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
您将获得的技能: Data Lakes, Data Processing, Google Cloud Platform, Data Warehousing, Data Integration, Data Management, Data Pipelines, Data Governance, Analytics, Data Quality, Data Security, Identity and Access Management, Automation
Edureka
您将获得的技能: PySpark, Data Pipelines, Dashboard, Data Processing, Data Storage Technologies, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Data Storage, Machine Learning, Data Transformation, Deep Learning, Logistic Regression
您将获得的技能: Real Time Data, Data Pipelines, Data Transformation, Data Integration, Data Processing, Extract, Transform, Load, Power BI, Data Lakes, PySpark, Apache Spark, Data Quality, Data Governance, Analytics
您将获得的技能: Azure Synapse Analytics, Data Migration, Microsoft Azure, Data Warehousing, SQL Server Integration Services (SSIS), Microsoft SQL Servers, Cloud Security, Performance Tuning, System Configuration, Cloud Storage, Cloud Computing Architecture, Data Security, Apache Spark, Data Integration
University of California San Diego
您将获得的技能: 可扩展性, 分布式计算, PySpark, 大数据, Python 编程, 数据处理, Apache Spark, 数据分析, 数据科学, 数据基础设施, 性能调整, Apache Hadoop, 数据存储
您将获得的技能: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Big Data, Data Warehousing, Strategic Decision-Making, Apache Spark, Data Integration, Data Processing, Data Management, Data Analysis, Scalability
Microsoft
您将获得的技能: 模型评估, 监督学习, MLOps（机器学习运营）, 模型部署, Databricks, Scikit Learn（机器学习库）, 回归分析, 无监督学习, 应用机器学习, 人工智能和机器学习（AI/ML）, Microsoft Azure, 负责任的人工智能, 机器学习, 虚拟机, 预测建模, 分类算法, 数据管道
Google Cloud
您将获得的技能: 数据转换, 数据流, 实时数据, JSON, 查询语言, 数据处理, Jupyter, 文件输入/输出, 性能调整, 数据管道
Microsoft
您将获得的技能: 模型部署, 模型评估, 数据预处理, Databricks, 深度学习, MLOps（机器学习运营）, 负责任的人工智能, 预测建模, 机器学习, 人工智能和机器学习（AI/ML）, Microsoft Azure, 数据科学, 应用机器学习
您将获得的技能: Extract, Transform, Load, Apache Spark, Data Pipelines, PySpark, Apache Hadoop, Data Transformation, MySQL, Data Manipulation, Java Platform Enterprise Edition (J2EE), Data Import/Export, Data Persistence, Development Environment, Software Installation
您将获得的技能: Data Lakes, Microsoft Azure, Stored Procedure, Data Architecture, Performance Tuning, Data Management, Query Languages, Data Manipulation, Scripting, SQL, Data Processing, Windows PowerShell, Microsoft Visual Studio, Command-Line Interface, Heat Maps
Microsoft
您将获得的技能: 模型评估, 信息隐私, 数据伦理, 数据预处理, Databricks, 模型部署, MLOps（机器学习运营）, 持续监测, 数据安全, 云计算, 性能调整, Microsoft Azure, 机器学习, 负责任的人工智能, 数据管道
总之，以下是 10 最受欢迎的 databricks 课程
- Managing Data Lakes & Pipelines with Google Cloud Dataplex: Board Infinity
- PySpark for Data Science: Edureka
- Microsoft Fabric: Ingest and Transform Data: Whizlabs
- Azure SQL Data Warehouse Synapse Analytics Service: Packt
- Hadoop 平台和应用框架: University of California San Diego
- Data Engineering: Pipelines, ETL, Hadoop: Coursera
- 面向数据科学家的 Microsoft Azure 机器学习: Microsoft
- 使用数据流进行无服务器数据处理：开发管道: Google Cloud
- 准备 DP-100：Microsoft Azure 数据科学考试: Microsoft
- Apache Spark: Design & Execute ETL Pipelines Hands-On: EDUCBA
