精算学课程
精算学课程可以帮助您学习风险评估、统计建模、金融数学和保险原理。您可以掌握数据分析、预测建模和评估各种情况下的金融风险的技能。许多课程都会介绍 R、Excel 和专项精算软件等工具，这些工具有助于分析数据并在保险和金融领域做出明智的决策。
热门精算学课程和认证
状态：新您将获得的技能: Apache Airflow, MLOps (Machine Learning Operations), Multi-Tenant Cloud Environments, Data Pipelines, Workflow Management, Business Workflow Analysis, Cloud Deployment, Continuous Deployment, CI/CD, Devops Tools, DevOps, Configuration Management, Python Programming, Scalability, Performance Tuning, System Monitoring
状态：免费试用Duke University
您将获得的技能: 回归分析, 探索性数据分析, 模型评估, 预测建模, 相关性分析, 数学建模, R 语言程序设计（中文版）, R（软件）, 统计, 统计推理, 统计建模, 数据分析软件, 统计分析, 概率与统计
状态：新状态：免费试用您将获得的技能: Maintainability
状态：新状态：免费试用Edureka
您将获得的技能: Data Analysis Expressions (DAX), Power BI, Dashboard, Business Intelligence, Data Modeling, Data Storytelling, Extract, Transform, Load, Data Transformation, Data Visualization, Snowflake Schema, Business Analytics, Data Lakes, Data-Driven Decision-Making, Key Performance Indicators (KPIs), Data Analysis, Data Governance, Python Programming, Generative AI, Artificial Intelligence, Data Security
状态：预览Universidade de São Paulo
您将获得的技能: Object Oriented Programming (OOP), Computer Programming, Theoretical Computer Science, Python Programming, Algorithms, Data Structures, Computer Science, Computational Thinking, Software Testing, Performance Testing
状态：免费试用University of California, Irvine
您将获得的技能: 调试, 数据访问, 计算机编程工具, 系统编程, 后端网站开发
状态：新状态：免费试用您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control
状态：新状态：免费试用您将获得的技能: User Acceptance Testing (UAT), Product Requirements, LLM Application, User Requirements Documents, Acceptance Testing, AI Product Strategy, Large Language Modeling, User Story, Functional Requirement, Functional Testing, Business Requirements, Scenario Testing, Requirements Analysis, Risk Management Framework, Key Performance Indicators (KPIs), Technical Communication
状态：新状态：免费试用您将获得的技能: ASP.NET, .NET Framework, Responsive Web Design, HTML and CSS, C# (Programming Language), Web Applications, Web Development, Javascript and jQuery, UI Components, Application Frameworks, Bootstrap (Front-End Framework), Development Environment, Restful API, Microsoft Development Tools, React Redux, Model View Controller, Middleware
状态：新状态：免费试用LearnQuest
您将获得的技能: Data Ethics, Predictive Modeling, No-Code Development, Model Deployment, Data Visualization, Data Presentation, Responsible AI, Data-Driven Decision-Making, Advanced Analytics, Business Intelligence, Business Analytics, Data Cleansing, Business Reporting, Global Marketing, LLM Application, AI Enablement, User Feedback, Data Preprocessing, Predictive Analytics, Data Architecture
状态：新您将获得的技能: Prompt Engineering, Prompt Patterns, Prompt Engineering Tools, Artificial Intelligence, Generative AI
状态：新状态：免费试用Microsoft
您将获得的技能: Responsible AI, Containerization, Scalability, AI Orchestration, Application Deployment, Kubernetes, Azure Active Directory, System Monitoring, AI Workflows, Agentic systems, Artificial Intelligence, Microsoft 365, Microservices, Generative AI Agents, Enterprise Architecture, Microsoft Azure, AI Security, Enterprise Security, Role-Based Access Control (RBAC), Coordination
总之，以下是 10 最受欢迎的 actuarial science 课程
- Apache Airflow Best Practices: Packt
- 线性回归与建模: Duke University
- Java: Data Types, Operators and Decision Constructors: Whizlabs
- Power BI Developer: Edureka
- Introdução à Ciência da Computação com Python Parte 2: Universidade de São Paulo
- Go 入门: University of California, Irvine
- Agentic AI Performance & Reliability: Coursera
- Develop and Evaluate LLM Features Effectively: Coursera
- Introduction to ASP.NET Core Framework: Microsoft
- Build AI Apps with No-Code Tools: LearnQuest
