识。 课程内容将从金融和数据分析的基础知识入手,包括股票、投资和投资组合管理等概念。您将学习如何使用Python库,例如NumPy、Pandas和Matplotlib来分析和可视化金融数据。 接下来,我们将深入探讨更高级的主题,例如使用API收集金融数据、分析股票价格以及创建交易算法。您将学习如何运用机器学习技术预测股票价格,以及如何利用历史数据对您的交易算法进行回测。 在整个课程中,您将参与多个真实世界的项目,以实用的方式应用所学知识。课程将涵盖苹果、特斯拉和亚马逊等公司的股票数据分析,并基于您的分析创建自己的交易策略。 不论您是希望扩展编程技能的金融专业人士,还是希望进入金融领域的Python开发者,这门课程都非常适合您。完成课程后,您将能够自信地使用Python分析和解读金融数据,使您成为金融行业团队中的重要资产。 课程涵盖内容: - 股票是什么? - 股票类型 - 如何购买股票? - 供需如何推动价格 - 什么是投资组合? - 投资组合的构建 - 投资目标 - 风险与回报 - Python编程基础 - 股票数据获取 - 股票图表创建 - 股票分析 - 股票数据标准化 实施将通过Jupyter Notebook进行,我们将使用Anaconda数据科学平台进行安装。该课程适合初学者和有一定经验的人,确保您建立坚实的基础,以便使用真实公司股票数据开始Python编程。课程中涉及的公司数据包括特斯拉、苹果、微软、亚马逊和小鹏。 此外,作为额外内容,课程还包含三节关于如何开始加密投资和比特币的讲座。您将学习如何购买您的第一枚比特币。这些讲座将指导您完成以下三个步骤: 1. 创建自己的钱包 2. 从可信赖的经纪商购买比特币 3. 将币转移到您的钱包 欢迎加入我们,学习如何通过Python进行深入的金融分析!

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课程详情

Interested in learning how to analyze stocks and financial data using Python? Look no further than our "Python Finance: Stock Analysis & Data Fundamentals" course!This course is designed for intermediate to advanced Python developers who want to dive deeper into financial analysis and data. We'll start by introducing you to the fundamentals of finance and data analysis, including concepts such as stocks, investments, and portfolio management. You'll also learn how to use Python libraries such as NumPy, Pandas, and Matplotlib to analyze and visualize financial data.Next, we'll dive into more advanced topics, such as using APIs to gather financial data, analyzing stock prices, and creating trading algorithms. You'll learn how to use machine learning techniques to predict stock prices, as well as how to backtest your trading algorithms using historical data.Throughout the course, you'll work on several real-world projects that will allow you to apply your knowledge in a practical way. You'll analyze stock data for companies such as Apple, Tesla, and Amazon, and create your own trading strategies based on your analysis.So whether you're a finance professional looking to expand your programming skills or a Python developer looking to break into finance, this course is for you. By the end of the course, you'll be able to confidently analyze and interpret financial data using Python, making you a valuable asset to any team in the finance industry. This course covers:What is a stock?Stock TypesHow To Buy Stocks?Supply And Demands Drives PricesWhat Is A Portfolio?Building A PortfolioInvestment GoalsRisk vs RewardPython Programming FundamentalsFetching Of Stock DataCreation of Stock ChartsStock AnalysisStock Data Normalization. The implementation will take place within the Jupyter Notebook which we will install using the Anaconda data science platform.This course is for beginners and people with minor experience, this means that we will go through all the fundamentals to build a solid foundation that allow you to start Python programming using real company stock data. Company data included in this course is Tesla, Apple, Microsoft, Amazon and Xpeng. The course is build from the ground up to ensure that every section builds on top of what the previous sections has taught.Bonus: As a bonus this course also includes three lectures on how to get started with Crypto investing and Bitcoins.Learn how to buy your first bitcoins. These lectures will teach you how to use Coinbase and Electrum. During the bonus lectures we will walk through the following three steps.Create your own walletBuy bitcoins from a trusted brokerTransfer the coins to your wallet.

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