Get Started with SQL Analytics and BI on Databricks

This course introduces the Databricks Data Intelligence Platform and the core skills a data analyst needs for day-to-day SQL analytics and BI work. You'll navigate the workspace and Unity Catalog, write SQL queries against governed Delta tables from a Serverless SQL Warehouse, use Genie Code to generate and debug SQL, work with Delta Lake (DML, version history, time travel, and restore), build and publish AI/BI Dashboards, and create Genie Spaces for conversational analytics. Each topic pairs a guided Demo notebook with a hands-on Lab.

Languages Available: English | 日本語 | Português BR | 한국어

Skill Level

Onboarding

Duration

Prerequisites

The content was developed for participants with these skills/knowledge/abilities:

• A basic understanding of data analytics principles and topics such as ANSI SQL, statistical analysis, and data preparation and presentation.

Self-Paced

Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos

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Databricks has a delivery method for wherever you are on your learning journey

Self-Paced

Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos

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Public and private courses taught by expert instructors across half-day to two-day courses

Blended Learning

Self-paced and weekly instructor-led sessions for every style of learner to optimize course completion and knowledge retention. Go to Subscriptions Catalog tab to purchase

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Skills@Scale

Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details

Upcoming Public Classes

Lakehouse Architecture Fundamentals

A concept-level course based on The Data Lakehouse For Dummies. It moves learners from "not sure what a lakehouse is" to being able to hold a working conversation about lakehouse architecture and the technologies behind it: the limitations of legacy architectures, what the lakehouse is, its core technologies, and how it enables data intelligence and unified workloads on Databricks.

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AI/BI for Data Analysts - Mandarin Chinese

本课程面向数据分析师，讲授如何在 Databricks 中设计、构建、发布和运维 AI/BI Dashboards。AI/BI Dashboards 将受 Unity Catalog 治理的数据与交互式可视化、筛选器和 Genie 集成相结合，使业务用户无需编写代码即可探索答案。

本课程围绕一个端到端构建项目展开。您将从 Unity Catalog 中的源表开始，最终完成一个已发布、受监控的多页面仪表盘。在此过程中，您将了解仪表盘如何融入更广泛的 Databricks AI/BI 产品系列，以及 Genie、数据集、可视化和筛选器在工作流中的各自作用。

课程内容包括：

• AI/BI Dashboard 基础知识，以及它与 Genie 和 Databricks 平台其他部分的关系。

• 探索 Unity Catalog 中的源数据，并使用 SQL 设计可复用的仪表盘数据集。

• 创建可视化（KPI、趋势和细分），并设计简洁的多页面仪表盘布局。

• 使用 Genie Code，根据自然语言提示词起草 SQL、图表和筛选器。

• 添加筛选器，使仪表盘能够进行交互并响应查看者的问题。

• 发布和共享仪表盘并管理权限，确保适当的人员可以查看和编辑仪表盘。

• 通过定时刷新、缓存和使用情况监控，在生产环境中运行仪表盘。

注意：对于 SCORM 讲授文件，请确保在完成内容后关闭 SCORM 窗口。请勿点击“Next Lesson”按钮，否则可能导致 SCORM 模块无法被标记为已完成。

Free

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Generative AI Fundamentals - Mandarin Chinese

生成式 AI 已从新兴实验转变为企业必备能力，为从智能客户支持到自动执行复杂工作流的 AI Agent 等各类应用提供支撑。

那些懂得如何有效部署生成式 AI——立足于自身数据并施以可信治理——的组织，将成为各自行业中引领节奏的领跑者。但随着新模型每周发布、能力快速演进，懂得如何战略性地评估和应用生成式 AI，比一味追逐最新版本更为重要。通过这门免费的按需培训，快速掌握生成式 AI 的基础知识——它能做什么、在哪些方面带来真正的业务价值，以及如何在 Databricks 上安全地实施它。

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