个结果，搜索词为 "pandas (python package)"
状态：免费试用Corporate Finance Institute
您将获得的技能: Matplotlib, Financial Data, Exploratory Data Analysis, Pandas (Python Package), Financial Analysis, Data Visualization Software, Statistical Analysis, Data Manipulation, NumPy, Seaborn, Data Analysis, Data Science, Data Transformation, Python Programming, Data Cleansing, Computer Programming
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 描述性统计, 数据结构, 统计分析, 回归分析, Matplotlib, Python 程序设计, 数据预处理, 分析, 数据操作, Jupyter, SQL, 会计, 关系数据库, Pandas（Python 软件包）, NumPy, 数据分析软件, 数据可视化, Seaborn, 数据库管理
状态：新状态：免费试用您将获得的技能: Object Oriented Programming (OOP), Data Structures, Data Cleansing, Python Programming, Data Analysis, NumPy, Pandas (Python Package), Data Manipulation, Analytical Skills, Scripting, Algorithms, Debugging
状态：新状态：免费试用您将获得的技能: Data Cleansing, Pandas (Python Package), Financial Data, Data Wrangling, Data Transformation, Data Preprocessing, Data Quality, Data Manipulation, Data Validation, Jupyter, Data Integrity, Exploratory Data Analysis, Data Import/Export, Descriptive Statistics
状态：新状态：免费试用Logical Operations
您将获得的技能: Seaborn, NumPy, Matplotlib, Data Transformation, Data Manipulation, Data Visualization Software, Pandas (Python Package), Plot (Graphics), Data Visualization, Jupyter, Scatter Plots, Data Science, Data Processing, Data Analysis, Box Plots, Python Programming, Graphing, Computer Programming, Computer Programming Tools, Software Development
状态：新状态：免费试用Logical Operations
您将获得的技能: NumPy, Data Transformation, Data Manipulation, Data Cleansing, Jupyter, Data Processing, Data Analysis, Data Science, Data Import/Export, Python Programming, Virtual Machines, Computer Programming, Computer Programming Tools, Software Development
是什么让您今天来到 Coursera？
状态：新状态：免费试用您将获得的技能: Pandas (Python Package), NumPy, Data Manipulation, Data Preprocessing, Package and Software Management, Data Analysis, Data Transformation, Data Integration, JSON, Object Oriented Programming (OOP), Data Wrangling, Data Science, Python Programming, Computer Programming, Programming Principles, Data Import/Export, Software Design, Mathematical Software, Computational Logic, Data Structures
状态：免费试用您将获得的技能: Pandas (Python Package), Data Import/Export, Matplotlib, Pivot Tables And Charts, Jupyter, Data Visualization Software, Data Visualization, Microsoft Excel, Data Analysis, Text Mining, Data Manipulation, Data Cleansing, NumPy, Data Analysis Software, Data Wrangling, Time Series Analysis and Forecasting, Python Programming, Data Preprocessing, Data Structures, Development Environment
状态：免费试用您将获得的技能: 面向对象编程（OOP）, 数据结构, JSON, 计算机编程, Python 程序设计, 还原式 API, 文件输入/输出, Jupyter, 数据操作, Pandas（Python 软件包）, NumPy, 网页抓取, 数据导入/导出, 编程原则, 自动化, 应用编程接口 (API), 数据分析
状态：免费试用Duke University
您将获得的技能: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Quality, NumPy, File I/O, Query Languages, Python Programming, Data Import/Export, Data Analysis, Exploratory Data Analysis, Debugging
状态：免费试用您将获得的技能: 回归分析, 数据预处理, 数据转换, Matplotlib, 数据驱动的决策制定, 数据操作, 统计分析, Python 程序设计, 数据科学, 探索性数据分析, Pandas（Python 软件包）, 数据可视化, 数据导入/导出, NumPy, 预测建模, 数据分析, Model Evaluation, 数据清理, Scikit-learn （机器学习库）
状态：免费试用Universidad Nacional Autónoma de México
您将获得的技能: Exploratory Data Analysis, Pandas (Python Package), Extract, Transform, Load, Data Analysis, NumPy, Package and Software Management, Time Series Analysis and Forecasting, Data Visualization Software, Data Science, Python Programming, Jupyter, Graphing, Matplotlib, Data Import/Export, Data Manipulation, Software Installation, Ubuntu, Scripting, Computational Thinking, Mac OS
总之，以下是 10 最受欢迎的 pandas (python package) 课程
- Python Fundamentals: Corporate Finance Institute
- 使用 Python 进行会计数据分析: University of Illinois Urbana-Champaign
- Introduction to Data Analysis Using Python: Google
- Data Cleaning with Python for Finance: Coursera
- Using Data Science Tools in Python: Logical Operations
- Python Data Science: NumPy: Logical Operations
- Google Data Analysis with Python: Google
- Data Analysis with Pandas and Python: Packt
- 用于数据科学、人工智能和开发的 Python: IBM
- Pandas for Data Science: Duke University
