NumPy 课程
NumPy 课程经常教授数组操作、数学函数和数据分析技术。您可以掌握执行复杂计算、处理大型数据集和优化数值运算性能的技能。很多课程都会介绍 Jupyter Notebook 和 Python 库等工具，展示这些技能在数据科学、机器学习和人工智能项目中的应用。
热门 NumPy 课程和认证
状态：免费试用University of Michigan
您将获得的技能: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Data Preprocessing, Data-oriented programming, Program Development, Numerical Analysis, Critical Thinking
状态：免费试用DeepLearning.AI
您将获得的技能: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis
状态：免费试用University of Colorado Boulder
您将获得的技能: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Statistical Visualization, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data Transformation, Data Cleansing, Data Preprocessing, Data Presentation, Plot (Graphics), Data Visualization Software, Statistical Analysis, Seaborn, NumPy, Python Programming
状态：免费试用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
状态：新状态：免费试用您将获得的技能: Plotly, Model Evaluation, NumPy, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Probability & Statistics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Performance Tuning
状态：免费试用LearnQuest
您将获得的技能: 绘图（图形）, 脚本, Python 程序设计, 数据整理, 数据结构, 数据转换, 数据操作, 数据科学, 编程原则, 数据预处理, 应用机器学习, 数据分析, 透视表和图表, 探索性数据分析, Pandas（Python 软件包）, NumPy, 数据清理, Jupyter, 供应链, 运筹学
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, Data Integration, Python Programming, Data Import/Export, Data Analysis, Exploratory Data Analysis, Debugging
状态：新状态：预览您将获得的技能: Data Integration, Data Import/Export, NumPy, Data Manipulation, Data Preprocessing, Pandas (Python Package), Data Pipelines, Data Transformation, Extract, Transform, Load, Data Cleansing
状态：免费试用Universidad Nacional Autónoma de México
您将获得的技能: Extract, Transform, Load, Pandas (Python Package), NumPy, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Visualization Software, Package and Software Management, Graphing, Data Analysis, Jupyter, Data Import/Export, Python Programming, Data Manipulation
您将获得的技能: Pandas (Python Package), Data Analysis, Data Manipulation, Data Wrangling, NumPy, Python Programming
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Howard University
您将获得的技能: 数据科学, 线性代数, Python 程序设计, 软件安装, 数学建模, 数据操作, Git（版本控制系统）, 应用数学, NumPy, Jupyter, 数据可视化
与 numpy 相关的搜索
总之，以下是 10 最受欢迎的 numpy 课程
- Data-Oriented Python Programming and Debugging: University of Michigan
- Python for Data Analytics: DeepLearning.AI
- Data Wrangling with Python: University of Colorado Boulder
- Linear Algebra for Data Science Using Python: Howard University
- Data Science Essentials: Analysis, Statistics, and ML: Packt
- 供应链机器学习基础: LearnQuest
- Pandas for Data Science: Duke University
- From Raw to Ready: Data Preparation in Python: Coursera
- Python: de usuario a explorador de datos: Universidad Nacional Autónoma de México
- Mastering Data Analysis with Pandas: Learning Path Part 2: Coursera
