This repository organizes coursework and practice files from a Data Technology program.
The goal of this repository is to document coursework across programming, analytics, statistics, databases, visualization, and project-based learning.
| Folder | Focus |
|---|---|
coursework/python/ |
Python notebooks, notes, labs, and project work. |
coursework/machine-learning/ |
Model building, evaluation, and related notebooks. |
coursework/r/ |
R scripts, ggplot2 practice, and R Markdown reports. |
coursework/sql/ |
SQL scripts, labs, query exports, and database notes. |
coursework/statistics-spreadsheets/ |
Spreadsheet labs, workbook documentation, and statistics practice. |
coursework/tableau/ |
Tableau workbook documentation and dashboard practice. |
coursework/power-bi/ |
Power BI report documentation, screenshots, filters, charts, and dashboard practice. |
coursework/datasets/ |
Shared datasets used across coursework. |
- Python fundamentals
- Data cleaning and exploratory analysis
- R programming and visualization
- SQL querying and database concepts
- Spreadsheet analysis and statistics
- Machine learning fundamentals
- Power BI reports and dashboards
- Tableau dashboards and visual analytics
- Google Colab notebook workflows
- Python and R programming
- pandas, NumPy, tidyverse, and ggplot2
- SQL querying
- Spreadsheet formulas, charts, and pivot tables
- Descriptive and inferential statistics
- Data visualization and dashboard design
- Power BI and Tableau reporting
- Project documentation