A structured, clean, and beginner-friendly collection of notes as I learn SQL, Excel, Power BI, Python, and Data Analytics — one concept every day.
This repo documents my daily learning journey into the world of Data Analytics. Everything here is handwritten, example-driven, and focused on helping me (and you!) build a strong foundation for real-world data work:
- SQL from scratch → advanced
- Data cleaning, transformations
- Excel & Google Sheets
- Visualizations (Power BI / Tableau)
- Python for analytics
- Case studies & mini projects
These notes are designed to be:
- Easy to revise
- Practical
- Hands-on
- Real-world focused
- SELECT, FROM, WHERE
- ORDER BY, LIMIT
- BETWEEN, LIKE, IN, NOT
- INNER, LEFT, RIGHT, FULL, CROSS
- GROUP BY, HAVING
- COUNT, SUM, AVG, MAX, MIN
- Nested queries
- WITH statements
- CASE WHEN
- Handling NULL
- COALESCE
- Text functions
- ROW_NUMBER, RANK
- Running totals
- Moving averages
- Answering business questions
- Real-world datasets
- Creating insights
- Basics: 100%
- Joins: 70%
- Aggregations: 0%
- Subqueries/CTEs: 0%
- Data Cleaning: 0%
- Window Functions: 0%
- Analytical Thinking: 0%
data-analytics-notes/
├── SQL/
│ ├── 01_basics.md
│ ├── 02_joins.md
│ ├── 03_group_by.md
│ ├── 04_subqueries_ctes.md
│ ├── 05_data_cleaning.md
│ └── 06_window_functions.md
├── Excel/
├── PowerBI/
├── Python/
└── README.md
- One topic a day — no burnout
- Write small notes, not essays
- Practice with examples
- Share progress publicly
- Revisit hard concepts weekly
Twitter (Data Analytics updates): [Add your new DA account here]
Main account (Indie hacking): [Your main Twitter link]
If these notes help you, feel free to star the repo. It keeps me motivated to keep learning and sharing.