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
状态：新状态：预览JetBrains
您将获得的技能: NumPy, Python Programming, Linear Algebra, Numerical Analysis, Data Manipulation, Integrated Development Environments, Data Science, Data Management, Software Development Tools, Software Development, Machine Learning, Engineering, Scientific, and Technical Instruments
您将获得的技能: Pandas (Python Package), Scatter Plots, Histogram, Data Visualization, Data Manipulation, Data Import/Export, JSON, Data Cleansing, Data Visualization Software, Data Preprocessing, Exploratory Data Analysis, Data Analysis, Python Programming
状态：免费试用University of Michigan
您将获得的技能: Python 程序设计, 数据科学, 编程原则, 数据导入/导出, Pandas（Python 软件包）, NumPy, 透视表和图表, 数据操作, 数据分析, 数据清理, 统计分析
Coursera
您将获得的技能: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming
状态：免费试用您将获得的技能: Retrieval-Augmented Generation, OpenAI API, Generative AI, Large Language Modeling, Generative Adversarial Networks (GANs), ChatGPT, Generative AI Agents, Hugging Face, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Applied Machine Learning, Prompt Engineering, Application Programming Interface (API), Transfer Learning, Machine Learning Algorithms, Data Preprocessing, Model Evaluation
状态：免费试用您将获得的技能: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Statistical Analysis, Data Import/Export, Data Cleansing, Probability & Statistics, Data Manipulation, Descriptive Statistics, Pandas (Python Package), Exploratory Data Analysis, Correlation Analysis, Python Programming, Programming Principles, Computer Programming, Computational Logic
状态：免费试用University of Michigan
您将获得的技能: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
状态：新状态：免费试用您将获得的技能: Integrated Development Environments, Computer Networking, Server Side, Real Time Data, Data Analysis Expressions (DAX), Application Development
状态：免费您将获得的技能: Python 程序设计, 数据可视化软件, 生成式人工智能, 交互式数据可视化, 分析, 数据驱动的决策制定, Pandas（Python 软件包）, Matplotlib, 数据分析, ChatGPT, 仪表板
状态：新您将获得的技能: Data Science, Statistical Inference, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistics, Regression Analysis, Apache Hadoop, Big Data, Machine Learning, Data Manipulation, Data Preprocessing, Data Analysis, Analytics, Random Forest Algorithm, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS
您将获得的技能: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, NumPy, Statistical Analysis, Python Programming
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, Query Languages, Python Programming, Data Import/Export, Data Analysis, Exploratory Data Analysis, Debugging
总之，以下是 10 最受欢迎的 jupyter 课程
- Python: Mastering NumPy Essentials: JetBrains
- Data Analysis in Python: Using Pandas DataFrames: Coursera
- Python 中的数据科学导论: University of Michigan
- Data Analysis Using Pyspark: Coursera
- Generative AI, LLMs, and Advanced Applications with Python: Packt
- Data Analysis in Python: Codio
- Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
- Advanced Python for Data Analysis: Build & Optimize: EDUCBA
- 使用 ChatGPT 实现数据 Visualization：用 Python 制作 Dashboard: Coursera
- Mastering Python for Data Science: Packt
