Databricks 课程
Databricks 课程可以帮助您学习数据工程、机器学习和数据解析，以及 Delta Lake 和 Apache Spark 等概念。您可以掌握数据管道创建、协作数据科学和优化数据 Workflow 的技能。许多课程都会介绍 Databricks notebooks 和 MLflow 等工具，这些工具可以促进机器学习模型的开发和部署，使您能够更有效地管理数据并简化解析流程。
热门 Databricks 课程和认证
状态：免费试用您将获得的技能: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, File Systems, Development Testing, Data Processing, Data Quality
状态：免费试用您将获得的技能: Databricks, Apache Spark, Microsoft Azure, Data Integration, PySpark, Data Lakes, Jupyter, File Systems, Data Processing, Big Data, Cloud Storage, Cloud Computing Architecture
状态：新状态：免费试用您将获得的技能: Star Schema, Snowflake Schema, Data Lakes, Data Governance, Data Warehousing, CI/CD, Microsoft Azure, Database Design, Power BI, Real Time Data, Data Pipelines, Data Management, Data Architecture, Extract, Transform, Load, Microsoft Copilot, Cost Control, Data Modeling, Transact-SQL, SQL, Cloud Infrastructure
状态：免费试用Microsoft
您将获得的技能: 机器学习, 模型评估, 机器学习软件, 大数据, 深度学习, 模型部署, 探索性数据分析, 回归分析, PySpark, MLOps（机器学习 Operator）, 分布式计算, 数据处理, 数据库, 数据转换, Apache Spark, 微软 Azure
您将获得的技能: Databricks, Data Lakes, Data Pipelines, Data Integration, Extract, Transform, Load, Dashboard, PySpark, SQL, Apache Spark, Pandas (Python Package), Data Management, Data Transformation, Version Control
状态：免费试用Duke University
您将获得的技能: 机器学习, 大型语言模型, 负责任的人工智能, 数据分析, 数据科学, 数据湖, 拥抱的脸, 模型部署, 数据管道, 数据处理, 数据转换, 摘录, 数据库, MLOps（机器学习 Operator）, 分析, 生成式人工智能
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: 机器学习, 负责任的人工智能, 模型评估, 监督学习, 机器学习软件, 信息隐私, 持续监测, 分类算法, 数据管道, 迁移学习, 分布式计算, 云计算管理, 数据处理, 卷积神经网络, 数据预处理, 数据转换, 张力流, 数据伦理, 模型部署, Pandas（Python 软件包）
状态：预览Edureka
您将获得的技能: SQL, Data Management, Database Design, Databases, Apache Spark, Data Integrity, Data Architecture, Data Processing
状态：预览您将获得的技能: Data-Driven Decision-Making, Data Management, Database Development
状态：新状态：预览您将获得的技能: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering
状态：免费试用您将获得的技能: Apache Hadoop, 可扩展性, Kubernetes, 大数据, 数据处理, 分布式计算, PySpark, Apache Hive, 分析, Apache Spark, 性能调整
状态：新您将获得的技能: Databricks, Data Lakes, Data Transformation, Data Quality, Data Infrastructure, Data Governance, Data Pipelines, Real Time Data, Data Warehousing, Data Management, Terraform, Data Validation, Apache Spark, Data Integrity, Data Storage, Continuous Deployment, Cloud Computing, Scalability, Data Security
总之，以下是 10 最受欢迎的 databricks 课程
- Mastering Azure Databricks for Data Engineers: Packt
- Fundamentals of Azure Databricks: Packt
- Microsoft Data Architecture for Modern Data Stacks: Microsoft
- 使用 Azure Databricks 执行数据科学: Microsoft
- Data Management with Databricks: Big Data with Delta Lakes: Coursera
- 连接本地 LLM 的数据库桥接器: Duke University
- Microsoft Azure 数据科学家协理 (DP-100) 考试准备: Microsoft
- Learn SQL with Databricks: Edureka
- Business Intelligence with Databricks: Edureka
- Databricks Machine Learning Fundamentals: Coursera
