Office hours focused on a specific assignment related to Databricks and advanced Spark techniques. The session included a walkthrough of the assignment involving a tweets dataset, data cleaning, creating fact and dimension tables, and performing a broadcast join. Participants learned how to analyze tweet volumes, identify top tweeters, and calculate metrics based on user engagement, making it beneficial for students working on data engineering projects using Spark.