Jupyter 课程
Jupyter 课程可以帮助您学习数据 Visualization、交互式计算以及如何创建可重复的研究。您可以掌握 Python 编程、使用 Pandas 和 NumPy 等库进行数据分析以及使用 Markdown 编写文档的技能。许多课程都会介绍 Jupyter Notebook 和 JupyterLab 等工具，这些工具可以让您将代码、文本和可视化无缝地结合在一起，从而更轻松地展示您的研究成果并开展项目合作。
热门 Jupyter 课程和认证
University of Colorado Boulder
您将获得的技能: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming
您将获得的技能: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Version Control, Statistical Analysis, Data Science, Python Programming, NumPy, Data Analysis, Jupyter, Programming Principles, Data Cleansing, Exploratory Data Analysis, Scripting
University of Michigan
您将获得的技能: 统计分析, Matplotlib, 数据分析, Python 编程, 统计资料, 探索性数据分析, 概率与统计, 数据扫盲, 描述性统计, 箱形图, 统计推理, 抽样（统计）, 数据可视化, NumPy, 统计可视化, Seaborn, 柱状图, Jupyter
您将获得的技能: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Data Import/Export, NumPy, Time Series Analysis and Forecasting, Business Reporting, Jupyter, Data Wrangling, Microsoft Excel, Data Transformation, Matplotlib, Data Analysis, Data Cleansing, Data Preprocessing, Analytics, Data Processing, Business Analytics, Python Programming, Data Analysis Software
University of Pennsylvania
您将获得的技能: Matplotlib, Pandas（Python 软件包）, 数据科学, 数据分析, 数据预处理, 探索性数据分析, Python 编程, 数据可视化软件, 数据操作, 散点图, 数据结构, 数据可视化, NumPy, 数据导入/导出, 透视表和图表, 数据清理, Jupyter, 编程原则, 柱状图
University of Cape Town
您将获得的技能: 计算机编程, 统计分析, 统计假设检验, 软件包和软件管理, 探索性数据分析, 数值分析, 箱形图, 描述性统计, 科学可视化, 数据操作, 数学建模, 数据导入/导出, Jupyter, 数据可视化
您将获得的技能: 统计分析, 网络抓取, Microsoft Excel, 数据故事, 关系数据库, Excel 公式, 交互式数据可视化, 闪亮（R 套件）, 仪表板, 数据库设计, 数据操作, 探索性数据分析, 数据可视化软件, Ggplot2, 分析技能, 数据整理, 数据可视化, 透视表和图表, 数据展示, 统计可视化
Google
您将获得的技能: Package and Software Management, Data Science, Computer Programming, Mathematical Software
Universidad Nacional Autónoma de México
您将获得的技能: Jupyter, Software Installation, Python Programming, Linux, Programming Principles, Cross Platform Development, Software Documentation, Development Environment, Command-Line Interface
Imperial College London
您将获得的技能: Algorithm, 机器学习算法, 线性代数, 应用数学, 算法, Python 编程, NumPy, Jupyter
您将获得的技能: Plotly, Dashboard, Data Analysis, Interactive Data Visualization, Jupyter, HTML and CSS, UI Components, Financial Analysis, Data Visualization Software, Real Time Data, Python Programming, Data Structures
您将获得的技能: Responsible AI, Agentic Workflows, AI Workflows, AI Orchestration, Generative AI Agents, AI Enablement, Business Process Automation, Artificial Intelligence and Machine Learning (AI/ML), Workflow Management, LLM Application, Model Deployment, Artificial Intelligence, LangChain, Vector Databases, Agentic systems, Tool Calling, AI Security, AI Personalization, AI Product Strategy, Generative AI
总之，以下是 10 最受欢迎的 jupyter 课程
- Introduction to Python for Scientific Computing: University of Colorado Boulder
- Python for Data Science (and Version Control with GitHub): Coursera
- 使用 Python 理解和可视化数据: University of Michigan
- Data Analysis with NumPy and Pandas: EDUCBA
- 使用 Python 进行数据分析: University of Pennsylvania
- Julia 科学编程: University of Cape Town
- 使用 Excel 和 R 进行 IBM 数据分析: IBM
- Hello, Python!: Google
- Python: de cero a usuario: Universidad Nacional Autónoma de México
- 机器学习数学线性代数: Imperial College London
