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
您将获得的技能: Databricks, Data Lakes, Data Pipelines, Data Integration, Dashboard, PySpark, SQL, Apache Spark, Data Management, Data Transformation, Version Control
状态：免费试用Microsoft
您将获得的技能: 回归分析, 分布式计算, PySpark, Apache Spark, 大数据, 深度学习, 机器学习, 机器学习软件, 数据转换, 微软 Azure, 模型部署, MLOps（机器学习 Operator）, 数据处理, 数据库, Model Evaluation, 探索性数据分析
状态：新状态：免费试用您将获得的技能: Cloud Infrastructure, Microsoft Azure, Infrastructure As A Service (IaaS), Data Processing, Big Data, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Databricks, Infrastructure Security, Data Pipelines, Virtual Networking, Azure DevOps, Virtual Machines, Azure Active Directory, Analytics, Active Directory, Network Security, Model Deployment, Python Programming, Role-Based Access Control (RBAC)
状态：新状态：免费试用Pragmatic AI Labs
您将获得的技能: Databricks, Data Lakes, Data Engineering, Data Wrangling, Apache Spark, Data Access, Data Processing, Data Warehousing, Data Architecture, Data Management, Data Synthesis, Data Science, Data Mining, Data Integrity, Data Modeling, Data Presentation, Data Entry, Data Storage, SQL, Python Programming
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: 数据管道, 分类算法, 负责任的人工智能, 信息隐私, 数据分析, 分布式计算, 卷积神经网络, Virtual Machine, 数据伦理, 机器学习软件, 监督学习, Transfer Learning, 机器学习, Model Evaluation, 数据转换, 数据处理, 模型部署, 数据预处理, 张力流, 图像分析
状态：新您将获得的技能: Apache Spark, PySpark, Databricks, Data Pipelines, Data Processing, Big Data, Apache, Real Time Data, Python Programming, Model Evaluation, Machine Learning, SQL, Data Transformation, Performance Tuning, Distributed Computing
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：免费试用Duke University
您将获得的技能: 数据管道, 负责任的人工智能, 拥抱的脸, 分析, 生成式人工智能, 模型部署, 数据分析, 数据科学, 数据湖, 机器学习, 数据处理, 数据转换, MLOps（机器学习 Operator）, 大型语言模型, 数据库, 摘录
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：预览您将获得的技能: Data-Driven Decision-Making, Data Management, Database Development
是什么让您今天来到 Coursera？
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
- Data Management with Databricks: Big Data with Delta Lakes: Coursera
- 使用 Azure Databricks 执行数据科学: Microsoft
- Microsoft Azure: AI, Infrastructure, and Data Solutions: LearnQuest
- Databricks Lakehouse Fundamentals: Pragmatic AI Labs
- Microsoft Azure 数据科学家协理 (DP-100) 考试准备: Microsoft
- Databricks Associate Developer: Apache Spark with Python: Packt
- Learn SQL with Databricks: Edureka
- 连接本地 LLM 的数据库桥接器: Duke University
