NUR LIYANA
Learning Power BI through YouTube has been a practical experience for me, especially when working with thousands of student performance data. The dataset focused on reading and math scores by district, extracurricular activities, and states. By following tutorials, I was able to create visualizations like bar charts and tables, making it easier to identify patterns and trends across different schools and activities. This hands-on approach helped solidify my understanding of how to import data, transform it, and visualize it effectively.
One of the key takeaways was how to display student performance metrics using interactive visuals. For instance, the bar chart comparing reading scores across districts provided a clear way to see which districts performed better. The breakdown of math scores by extracurricular activities, such as Debate and Music, gave insights into how these activities might influence academic performance. This visualization process allowed me to see the power of storytelling with data, something that YouTube tutorials emphasized well.
Beyond visualization, Power BI allowed me to apply data analytics techniques by calculating averages, differences, and performance gaps. The table displaying reading score averages by state, color-coded for easier interpretation, was a highlight. I learned how to implement conditional formatting and create calculated measures, adding layers of insight. This knowledge will be valuable in any data-driven environment, enhancing my ability to interpret data and make informed decisions.
© Nur Liyana Aris | 2025
Johor, Malaysia