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在整个课程（说明和评估）中使用的语言。
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“cascading style sheets (css)” 的结果
状态：新Google Cloud
您将获得的技能: Looker (Software), Data Transformation, Data Manipulation, Data Cleansing, Data Visualization Software, Data Processing, SQL, Big Data, Extract, Transform, Load, Business Analytics, Analytics, Jupyter, Data Integrity, Data Store, Data Pipelines, Google Sheets, Data Import/Export, Google Cloud Platform
状态：新Google Cloud
您将获得的技能: Looker (Software), Data Cleansing, Data Transformation, SQL, Big Data, Dashboard, Data Warehousing, Data Analysis, Query Languages, Data Visualization Software, Data Import/Export, Google Sheets, Data Pipelines, Google Cloud Platform
状态：新Google Cloud
您将获得的技能: Looker (Software), Data Transformation, Data Cleansing, Big Data, Data Warehousing, Extract, Transform, Load, SQL, Data Storytelling, Data Analysis, Data Integrity, Data Pipelines, Data Visualization Software, Data Import/Export, Google Sheets, Google Cloud Platform
Universidad de los Andes
您将获得的技能: User Story, Test Driven Development (TDD), Continuous Integration, Version Control, Software Testing, Test Automation, Git (Version Control System), Agile Methodology, Agile Project Management, Agile Software Development, JavaScript Frameworks, Software Architecture, Unit Testing, Acceptance Testing, Web Content Accessibility Guidelines, Regression Testing, Software Design, Software Design Patterns, Maintainability, Application Design
您将获得的技能: Authentications, UI Components, Full-Stack Web Development, Authorization (Computing), File Management, React.js, Application Deployment, Development Environment, JavaScript Frameworks, Web Development Tools, Web Applications, User Interface (UI), User Interface (UI) Design, Content Management, Data Modeling
总之，以下是 5 最受欢迎的 cascading style sheets (css) 课程
- データ アナリストのための BigQuery: Google Cloud
- 데이터 분석가를 위한 BigQuery: Google Cloud
- BigQuery pour les analystes de données: Google Cloud
- Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®: Universidad de los Andes
- Visual Design of UI & Backends with AWS Amplify Studio: Packt
