数据质量课程
数据质量课程可以帮助您学习数据 Validation 技术、数据清理方法以及数据管理中准确性的重要性。您可以掌握识别数据异常、实施质量控制流程和确保符合数据标准的技能。许多课程会介绍用于数据操作的 SQL、用于自动化的 Python 和数据可视化软件等工具，以便有效地分析和展示 Cleaning 数据。
热门数据质量课程和认证
状态：新状态：免费试用University of Colorado System
您将获得的技能: Data Governance, AI Enablement, Health Informatics, Machine Learning Algorithms, Analytics, Advanced Analytics, Data-Driven Decision-Making, Artificial Intelligence, Health Information Management, Decision Support Systems, Business Analytics, Predictive Analytics, Machine Learning, Data Integration, Real Time Data, Artificial Neural Networks
Google Cloud
您将获得的技能: 商业智能, 数据迁移, Google 云端平台, 数据导入/导出, 数据管理, Data Management, 数据分析, Query 语言, 数据整合, 数据库开发, 仪表板
您将获得的技能: Kubernetes, Google Cloud Platform, Containerization, Time Series Analysis and Forecasting, Cloud Platforms, Data Store
状态：预览您将获得的技能: Dataflow, Serverless Computing, Identity and Access Management, Data Pipelines, Data Infrastructure, Data Processing, Cloud Security, Apache Hadoop, Google Cloud Platform, Containerization, Scalability
Google Cloud
您将获得的技能: 数据采集, Google 云端平台, 无服务器计算, 数据管道, 云 API, 数据存储, 云存储, 地理信息系统, 非结构化数据, 业务过程, 数据处理
您将获得的技能: Object Oriented Programming (OOP), Java, Algorithms, Application Programming Interface (API), Data Structures
状态：预览您将获得的技能: Dataflow, Data Pipelines, Real Time Data, Data Processing, Performance Tuning, Google Cloud Platform, File I/O, Business Logic, Data Transformation, Jupyter
状态：免费您将获得的技能: Blockchain, Google Cloud Platform, Web Applications, Web Development Tools, OAuth
状态：新您将获得的技能: ASP.NET, Cloud Deployment, Application Deployment, Microsoft Azure, Multi-Tenant Cloud Environments, Cloud Applications, Full-Stack Web Development, User Interface (UI) Design, PostgreSQL, Web Applications, User Interface (UI), Object-Relational Mapping, Database Development, Cloud Services, Database Management, Development Environment, Authentications
Google Cloud
您将获得的技能: Google Gemini, Marketing Analytics, Generative AI, Customer Analysis, Customer Insights, Big Data, Forecasting, Predictive Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)
状态：预览您将获得的技能: Google Cloud Platform, Analytics, Systems Design, Data Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Model Deployment, Data Pipelines, Data Modeling, Cloud Engineering, Database Design, Data Infrastructure, Machine Learning, Data Quality, Scalability, Cloud Storage, Identity and Access Management
状态：免费试用您将获得的技能: Looker (Software), Dashboard, Data Modeling, Pivot Tables And Charts, Digital Transformation, Real Time Data, Data Governance, Google Cloud Platform, Data Presentation, Data Warehousing, Data Management, Cloud Storage, Data Transformation, Data Analysis, Big Data, Data Visualization Software, Analytics, Database Design, Performance Tuning, Exploratory Data Analysis
总之，以下是 10 最受欢迎的 data quality 课程
- The data to decision path for infusion of AI in healthcare: University of Colorado System
- 如何使用 Google Data Studio 和 BigQuery 构建 BI 仪表板: Google Cloud
- Using OpenTSDB to Monitor Time-Series Data on Cloud Platform: Google Cloud
- Serverless Data Processing with Dataflow: Foundations - 日本語版: Google Cloud
- 使用文档 AI 构建端到端数据采集管道: Google Cloud
- Use Java APIs to sort and search a collection of data: Coursera
- Serverless Data Processing with Dataflow: Pipelines - 日本語版: Google Cloud
- Building Fitness-Driven dApps: Streaming Google Fit Data with W3bstream: Google Cloud
- End-to-End ASP.NET Core - PostgreSQL Data Stores & Azure Services: Packt
- Gemini for Data Scientists and Analysts - 日本語版: Google Cloud
