Foundations of Data and Data Analytics: Applied fundamental principles of data analysis to practical tasks, leveraging core concepts to support data-driven insights.Data Preparation for Exploration: Conducted data preparation and cleaning processes to ensure datasets were accurate, consistent, and ready for analysis.Data Cleaning and Organization: Implemented data cleaning techniques to remove inaccuracies and organized data for improved accessibility and analysis.Data Analysis to Answer Questions: Utilized data analysis methods to address key business questions, applying statistical techniques to interpret data effectively.Data Visualization: Created clear and impactful visualizations using tools such as Power BI and Tableau to present findings and support decision-making.Data Analysis with Python: Employed Python programming for data analysis tasks, including data manipulation, statistical analysis, and model building.Data Analytics Capstone Project: Led a comprehensive case study, integrating knowledge from coursework to tackle real-world data problems and deliver actionable insights.Data Governance: Applied data governance practices to ensure data integrity, security, and compliance throughout the analytical process.Skills Developed:Proficiency in data preparation, cleaning, and analysisExperience with data visualization tools and techniquesPractical knowledge of data governance and complianceAdvanced data analysis using Python