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Databricks for Data Analysts

Databricks for Data Analysts

1h 21mIntermediate2026-04-03

Authors

Baraa Khatib Salkini

Baraa Khatib Salkini

Course details

Databricks is becoming a core platform for modern analytics, but many data analysts are unsure how to use it in daily work. This course introduces Databricks from a data analyst perspective, based on real industry experience and real company workflows. You will learn Databricks SQL, practical analysis patterns, and how to build trusted KPIs using clear, easy-to-follow animated sketches that explain concepts step by step. The course covers navigating the Databricks workspace, querying curated tables, building dashboards, and understanding how Databricks fits alongside Power BI. You will also see how Genie AI can accelerate analysis while keeping results accurate and explainable.

Learning objectives
Understand what Databricks is and how data analysts use it in modern analytics workflows.
Navigate the Databricks workspace and use Databricks SQL for data exploration and analysis.
Build trusted KPI logic and reusable SQL queries on curated Lakehouse tables.
Create dashboards in Databricks and understand how it fits alongside Power BI in real companies.
Use Genie AI to speed up analysis while ensuring results remain accurate and explainable.

Concepts

Introduction

  • Databricks mastery for data analysts
  • Course roadmap and resources

Databricks Fundamentals

  • Opening a Databricks Notebook - What is different
  • Getting data into Databricks using volumes
  • Getting eata Into Databricks using tables

Databricks SQL for Data Analysis

  • Run your first Databricks SQL query
  • Adding visualizations to your query
  • Parameterized queries for dynamic
  • Creating catalog objects for analytics

Dashboards with AI

  • Getting data into Dashboard using SQL
  • Prepare data faster using AI agents
  • Build and customize dashboards in Databricks
  • Build dashboards faster using AI Agents

AI Analytics with Databricks Genie

  • Set up AI Genie in Databricks
  • Analyze and explore Data with AI Genie
  • Validate and improve AI Genie results

What To Do Next

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