个结果，搜索词为 "material handling"
状态：免费试用您将获得的技能: Python 程序设计, 数据结构, 数据操作, 数据导入/导出, Pandas（Python 软件包）, 网页抓取, 自动化, 还原式 API, 编程原则, 计算机编程, 应用编程接口 (API), 文件输入/输出, 面向对象编程（OOP）, NumPy, JSON, Jupyter, 数据分析
状态：免费试用L&T EduTech
您将获得的技能: Structural Engineering, Construction Engineering, Construction, Engineering Management, Equipment Design, Construction Management, Engineering Practices, Hydraulics, Architecture and Construction, Mechanics, Safety Standards, Engineering, General Construction and Construction Labor, Engineering Calculations, Civil Engineering, Structural Analysis, Mechanical Engineering, Hazard Analysis, Engineering Analysis, Transportation Operations
状态：免费试用Arizona State University
您将获得的技能: Materials science, Failure Analysis, Semiconductors, Manufacturing Processes, Chemical Engineering, Structural Analysis, Mechanical Engineering, Chemistry, Thermal Management, Engineering, Laboratory Testing, Physical Science, Physics, Engineering Calculations, Engineering Analysis, Reliability
状态：免费试用Northwestern University
您将获得的技能: 应用数学, 工程计算, 机械, 机器控制, 虚拟环境, 振动, 自动化工程, 工程分析, 控制系统, 工程学, 自动化, 数学软件, 图论, 机器人, 人工智能, 机械工程, Matlab, 数学建模, 模拟和模拟软件, 扭矩（物理学）
状态：免费试用L&T EduTech
您将获得的技能: Construction Engineering, Laboratory Testing, Construction, Construction Inspection, Production Process, Construction Management, Manufacturing Operations, Plant Operations and Management, Manufacturing Processes, Civil Engineering, Safety Assurance, Product Testing, Engineering Plans And Specifications, Materials science, Structural Engineering, Sustainable Engineering, Manufacturing Standards, Analytical Testing, Chemistry, Water Quality
状态：免费试用Johns Hopkins University
您将获得的技能: Model Evaluation, 交互式数据可视化, 预测建模, 统计推理, 统计分析, 机器学习, 机器学习算法, 数据科学, 数据操作, 回归分析, R 语言程序设计（中文版）, Plotly, Rmarkdown, 探索性数据分析, 数据清理, 统计假设检验, 闪亮（R 套件）, GitHub, 绘图（图形）, 版本控制
是什么让您今天来到 Coursera？
状态：免费试用L&T EduTech
您将获得的技能: Construction, Construction Inspection, Construction Management, Equipment Design, Construction Engineering, Construction Estimating, Product Lifecycle Management, Cost Estimation, Building Codes, Engineering Practices, Commercial Construction, Machine Controls, Plant Operations and Management, Structural Engineering, Environmental Engineering, Automation Engineering, Facility Management and Maintenance, Engineering Plans And Specifications, Architecture and Construction, Civil Engineering
状态：免费试用IBM
您将获得的技能: 统计分析, 数据科学, 微软Excel, 数据叙事, 大数据, 分析, Data Mart, 数据转换, Apache Spark, 数据分析, 数据清理, Apache Hadoop, 数据湖, Apache Hive, 数据可视化软件, 数据仓库, 数据可视化, 关系数据库
状态：免费试用Board Infinity
您将获得的技能: Cloud Computing, Cloud Computing Architecture, Process Optimization, Cloud Deployment, Process Improvement, Manufacturing Operations, Manufacturing and Production, Internet Of Things, Innovation, Workforce Development, Robotics, Cybersecurity, Manufacturing Processes, Augmented and Virtual Reality (AR/VR), Blockchain, Cloud Security, Cyber Attacks, Industrial Engineering, Automation, Change Management
状态：免费试用Vanderbilt University
您将获得的技能: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, Productivity, OpenAI, Creative Problem-Solving, Generative AI, Expense Reports, AI Enablement, AI Personalization, Image Analysis, Artificial Intelligence, Innovation, Brainstorming, Large Language Modeling, Game Design, Expense Management, Organizational Skills, Computer Vision
状态：免费试用Johns Hopkins University
您将获得的技能: 统计建模, Model Evaluation, 交互式数据可视化, 预测建模, 统计分析, 统计推理, 回归分析, 机器学习算法, R 语言程序设计（中文版）, Rmarkdown, 机器学习, Plotly, 统计机器学习, 闪亮（R 套件）, GitHub, 统计假设检验, 概率与统计, 探索性数据分析, 数据展示, 数据可视化
状态：免费试用Arizona State University
您将获得的技能: 物理科学, 物理学, 化学, 半导体, 材料科学, 工程学, 化学工程, 机械工程
总之，以下是 10 最受欢迎的 material handling 课程
- 用于数据科学、人工智能和开发的 Python: IBM
- Strategies for Heavy Lifting: L&T EduTech
- Materials Science for Technological Application: Arizona State University
- 现代机器人学 机械、规划和控制: Northwestern University
- Mastering Concrete Techniques: L&T EduTech
- 数据科学: Johns Hopkins University
- Construction Techniques and Practices: L&T EduTech
- 数据分析导论: IBM
- Advances in Manufacturing Technology: Board Infinity
- Prompt Engineering for Educators: Vanderbilt University
