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: 人工神经网络, 逻辑回归, Jupyter, 应用机器学习, 监督学习, 回归分析, 模型评估, 深度学习, 预测建模, 张力流, 强化学习, 财务, 统计方法, 金融市场, 机器学习, Scikit Learn（机器学习库）, Model Evaluation
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: Jupyter, NumPy, 统计分析, 统计推理, 统计假设检验, 统计方法, Python 编程, Matplotlib, 抽样（统计）, 贝叶斯统计, 概率与统计
状态：预览University of London
您将获得的技能: 数据分析, 数据可视化, NumPy, 数据操作, Pandas（Python 软件包）, 统计资料, 描述性统计, 数据科学, Python 编程, Matplotlib, 无监督学习, 机器学习, 机器学习算法, 概率与统计
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: 数据操作, 数据导入/导出, NumPy, 软件测试, MLOps（机器学习运营）, 数值分析, 数据结构, Pandas（Python 软件包）, 调试, 测试自动化, 模型部署, 命令行界面, Python 编程, 面向对象编程（OOP）, 脚本, 机器学习, 应用编程接口 (API)
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: 数据分析, 数据操作, NumPy, DevOps, 云部署, 拥抱的脸, Microsoft Azure, Pandas（Python 软件包）, GitHub, MLOps（机器学习运营）, 探索性数据分析, 微软 Azure, 云计算, Data Management, 数据管理, 负责任的人工智能, Python 编程, 模型部署, 集装箱化, 大数据, 机器学习, AWS SageMaker
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
