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。

Microsoft
您将获得的技能: Power BI, 数据可视化软件, 分析, 数据库, 微软 Azure, 商业智能, 数据仓库, 云服务, 云存储, 大数据, 数据架构, 数据处理, 数据可视化, 数据湖, 数据管道, 数据整合, Azure 突触分析
初级 · 课程 · 1-4 周

您将获得的技能: Azure Synapse Analytics, Microsoft Azure, Data Lakes, Databricks, Data Pipelines, Data Architecture, Apache Spark, Data Storage Technologies, Big Data, Cloud Storage, Data Infrastructure, Data Storage, Data Processing, Microsoft SQL Servers, Data Integration, Event-Driven Programming, Extract, Transform, Load, Operational Databases, Real Time Data, System Monitoring
初级 · 课程 · 1-4 周

您将获得的技能: 机器学习算法, PySpark, 生成式人工智能, Apache Hadoop, Apache Spark, 监督学习, 大数据, MongoDB, 机器学习, Apache Hive, Apache Cassandra, NoSQL, 数据库, 分布式计算, IBM 云, 摘录, Model Evaluation, 数据管道, 应用机器学习, Kubernetes
初级 · 专项课程 · 3-6 个月

您将获得的技能: Data Integration, Data Pipelines, Data Lakes, Microsoft Azure, Azure Synapse Analytics, Performance Tuning, Data Processing, Data Migration, Data Transformation, Data Validation, Microsoft SQL Servers, Data Storage
中级 · 课程 · 1-4 周

您将获得的技能: Azure Synapse Analytics, Microsoft Azure, Databricks, Big Data, Distributed Computing, Public Cloud, Cloud Computing, Data Lakes, Cloud Computing Architecture, Data Processing, Scalability, Data Storage Technologies, Analytics, Real Time Data
中级 · 课程 · 1-3 个月

Coursera
您将获得的技能: AI Workflows, AI Enablement, Databricks, Scalability, AI Orchestration, Workflow Management, MLOps (Machine Learning Operations), Strategic Thinking, Responsible AI, Model Deployment, Business Strategy, Automation, Real Time Data
初级 · 课程 · 1-4 周

Duke University
您将获得的技能: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming
高级设置 · 课程 · 1-4 周

Duke University
您将获得的技能: Data Visualization Software, PySpark, Data Visualization, Data Storytelling, Statistical Visualization, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Matplotlib, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
中级 · 专项课程 · 1-3 个月

Pearson
您将获得的技能: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Data Lakes, Analytics, Data Processing, Data Import/Export, Data Integration, Linux Commands, File Systems, Text Mining, Data Transformation, Data Management, Distributed Computing, Command-Line Interface, Relational Databases, Java, C++ (Programming Language)
中级 · 专项课程 · 1-4 周

您将获得的技能: Databricks, CI/CD, Microsoft Azure, Data Architecture, Integration Testing, Data Pipelines, Data Integration, Data Storage Technologies, Data Security, Automation, Data Storage, Development Testing
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: Pandas(Python 软件包), 软件开发工具, 虚拟环境, 数据操作, Python 程序设计, 开发环境, 数据分析软件, 数据结构, NumPy, Git(版本控制系统), 版本控制
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming
中级 · 指导项目 · 不超过 2 小时