Python 数据科学课程可以帮助您学习数据操作、统计分析、数据可视化和机器学习基础知识。您可以掌握处理数据 Set、执行探索性数据分析和开发预测模型的技能。许多课程都会介绍用于数据操作的 Pandas、用于可视化的 Matplotlib 和 Seaborn 以及用于机器学习的 Scikit-learn 等工具,让您能够在实际项目和真实世界的数据挑战中应用自己的技能。

Duke University
您将获得的技能: MLOps(机器学习 Operator), 数据导入/导出, 软件测试, 测试自动化, NumPy, Python 程序设计, 脚本, 数值分析, 数据操作, 调试, 机器学习, 模型部署, 面向对象编程(OOP), Pandas(Python 软件包), 数据结构, 应用编程接口 (API), 命令行界面
中级 · 课程 · 1-3 个月

您将获得的技能: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming
中级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, Histogram, Plot (Graphics), Data Visualization, Seaborn, Scatter Plots, Data Visualization Software, Statistical Visualization, Graphing, Python Programming
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis
初级 · 专项课程 · 1-4 周

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

您将获得的技能: Pandas (Python Package), Scatter Plots, Histogram, Data Visualization, Data Manipulation, Data Import/Export, JSON, Data Cleansing, Data Visualization Software, Data Preprocessing, Exploratory Data Analysis, Data Analysis, Python Programming
中级 · 指导项目 · 不超过 2 小时

Howard University
您将获得的技能: Data Wrangling, Linear Algebra, Regression Analysis, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Data Preprocessing, Statistical Modeling, Jupyter, Data Analysis, Machine Learning Methods, Mathematical Modeling, Algebra, Exploratory Data Analysis, Python Programming, Model Evaluation, Statistical Analysis
初级 · 专项课程 · 3-6 个月

您将获得的技能: Object Oriented Programming (OOP), Programming Principles, Computer Programming, Scripting Languages, Data Import/Export, Data Structures, Python Programming, Integrated Development Environments, Scripting, Data Persistence, Computational Logic, Computer Science, File Management
初级 · 专项课程 · 3-6 个月

您将获得的技能: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation
初级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: 数据驱动的决策制定, 管理团队, 团队建设, 数据展示, 数据管理, Data Management, 解决方案交付, 项目管理, 项目实施, 跨职能团队领导, 团队管理, 数据分析, 技术交流, 数据科学
混合 · 课程 · 1-4 周

University of Pittsburgh
您将获得的技能: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
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初级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
中级 · 课程 · 1-4 周