Python’s statistical packages are used to examine correlations and central tendency of data to identify factors that most affect student mastery of the tested TEKS.
Analysis of subgroups of students using ggplot2 and non-parametric hypothesis testing to identify low performing groups needing reteach.
This Power BI project was completed as part of my graduate coursework in data analysis. It explores sales performance across multiple product categories — including Clothing, Home & Kitchen, Health & Beauty, and Sports & Outdoors — using a simulated dataset modeled after a large retail company.
The dashboard provides dynamic visualizations to explore:
Total sales by category and subcategory
Monthly sales trends
Category performance comparison
Interactive filters
The report was built end-to-end in Power BI Desktop, including data cleaning, transformation, modeling, and visual storytelling.