Python 数据科学课程
Python 数据科学课程可以帮助您学习数据操作、统计分析、机器学习和数据 Visualization。您可以培养使用 Python 编程、使用 Pandas 和 NumPy 等库以及应用算法解决实际问题的技能。许多课程都会介绍一些工具，如用于交互式编码的 Jupyter Notebook、用于创建可视化的 Matplotlib 和用于实现机器学习模型的 Scikit-learn 等，所有这些工具都能提高您分析和解释复杂数据集的能力。
热门 Python 数据科学课程和认证
状态：新状态：免费试用您将获得的技能: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis
状态：免费试用您将获得的技能: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Hugging Face, Generative AI, OpenAI API, Natural Language Processing, Large Language Modeling, OpenAI, LLM Application, Transfer Learning, Embeddings, Python Programming, Model Evaluation
状态：新您将获得的技能: File I/O
您将获得的技能: Object Oriented Programming (OOP), Jupyter, Computer Programming, Python Programming, Simulation and Simulation Software, Electronics Engineering, Simulations, Programming Principles
状态：免费试用SkillUp
您将获得的技能: 数据管理, Data Management, 数据迁移, 数据架构, 数据存储, 云存储, 数据安全, 数据整合, 数据基础设施, 灾难恢复, 数据管道, 摘录, 数据转换
状态：新状态：免费试用您将获得的技能: Data Structures, Scripting, Python Programming, Programming Principles, Development Environment, Virtual Environment
状态：预览Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: 数据结构, 数据操作, 张力流, Python 程序设计, 编程原则, 人工智能, 开发环境, 计算机编程工具, NumPy
状态：新状态：免费试用您将获得的技能: Data Modeling, Power BI, Data Manipulation, Data Literacy, Database Design, Data Transformation, Data Integration, Star Schema, Data Cleansing, Relationship Building
状态：新状态：免费试用您将获得的技能: Seaborn, Matplotlib, NumPy, Scatter Plots, Statistical Visualization, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment, Python Programming
状态：免费试用您将获得的技能: GitHub, Django (Web Framework), Git (Version Control System), Application Deployment, Unit Testing, Cloud Deployment, Database Development, Bootstrap (Front-End Framework), Model View Controller, Virtual Environment, Application Frameworks, PostgreSQL, HTML and CSS, Python Programming
状态：免费试用Advancing Women in Tech
您将获得的技能: 机器学习, 跨职能团队领导, 深度学习, 技术产品管理, 用户体验设计, 产品管理, 人工智能, 工程管理, 面试技巧, 软件设计, 团队领导, 技术交流, 人工智能和机器学习（AI/ML）, 设计师
状态：免费试用Universidad Austral
您将获得的技能: Software Documentation, Object Oriented Design, Unified Modeling Language, Software Design, Test Driven Development (TDD), Unit Testing, Object Oriented Programming (OOP), Development Testing, Programming Principles, Software Quality (SQA/SQC), Software Development, Computer Programming, Python Programming
与 python data science 相关的搜索
总之，以下是 10 最受欢迎的 python data science 课程
- Artificial Intelligence with Python: Foundations to Projects: EDUCBA
- Applied Generative AI & NLP with Python: Packt
- Practical Python: Step-by-Step Guide to Python 3 Basics: Packt
- Aprendiendo Python con circuitos digitales: Coursera
- 数据集成、数据存储和数据迁移: SkillUp
- Mastering Python Sequences and Strings: EDUCBA
- 实用 Python 人工智能编码 1: Korea Advanced Institute of Science and Technology(KAIST)
- Data Modelling Essentials: Packt
- AI Foundations with Python: Build & Visualize: EDUCBA
- Select Topics in Python: Django: Codio
