运筹学课程
Operator 课程可以帮助您学习优化技术、模拟建模、决策分析和线性规划。您可以培养数据分析、资源分配和风险评估方面的技能，提高各行各业的效率。许多课程都会介绍 Excel Solver、MATLAB 和 Python 库等工具，这些工具有助于复杂问题的解决和数据 Visualization，使您能够在供应链管理、物流和生产规划等实际工作中应用这些技能。
热门运筹学课程和认证
状态：新Google Cloud
您将获得的技能: Jupyter, Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Development Environment, Exploratory Data Analysis
状态：新Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Google Cloud Platform, Systems Design, Applied Machine Learning, Data Validation, Model Evaluation, Technical Design, Performance Tuning, Distributed Computing, Cloud Deployment, Scalability, Data Pipelines, Debugging
您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Google Cloud Platform, Open Source Technology, MLOps (Machine Learning Operations), Model Evaluation, Data Quality
状态：免费试用Coursera
您将获得的技能: Storytelling, Canva (Software), Visual Design, Case Studies, Content Creation, Digital Design, Portfolio Management, Design Strategies, Layout Design, Project Documentation, Graphic and Visual Design, Planning, Strategic Planning, Critical Thinking and Problem Solving, Goal Setting
Google Cloud
您将获得的技能: DevOps, Gemini, IT Infrastructure, Kubernetes, Google Cloud Platform, AI Enablement, Continuous Integration, Artificial Intelligence, Build Tools
您将获得的技能: Big Data, Analytics, Data Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Predictive Modeling, SQL
您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Google Cloud Platform, Predictive Modeling, AI Security
状态：新Google Cloud
您将获得的技能: Google Gemini, Gemini, Generative AI, Google Cloud Platform, AI Enablement, AI Product Strategy, Responsible AI, Cloud Solutions, Artificial Intelligence, Model Deployment, Cloud Infrastructure, Business Strategy, Innovation, MLOps (Machine Learning Operations), Decision Making
Northeastern University
您将获得的技能: Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Inference, Sampling (Statistics), Probability, Statistical Reporting, Statistical Modeling, Exploratory Data Analysis, Statistical Methods, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Experimentation, Data Presentation, Estimation, Statistical Visualization, Correlation Analysis, Reliability
Google Cloud
您将获得的技能: Kubernetes, Google Gemini, DevOps, Google Cloud Platform, Infrastructure as Code (IaC), Devops Tools, Continuous Delivery, Build Tools
Google Cloud
您将获得的技能: Predictive Analytics, Big Data, Predictive Modeling, Advanced Analytics, Google Cloud Platform, MLOps (Machine Learning Operations), Data Analysis, Machine Learning Methods, Data Modeling
Google Cloud
您将获得的技能: Gemini, DevOps, CI/CD, Google Cloud Platform, Kubernetes, Infrastructure as Code (IaC), Development Environment, Cloud Management
总之，以下是 10 最受欢迎的 operations research 课程
- Trabalhar com Notebooks na Vertex AI: Google Cloud
- 프로덕션 머신러닝 시스템: Google Cloud
- Responsible AI for Developers: Fairness & Bias - Deutsch: Google Cloud
- Portfolio Development in Canva: Coursera
- Gemini for DevOps Engineers - 한국어: Google Cloud
- Cómo utilizar BigQuery ML para ejecutar inferencias: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch: Google Cloud
- IA generativa: encare o cenário atual: Google Cloud
- Master of Science in Engineering Management: Northeastern University
- Gemini for DevOps Engineers - Bahasa Indonesia: Google Cloud
