Leveraging AI for Data Analysis in Databricks and Power BI
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Learning Track
Data Analytics
Delivery methods
On-Site, Virtual
Duration
1 day
This beginner-friendly course helps learners take their first steps in data analysis and visualization. Using Databricks for preparing and exploring data, and Power BI for building dashboards, participants will learn how to turn raw data into meaningful insights. Along the way, they’ll see how Databricks Assistant can simplify tasks such as cleaning, transforming, and querying data—making analysis accessible even with no coding experience.
Learning Objectives
By the end of this course, learners will be able to:
- Explain the basics of data analysis and visualization
- Use Databricks Assistant to explore and prepare datasets
- Understand and edit simple SQL queries in Databricks
- Connect Power BI to Databricks for live reporting
- Build charts, reports, and dashboards in Power BI
- Share insights in a clear and professional way
Audience
- Beginners with no prior experience in data analysis
- Business professionals who want to build confidence with data
- Anyone new to Databricks or Power BI
Prerequisites
- No coding or SQL knowledge required
- Basic familiarity with spreadsheets is helpful but optional
Course outline
- What data analysis is and why it matters
- The role of visualization in decision-making
- Overview of Databricks, Power BI, and AI assistants
- Navigating the Databricks workspace
- Loading and exploring sample datasets
- Introduction to Databricks Assistant as an AI copilot
- Assistant-powered suggestions for data preparation
- Handling missing values, duplicates, and formatting
- Summarizing datasets with AI insights
- What SQL is and why it’s useful for beginners
- How Assistant generates SQL queries
- Reading simple queries (SELECT, WHERE, GROUP BY)
- Making small edits to customize analysis
- Filtering, grouping, and aggregating results
- Saving cleaned and transformed data
- Setting up the connection
- Choosing Import vs. DirectQuery
- Accessing prepared datasets
- Building charts, tables, and maps
- Adding filters, slicers, and drilldowns
- Best practices for clear storytelling with visuals
- Combining visuals into dashboards
- Publishing and sharing with others
- Example project: from raw data to an interactive dashboard
