Tutorial: 3 Free Databricks Analytics Projects You Can Do In An Afternoon

Summary

This article presents three beginner-friendly analytics projects that can be completed using Databricks Free Edition. It guides readers through the process of importing and analyzing public datasets, creating AI/BI dashboards, and utilizing machine learning functions for forecasting. The projects focus on practical applications such as analyzing sales data for a simulated bakery, predicting rental prices using housing datasets, and observing film shoots through government-issued permits. Each project is designed to enhance the reader's understanding of data manipulation, visualization, and the integration of AI functionalities in analytics workflows.

Key Learnings

• 1How to leverage Databricks Free Edition for hands-on analytics projects without incurring costs.
• 2The process of importing public datasets into Databricks and creating visual dashboards to present insights.
• 3Utilizing AI functions like AI_Query() and AI_Forecast() to enhance data analysis and forecasting capabilities.
• 4Best practices for structuring and querying datasets to derive meaningful insights and trends.
• 5The importance of using tools like Databricks Assistant for debugging and optimizing SQL queries.

Who Should Read This

Data Analysts and Junior Data Engineers looking to build practical analytics skills using Databricks and enhance their portfolios with real-world projects.

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