Data analysis projects completed during coursework at The University of Texas at Austin, focusing on database management, statistical analysis, and professional reporting using R.
Collection of comprehensive data analysis assignments showcasing database design, big data processing, statistical modeling, and professional report generation. Projects developed as part of advanced coursework at UT Austin's data science program.
Key competencies demonstrated:
- Database design and SQL querying
- Statistical analysis and modeling with R
- Data visualization and storytelling
- Big data processing techniques
- Professional technical reporting
- Data-driven decision making
- Language: R
- Environment: RStudio
- Database: SQL, relational databases
- Libraries: dplyr, ggplot2, tidyr, caret (adjust to what you used)
- Reporting: R Markdown, knitr
Completed as part of Big Data / Data Science coursework at: The University of Texas at Austin
- Focus: Database management and statistical analysis
- Tools: R programming, SQL, data visualization
- Advanced SQL for complex database queries
- R programming for statistical computing
- Data wrangling and preprocessing
- Exploratory Data Analysis (EDA)
- Statistical inference and hypothesis testing
- Professional technical communication
Rafael Gonzalez
- GitHub: @surbalo1
- LinkedIn: Rafael Gonzalez