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：免费试用University of Pennsylvania
您将获得的技能: 人工智能, 自动编码器, 模型评估, 生成对抗网络 (GAN), 生成式人工智能, Algorithm, 客户数据管理, 深度学习, 数据分析, 大数据, 机器学习, 工艺优化, 机器学习算法, 人工神经网络
状态：免费您将获得的技能: Web Scraping, Data Visualization, Data Preprocessing, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Extensible Markup Language (XML), Python Programming, Jupyter, GitHub
您将获得的技能: File I/O, Test Case, Data Validation, Verification And Validation, Scripting, Data Cleansing, Python Programming
状态：新状态：免费试用您将获得的技能: NumPy, Pandas (Python Package), Image Analysis, Data Manipulation, Matplotlib, Computer Vision, Data Analysis, Interactive Data Visualization, Python Programming, Data Visualization, JSON, Programming Principles, Scripting, Scripting Languages, Data Structures, Development Environment, Microsoft Visual Studio, Integrated Development Environments, Computer Programming, Software Installation
状态：新您将获得的技能: Docker (Software), CI/CD, Model Deployment, Cloud Deployment, Cloud Development, Application Performance Management, Google App Engine
您将获得的技能: JSON, Application Programming Interface (API), Application Development, Data Access, Restful API, Python Programming, User Interface (UI)
状态：免费试用Johns Hopkins University
您将获得的技能: 统计建模, 概率与统计, 线性代数, 概率分布, 回归分析, 统计推理, 统计分析, 应用数学, 数据科学, R 语言程序设计（中文版）, 数学建模
状态：预览您将获得的技能: Geospatial Information and Technology, Trend Analysis, Complex Problem Solving
状态：免费University of Alberta
您将获得的技能: 概率与统计, 文化多样性, 沟通, 描述性统计, 研究设计, 研究, 同行评审, 科学方法, 统计分析, 相关性分析, 研究方法, 演绎推理, 媒体与传播
状态：免费试用您将获得的技能: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
状态：免费试用University of Michigan
您将获得的技能: Institutional Review Board (IRB), Clinical Trials, Health Policy, Health Disparities, Clinical Research, Clinical Research Ethics, Health Equity, Healthcare Ethics, Public Health, Epidemiology, Good Clinical Practices (GCP), Pre-Clinical Development, Policty Analysis, Research, and Development, Health Care, Medical Science and Research, Policy Development, Community Health, Policy Analysis, Drug Development, Research
状态：预览Icahn School of Medicine at Mount Sinai
您将获得的技能: 无监督学习, 大数据, 还原式 API, 生物信息学, 监督学习, 数据分析, 交互式数据可视化, 数据整合, 应用编程接口 (API), 元数据管理, 机器学习, 数据处理
总之，以下是 10 最受欢迎的 python data science 课程
- 面向非数据科学家的人工智能基础知识: University of Pennsylvania
- Scrape and analyze data analyst job requirements with Python: Coursera
- Use Python Regular Expressions to Process File Data: Coursera
- Master Python with Real-World Data & Web Projects: Packt
- Data Science Model Deployments and Cloud Computing on GCP: Packt
- Storing, Retrieving, and Processing JSON data with Python: Coursera
- 数据科学高级线性模型 2：统计线性模型: Johns Hopkins University
- Tableau for Data Visualization and Analysis: LearnKartS
- 科学素养: University of Alberta
- R Ultimate 2024 - R for Data Science and Machine Learning: Packt
