Completed under the instruction of Andrew Ng, this course provided a comprehensive introduction to machine learning, data mining, and statistical pattern recognition. Key topics included supervised and unsupervised learning, linear and logistic regression, support vector machines, neural networks, clustering, and anomaly detection. 

Completed an applied course focused on geospatial data handling, mapping, and spatial relationships using Python. Gained practical experience in manipulating shapefiles, creating layered maps, and analyzing spatial patterns for real-world applications.

Completed: August 12, 2024 

Completed a foundational course on data analytics techniques and tools, including data wrangling, data visualization, and the basics of statistical analysis. Gained practical experience using tools like Excel, SQL, and Python to draw insights from real-world datasets.

Completed: 21 Jun, 2024 

Completed a foundational course in data analytics, focused on the end-to-end data process including data collection, cleaning, analysis, and visualization. The course emphasized hands-on learning using Excel, SQL, and Python to derive insights from structured datasets.

Completed: 2024 

Completed a hands-on course focused on transitioning from Excel-based analytics to Power BI, covering essential skills such as data modeling, DAX calculations, dashboard creation, and visual storytelling. The course provided real-world business scenarios to apply Power BI for interactive insights and performance tracking. 

Completed a foundational course in marketing analytics, offered by Meta and instructed by Anke Audenaert (UCLA Anderson). The course focused on using data-driven techniques to evaluate marketing performance, customer segmentation, campaign tracking, and ROI measurement.

Completed: February 24, 2024 

Completed a high-level, non-technical course taught by Andrew Ng, focused on how to navigate and implement AI strategies in business settings. Gained a foundational understanding of AI concepts, capabilities, limitations, and ethical considerations, including how to lead or support AI-powered transformation within organizations.

Completed: April 2, 2025