A 480-hour, in-class, project-based course, where I covered:1-Collect, extract, query, clean, and aggregate data for analysis.2-Perform visual and statistical analysis on data using UNIX, Git, SQL, Python, and its associated libraries and tools.3-Build and implement appropriate Machine Learning models and algorithms to evaluate data science problems spanning finance, public policy, and more.4-Craft and share compelling narratives through data visualization.5-Compile clear stakeholder reports to communicate the nuances of your analyses.6-Identify big data problems and articulate how distributed systems and parallel computing technologies solve these challenges.7-Apply question, modelling, and validation problem-solving processes to data sets from various industries to provide insight into real-world problems and solutions.

Information Technology Auditor Advisory for Saudi eGovernment Program (Yesser).

Evaluate curriculum, teaching method and program to determine their effectiveness and efficiency.

Teaching Computer Skills Preparatory year for student at King Saud University in Riyadh