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：预览The University of Chicago
您将获得的技能: Climate Change Programs, Mathematical Modeling, NumPy, Physical Science, Simulation and Simulation Software, Environmental Science, Scientific Visualization, Matplotlib, Simulations, Numerical Analysis, Differential Equations, Mechanics
状态：新状态：免费试用您将获得的技能: Matplotlib, Data Storytelling, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Data Visualization, Statistical Visualization, Box Plots, E-Commerce, Business Analytics, Scatter Plots, Data Processing, Histogram, Data Analysis, Exploratory Data Analysis, Graphing, Pandas (Python Package), Image Quality, Data Visualization Software, Python Programming
状态：新状态：免费试用您将获得的技能: Matplotlib, Data Storytelling, Data Visualization, Scientific Visualization, Statistical Visualization, Data Visualization Software, Graphing, Scatter Plots, Image Quality, NumPy, Histogram, Image Analysis
状态：免费试用LearnQuest
您将获得的技能: 预测建模, 数据清理, 机器学习算法, 数据操作, 数据转换, 机器学习, Pandas（Python 软件包）, Scikit-learn （机器学习库）, 张力流, NumPy, 随机森林算法, 数据处理, 数据科学, 分类与回归树 (CART), 探索性数据分析, 生物信息学, Keras（神经网络库）, 功能工程, 应用机器学习, 降维
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：预览Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: Python 程序设计, 数据操作, 人工智能, Matplotlib, Pandas（Python 软件包）, Scikit-learn （机器学习库）, 张力流, 数据处理, Keras（神经网络库）, 面向对象编程（OOP）, 数据可视化, NumPy, Seaborn
状态：免费试用Arizona State University
您将获得的技能: Supervised Learning, Unsupervised Learning, Matplotlib, Generative AI, NumPy, Object Oriented Programming (OOP), Deep Learning, Image Analysis, Plot (Graphics), Machine Learning Algorithms, Object Oriented Design, Applied Machine Learning, Integrated Development Environments, Pandas (Python Package), Python Programming, Machine Learning, Development Environment, Event-Driven Programming, Programming Principles, Computer Programming
状态：免费试用University of Colorado Boulder
您将获得的技能: Pandas (Python Package), Data Wrangling, NumPy, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Transformation, Data Quality, Exploratory Data Analysis, Statistical Analysis, Data Integration, Programming Principles, Python Programming, Scripting
状态：免费试用LearnQuest
您将获得的技能: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Operations Research, NumPy, Demand Planning, Data Manipulation, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Machine Learning Methods, Inventory Management, Trend Analysis, Data Visualization, Machine Learning, Data Science, Data Analysis
状态：预览您将获得的技能: Seaborn, Data Storytelling, Statistical Visualization, Data Visualization, Data Visualization Software, Matplotlib, Box Plots, Scatter Plots, Statistical Analysis, Heat Maps, Histogram, Python Programming
您将获得的技能: Spatial Data Analysis, Artificial Intelligence, Robotic Process Automation, Simulations, NumPy
状态：免费试用University of Michigan
您将获得的技能: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Descriptive Statistics, Data-oriented programming, Data Processing, Maintainability, Numerical Analysis, Critical Thinking, Technical Support
与 numpy 相关的搜索
总之，以下是 10 最受欢迎的 numpy 课程
- Global Warming II: Create Your Own Models in Python: The University of Chicago
- Matplotlib: Python Data Visualization & Wrangling: EDUCBA
- Mastering Data Visualization with Matplotlib: EDUCBA
- 用于科学研究的人工智能: LearnQuest
- Análisis Exploratorio de Datos con Python: Coursera
- 实用 Python 人工智能编码 2: Korea Advanced Institute of Science and Technology(KAIST)
- Python: A Guided Journey from Introduction to Application: Arizona State University
- Fundamental Tools of Data Wrangling: University of Colorado Boulder
- Machine Learning for Supply Chains: LearnQuest
- Seaborn: Visualizing Basics to Advanced Statistical Plots: Coursera
