数据清理课程
数据 Cleaning 课程可以帮助您学习识别和纠正数据集中的错误、处理缺失值以及规范数据格式的技术。您可以掌握数据 Validation、Outlier 检测以及将原始数据 Transformer 成可用格式等方面的技能。许多课程都会介绍一些工具，如 Pandas 和 NumPy 等 Python 库，以及 OpenRefine 等软件，这些工具支持高效执行数据分析任务并确保数据质量，以便进行分析。
热门 Data Cleaning 课程和认证
状态：新Google Cloud
您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Preprocessing, Development Environment
您将获得的技能: Retrieval-Augmented Generation, Generative AI, Google Gemini, Vector Databases, Embeddings, Prompt Engineering, Data Pipelines, Google Cloud Platform
状态：免费试用您将获得的技能: Responsible AI, Data Ethics, Applied Machine Learning, Data Integrity, Machine Learning, Artificial Intelligence, Model Evaluation, Data Visualization Software
您将获得的技能: Google Cloud Platform, Service Level, Technical Support and Services, Technical Support, Cloud Services, Identity and Access Management, Issue Tracking, File Management, Technical Communication, Personally Identifiable Information
您将获得的技能: Responsible AI, Google Cloud Platform, Data Ethics, AI Security, Open Source Technology, Artificial Intelligence, Model Evaluation, Data Validation
您将获得的技能: Responsible AI, Data Analysis, Data Preprocessing, Artificial Intelligence, Exploratory Data Analysis, Model Evaluation, Machine Learning, Technical Documentation, Data Validation
您将获得的技能: Cloud Applications, Cloud-Native Computing, Google Cloud Platform, Application Development, Cloud Platforms, Application Design, Cloud API, Cloud Storage, Public Cloud, Cloud Services, Data Storage, Scalability
Google Cloud
您将获得的技能: Predictive Analytics, Big Data, Predictive Modeling, Advanced Analytics, Google Cloud Platform, MLOps (Machine Learning Operations), Data Analysis, Machine Learning Methods, Data Modeling
您将获得的技能: Google Gemini, Generative AI, Customer Relationship Management, Predictive Modeling, SQL, Big Data, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Model Evaluation, Python Programming
状态：新状态：免费试用Google Cloud
您将获得的技能: Responsible AI, Google Cloud Platform, Generative AI, Gemini, AI Product Strategy, AI Enablement, Data Governance, Cloud Infrastructure, Artificial Intelligence, Model Deployment, MLOps (Machine Learning Operations)
状态：新您将获得的技能: Information Architecture, User Experience, Content Management, Usability, UI/UX Research, Usability Testing, Design Research, User Centered Design, User Research, Statistical Analysis, Content Strategy, Goal Setting, Sample Size Determination
状态：预览Google Cloud
您将获得的技能: Big Data, Analytics, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning
与 data cleaning 相关的搜索
总之，以下是 10 最受欢迎的 data cleaning 课程
- Vertex AI でノートブックを使用する: Google Cloud
- Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery: Google Cloud
- Geliştiriciler için Sorumlu Yapay Zeka: Yorumlanabilirlik ve Şeffaflık: Google Cloud
- Google Cloud Customer Care Fundamentals - Français: Google Cloud
- Responsible AI for Developers: Fairness & Bias - Українська: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - Polski: Google Cloud
- Getting Started with Application Development - Português: Google Cloud
- 透過 BigQuery 機器學習執行推論作業: Google Cloud
- Work with Gemini Models in BigQuery - Português Brasileiro: Google Cloud
- 생성형 AI: 환경 살펴보기: Google Cloud
