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：免费试用Johns Hopkins University
您将获得的技能: 统计分析, 模型评估, 创建调查, 定量研究, 抽样（统计）, 数据建模, 研究方法, 统计方法, 数据分析, 研究设计, 数据质量, 数据转换
状态：免费试用IBM
您将获得的技能: SQL, 关系数据库, Python 程序设计, 数据库设计, 大数据, IBM DB2, IBM Cognos 分析, MongoDB, 数据架构, Apache Spark, MySQL, 数据管道, 数据库, 数据仓库, PostgreSQL, 数据分析, NoSQL, 统计报告, 摘录, 应用机器学习
状态：免费试用Imperial College London
您将获得的技能: Run Chart, Qualitative Research, Continuous Quality Improvement (CQI), Health Informatics, Quantitative Research, Data Collection, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Systems Of Measurement, Time Series Analysis and Forecasting
状态：免费试用Microsoft
您将获得的技能: Data Analysis Expressions (DAX), Data Ethics, Data Modeling, Data Governance, Data Architecture, Database Design, Power BI, Star Schema, Information Privacy, Data Visualization Software, Data Security, Data Integrity, Snowflake Schema, Relational Databases, Data Cleansing
状态：新状态：免费试用Microsoft
您将获得的技能: Data Manipulation, Data Cleansing, Data Quality, Data Preprocessing, Tidyverse (R Package), Data Transformation, R Programming, Text Mining, Data Validation, Generative AI, Anomaly Detection
状态：免费您将获得的技能: Data Validation, Data Cleansing, Alteryx, Data Quality, Microsoft Excel, Data Integrity, Data Integration, Data Import/Export, Data Loss Prevention, Anomaly Detection
您将获得的技能: Data Manipulation, Data Pipelines, Data Transformation, Data Quality, Data Cleansing, Data Preprocessing, Data Import/Export, Extract, Transform, Load, Exploratory Data Analysis, Big Data, Google Analytics
Google Cloud
您将获得的技能: Big Data, Data Cleansing, Exploratory Data Analysis, Google Analytics, Data Integration, Data Manipulation, SQL, Database Administration
状态：免费试用DeepLearning.AI
您将获得的技能: Web Scraping, Extract, Transform, Load, Data Manipulation, Data Preprocessing, Data Validation, Data Ethics, Data Cleansing, SQL, Data Transformation, JSON, Pandas (Python Package), Generative AI, Relational Databases, Data Integrity, Unstructured Data, Application Programming Interface (API)
状态：新状态：预览Microsoft
您将获得的技能: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Cleansing, Data Preprocessing, R Programming, Data Structures
Google Cloud
您将获得的技能: Data Loss Prevention, Personally Identifiable Information, Information Privacy, JSON, Data Security, Cloud API, Google Cloud Platform, Data Cleansing, Cloud Storage
状态：免费试用Johns Hopkins University
您将获得的技能: SQL, 关系数据库, 谷歌工作表, 可扩展标记语言（XML）, 数据转换, 数据操作, 电子表格软件, 数据导入/导出, 非结构化数据, 网页抓取, 数据整合, 应用编程接口 (API), R 语言程序设计（中文版）, 数据库, Tidyverse（R 软件包）
与 data quality 相关的搜索
总之，以下是 10 最受欢迎的 data quality 课程
- 测量--将概念转化为数据: Johns Hopkins University
- 数据工程顶点项目: IBM
- Using Data for Healthcare Improvement: Imperial College London
- Data Modeling and Architecture: Microsoft
- Data Manipulation and Cleaning in R: Microsoft
- Data Validation with Alteryx: Testing and Optimization Tools: Coursera
- Creating a Data Transformation Pipeline with Cloud Dataprep: Google Cloud
- Troubleshooting and Solving Data Join Pitfalls: Google Cloud
- Data I/O and Preprocessing with Python and SQL: DeepLearning.AI
- Reshaping Data with tidyr: Microsoft
