Accomplishments

Developed SQL skills for analyzing data and managing relational databases, including writing core queries (SELECT, INSERT, UPDATE, DELETE) and using advanced techniques like joins, views, and stored procedures.

Developed foundational data analytics skills, including data analysis, analytical thinking, and working with tools such as spreadsheets, query languages, and data visualization.

Developed foundational data analysis skills, including structured problem-solving, analytical thinking, and using spreadsheets to organize and analyze data for decision-making.

Developed foundational data management skills, including data collection, database concepts, data organization, and understanding bias in data.

Developed data cleaning and SQL skills, including data integrity concepts, writing basic SQL queries, and verifying data quality.

Developed data organization and analysis skills, including sorting and filtering data, using spreadsheet functions, and writing SQL queries to combine data from multiple tables.

Developed data visualization and storytelling skills, including creating visualizations, using Tableau, and communicating insights through effective data presentations.

Developed foundational Python skills, including syntax, control structures, data structures, and basic programming for data analysis.

Developed foundational R programming skills, including data structures, functions, data visualization, and using R Markdown to create structured reports.

Developed practical data analysis skills by applying structured analysis processes and completing end-to-end case studies. Built a portfolio-ready project to communicate insights effectively, with hands-on experience using real datasets and foundational AI concepts.

Built strong data analysis skills, including data cleaning, analysis, and visualization using spreadsheets, SQL, Python, and Tableau. Applied these skills to organize data, perform analysis, and present insights through dashboards and professional reports.