个结果，搜索词为 "pandas (python package)"
状态：新状态：免费试用您将获得的技能: Data Wrangling, Data Import/Export
状态：免费试用Duke University
您将获得的技能: 调试, 机器学习, 数据导入/导出, 数值分析, NumPy, 软件测试, Python 程序设计, 脚本, 数据操作, 测试自动化, 计划发展, 应用编程接口 (API), MLOps（机器学习 Operator）, 数据结构, Pandas（Python 软件包）, 面向对象编程（OOP）, 命令行界面
状态：免费试用Fractal Analytics
您将获得的技能: 概率与统计, 探索性数据分析, 统计分析, 数据处理, Python 程序设计, 统计, 数据操作, 数据科学, 数据转换, Pandas（Python 软件包）, 应用机器学习, 数据可视化, 功能工程, 数据分析, Jupyter, 数据清理
状态：免费试用Duke University
您将获得的技能: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Scientific Visualization, Data Visualization Software, Predictive Analytics, Debugging, Data Manipulation, Object Oriented Programming (OOP), Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Microsoft Visual Studio, Predictive Modeling, Data Analysis
状态：免费试用University of Michigan
您将获得的技能: Statistics, Data Analysis, Descriptive Statistics, Data-oriented programming, Python Programming
状态：新状态：预览您将获得的技能: Git (Version Control System), Version Control, GitHub, Jupyter, Python Programming, Programming Principles, Data Science, Generative AI, Scripting Languages, Development Environment, Computer Programming, Scripting, Data Analysis
状态：免费试用您将获得的技能: 描述性统计, 概率与统计, 探索性数据分析, 回归分析, 统计分析, Matplotlib, 概率分布, 统计, 科学可视化, 相关性分析, 统计方法, 统计假设检验, 数据可视化, 概率, 数据分析, Pandas（Python 软件包）, 数据科学, Jupyter
状态：免费试用University of Colorado Boulder
您将获得的技能: Matplotlib, 数据可视化软件, 脚本, 数据导入/导出, NumPy, 绘图（图形）, 功能设计, 数据操作, Python 程序设计, 编程原则, 柱状图, 数据可视化, 软件工程, Seaborn, 脚本语言, 软件包和软件管理, 计算机编程, Pandas（Python 软件包）, 数据科学
状态：新状态：免费试用您将获得的技能: Pandas (Python Package), NumPy, Data Wrangling, Data Transformation, Data Manipulation, Pivot Tables And Charts, Data Cleansing, Data Analysis, Numerical Analysis, Data Structures, Descriptive Statistics
状态：新您将获得的技能: Statistical Visualization, Scatter Plots, Histogram, Data Science, Computer Programming
状态：新状态：免费试用您将获得的技能: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Interactive Data Visualization, Python Programming, NumPy, Data Analysis, Git (Version Control System), Jupyter, Data Transformation, Programming Principles
状态：预览Nanjing University
您将获得的技能: Web Scraping, Exploratory Data Analysis, Object Oriented Programming (OOP), Data Processing, User Interface (UI), Visualization (Computer Graphics), Statistical Analysis, NumPy, Data Analysis, Graphical Tools, Data Manipulation, Pandas (Python Package), Data Collection, Python Programming, Data Structures
总之，以下是 10 最受欢迎的 pandas (python package) 课程
- Data Structures in Python: Google
- 面向 MLOps 的 Python 基本知识: Duke University
- 适用于数据科学的 Python: Fractal Analytics
- Programming for Python Data Science: Principles to Practice: Duke University
- Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
- First Steps in Python with Jupyter Notebooks: Coursera
- 使用 Python 进行数据科学统计: IBM
- 通往数据科学的捷径Python 编程: University of Colorado Boulder
- NumPy & Pandas: Analyze & Transform Data: EDUCBA
- Data Science Foundations: NumPy, Pandas & Visualization: Packt
