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：免费试用您将获得的技能: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming
状态：免费试用您将获得的技能: Git (Version Control System), Version Control, GitHub, Jupyter, Python Programming, Data Science, Generative AI, Development Environment, Computer Programming, Data Analysis
状态：免费试用New York University
您将获得的技能: Model Evaluation, 强化学习, 深度学习, 回归分析, 预测建模, 逻辑回归, Scikit Learn（机器学习库）, 机器学习, 人工神经网络, 张力流, 财务, 金融市场, 模型评估, 监督学习, 统计方法, Jupyter, 应用机器学习
状态：免费试用Duke University
您将获得的技能: Matplotlib, Data Visualization, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Modeling, Probability & Statistics, Classification Algorithms, Python Programming
状态：免费试用University of Michigan
您将获得的技能: 统计假设检验, NumPy, 统计分析, Matplotlib, 概率与统计, 抽样（统计）, Python 编程, 统计方法, 贝叶斯统计, 统计推理, Jupyter
状态：预览University of London
您将获得的技能: 数据分析, 数据可视化, 概率与统计, 机器学习算法, NumPy, 无监督学习, Matplotlib, 机器学习, 数据科学, 统计资料, 数据操作, Pandas（Python 软件包）, Python 编程, 描述性统计
状态：免费试用您将获得的技能: Data Integration, Data Import/Export, NumPy, Data Manipulation, Data Preprocessing, Pandas (Python Package), Data Pipelines, Data Transformation, Extract, Transform, Load, Data Cleansing
状态：免费试用您将获得的技能: Seaborn, Data Storytelling, Data Presentation, Statistical Visualization, Data Visualization, Data Literacy, Data Visualization Software, Matplotlib, Box Plots, Scatter Plots, Statistical Analysis, Heat Maps, Histogram, Python Programming
您将获得的技能: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation
状态：免费试用Duke University
您将获得的技能: 命令行界面, 应用编程接口 (API), 脚本, NumPy, 软件测试, 数据导入/导出, 调试, 模型部署, 机器学习, 面向对象编程（OOP）, 数据操作, 数据结构, Pandas（Python 软件包）, 数值分析, Python 编程, MLOps（机器学习运营）, 测试自动化
您将获得的技能: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Matplotlib, Data Import/Export, Unstructured Data, Data Collection
状态：免费试用Duke University
您将获得的技能: 云计算, Data Management, GitHub, 数据分析, NumPy, 拥抱的脸, 大数据, 模型部署, AWS SageMaker, Microsoft Azure, 机器学习, DevOps, 微软 Azure, 数据操作, 探索性数据分析, 云部署, Pandas（Python 软件包）, 集装箱化, Python 编程, 数据管理, 负责任的人工智能, MLOps（机器学习运营）
总之，以下是 10 最受欢迎的 numpy 课程
- Python and Statistics Foundations: Edureka
- First Steps in Python with Jupyter Notebooks: Coursera
- 金融领域机器学习导览: New York University
- Data Visualization and Modeling in Python: Duke University
- 使用 Python 进行推理统计分析: University of Michigan
- 数据科学基础：Python 中的 K 均值聚类: University of London
- From Raw to Ready: Data Preparation in Python: Coursera
- Seaborn: Visualizing Basics to Advanced Statistical Plots: Coursera
- Análisis Exploratorio de Datos con Python: Coursera
- 面向 MLOps 的 Python 基本知识: Duke University
