Python 金融课程可以帮助您学习数据分析、金融建模、算法交易和风险管理。您可以掌握使用 Pandas(用于数据操作)、NumPy(用于数据分析)和 Matplotlib(用于数据可视化)等库的技能。许多课程还涉及定量方法和投资组合优化技术,为金融决策提供实际应用。通过使用真实数据集,您将获得实践经验,为从事金融和投资分析工作做好准备。

您将获得的技能: Dashboard, Kibana, System Monitoring, Automation, Scripting, Devops Tools, Python Programming, Linux, Data Visualization Software, Data Structures, JSON
混合 · 课程 · 1-4 周

Duke University
您将获得的技能: Python 程序设计, 数据操作, 数据结构, 虚拟环境, 软件开发工具, Pandas(Python 软件包), 版本控制, NumPy, 数据分析软件, 开发环境, Git(版本控制系统)
初级 · 课程 · 1-4 周

您将获得的技能: Data Storytelling, Plotly, Data Presentation, Matplotlib, Interactive Data Visualization, Seaborn, Data Visualization, Data Visualization Software, Statistical Visualization, Scatter Plots
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing
混合 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: Exploratory Data Analysis, Data Wrangling, Data Integration, Data Collection, Data Preprocessing, Data Validation, Data Cleansing, Data Quality, Data Analysis, Data Manipulation, Data Transformation, Data Pipelines, Pivot Tables And Charts, Statistical Visualization, Data Visualization, Statistical Analysis, Descriptive Statistics, Data Mining, Dimensionality Reduction
中级 · 课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: Python 程序设计, 数据操作, 数据结构, 脚本, Matplotlib, 软件包和软件管理, 数据可视化软件, 脚本语言, 绘图(图形), 数据导入/导出, 编程原则, 计算机编程, NumPy, Seaborn, 柱状图, 软件工程, Pandas(Python 软件包), 数据可视化, 功能设计, 数据科学
初级 · 专项课程 · 1-3 个月

您将获得的技能: Web Services, Email Automation, Scripting, Automation, Python Programming, Restful API, Application Programming Interface (API), JSON, System Monitoring, Image Analysis, Debugging
初级 · 课程 · 1-3 个月

您将获得的技能: Matplotlib, Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Jupyter, NumPy, Performance Tuning, Development Environment, Python Programming, Debugging
混合 · 课程 · 1-3 个月

您将获得的技能: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms
初级 · 指导项目 · 不超过 2 小时

Universidad Nacional de Colombia
您将获得的技能: Computational Thinking, Computer Programming, Scripting, Data Import/Export, Logical Reasoning
中级 · 课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: Classification Algorithms, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Project Planning, Feature Engineering
中级 · 课程 · 1-3 个月

您将获得的技能: User Interface (UI), UI Components, Software Design, Maintainability, Application Development, Microsoft Windows, Object Oriented Programming (OOP), Python Programming, Data Persistence
混合 · 课程 · 1-4 周