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Google Cloud
您将获得的技能: Google Workspace, User Provisioning, User Accounts, Cloud Services, Systems Administration, Identity and Access Management
您将获得的技能: Jest (JavaScript Testing Framework), Unit Testing, Test Case, React.js, API Testing, Test Driven Development (TDD), Software Testing, Mockups, Javascript
Coursera
您将获得的技能: AWS CloudFormation, Amazon Web Services, Amazon Elastic Compute Cloud, Event-Driven Programming, Serverless Computing, Event Monitoring, Software Engineering
状态：免费试用University of Houston
您将获得的技能: 健康教育, 数据管理, Data Management, 健康技术, 业务管理, 公共卫生与疾病预防, 慢性疾病, 健康信息学, 互操作性, 医疗管理, 个案管理, 公共卫生, 基于价值的护理, 预防保健, 护理管理, 初级保健, 使用管理, 以患者为中心的护理
您将获得的技能: Persona (User Experience), User Experience Design, User Interface (UI), Miro AI, User Experience, User Centered Design, Customer Insights, Collaborative Software, Diversity and Inclusion, Product Development
状态：免费试用L&T EduTech
您将获得的技能: Hazardous Waste Operations And Emergency Response Standard (HAZWOPER), Environmental Engineering, Waste Minimization, Environmental Regulations, Construction, Radiation Protection, Chemical Engineering, Pollution Prevention, Sustainable Technologies, Environmental Science, Environment and Resource Management
状态：免费试用Kennesaw State University
您将获得的技能: 概率与统计, 统计推理, 回归分析, 数据分析, 分析, 样本量的确定, 抽样（统计）, 六西格玛方法, 统计假设检验, 精益六西格玛, 风险分析, 相关性分析, 过程分析, 统计分析
状态：免费试用Google Cloud
您将获得的技能: Network Security, 威胁检测, Google 云端平台, 网络监控, 代理服务器, 基础设施安全, 身份和访问管理, Distributed Denial-Of-Service (DDoS) 攻击, 防火墙, 入侵检测和防御, 云安全
状态：免费试用Università di Napoli Federico II
您将获得的技能: Market Liquidity, Derivatives, Securities Trading, Financial Regulation, Financial Market, Securities (Finance), FinTech, Financial Systems, Banking, Financial Trading, Financial Services, Market Dynamics, Finance, Actuarial Science, Commercial Banking, Investments, Futures Exchange, Financial Statements, Risk Modeling, Equities
状态：免费试用您将获得的技能: Responsive Web Design, LinkedIn, Cascading Style Sheets (CSS), Front-End Web Development, HTML and CSS, Web Design and Development, Professional Development, Web Development, Javascript, GitHub
您将获得的技能: Power Apps Component Framework, UI Components, Business Process Automation, No-Code Development, Microsoft Power Platform, Automation, Application Development, Database Application, Microsoft 365, Data Integration
状态：免费试用您将获得的技能: Docker (软件), 前端集成, Kubernetes, 集装箱化, 数据库, NoSQL, 还原式 API, Node.JS, MongoDB, Authentication, Devops, 数据库管理, CI/CD, 后端网站开发, 应用编程接口 (API), 软件技术审查, IBM 云, 微服务, 应用程序部署
总之，以下是 10 最受欢迎的 python data science 课程
- Introduction to Google Workspace 日本語版: Google Cloud
- Unit Testing in React.js: Create a Unit Test Suite: Coursera
- Amazon Event Bridge and Lambda: Coursera
- 基于价值的护理：管理流程以改善成果: University of Houston
- Create Personas to Represent Targeted Users in Miro: Coursera
- Hazardous Waste Management: L&T EduTech
- 6σ 黑带的分析阶段: Kennesaw State University
- Google Cloud 中的 Networking：网络安全: Google Cloud
- Financial Markets: Università di Napoli Federico II
- Frontend Job Interview Questions: Scrimba
