食品科学课程可以帮助您了解食品安全、营养、感官评估和食品加工技术。您可以掌握配方制定、质量控制和了解食品化学方面的技能。许多课程都会介绍一些工具,如分析口味测试的统计软件、测试食品特性的实验室设备以及预测保质期的食品建模软件,让您在实际的食品生产和创新中应用这些技能。

您将获得的技能: Unreal Engine, 3D Assets, Virtual Environment, 3D Modeling, Computer Graphics, Architectural Design, Visualization (Computer Graphics), Building Design, Performance Tuning
高级设置 · 课程 · 1-3 个月

您将获得的技能: Excel Formulas, Microsoft Excel, Spreadsheet Software, Pivot Tables And Charts, Statistical Analysis, Data Manipulation, Descriptive Statistics, Data Analysis, Data Cleansing, Data Presentation
中级 · 课程 · 1-3 个月

Microsoft
您将获得的技能: 数据清理, 数据存储技术, 数据转换, 数据操作, Power BI, 数据分析, Data Validation, 数据存储, 数据整合, 数据质量, 数据完整性, 数据导入/导出, 摘录
初级 · 课程 · 1-4 周

University of Minnesota
您将获得的技能: 测试自动化, 软件测试, 验证和确认, 单元测试, 功能测试, 测试数据, 测试案例, 系统测试, 开发测试, 白盒测试, 软件质量保证, 测试计划, 代码覆盖范围, JUnit
中级 · 课程 · 1-4 周

您将获得的技能: Performance Tuning, Splunk, Role-Based Access Control (RBAC), Scripting, Servers, Security Controls, Data Pipelines, Application Performance Management, System Monitoring, Data Infrastructure, Windows Servers, Network Troubleshooting, Distributed Computing, Systems Administration, System Configuration, Data Management, Security Information and Event Management (SIEM), Configuration Management, Debugging, Performance Improvement
初级 · 专项课程 · 3-6 个月

您将获得的技能: Kibana, Dashboard, Interactive Data Visualization, Data Visualization, Data Visualization Software, Grafana, Graphing, Data Analysis, Splunk, Real Time Data, Anomaly Detection, Applied Machine Learning, Time Series Analysis and Forecasting, Query Languages, SQL, Role-Based Access Control (RBAC), Qualitative Research
初级 · 课程 · 1-3 个月

您将获得的技能: 机器学习, 自然语言处理, 卷积神经网络, 网络架构, 回归分析, 模型评估, 深度学习, 迁移学习, 分类与回归树 (CART), 递归神经网络 (RNN), Keras(神经网络库), 图像分析, 人工神经网络
中级 · 课程 · 1-3 个月
Duke University
您将获得的技能: 商业分析, 分类算法, 数据分析, 逻辑回归, 模型评估, 微软Excel, 预测建模, 商业风险管理
初级 · 课程 · 1-3 个月

Coursera
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
中级 · 专项课程 · 3-6 个月

Microsoft
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
中级 · 课程 · 1-3 个月

您将获得的技能: Prompt Engineering, Prompt Patterns, Prompt Engineering Tools, Artificial Intelligence, Generative AI
初级 · 课程 · 1-4 周

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
中级 · 课程 · 1-4 周