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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

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Data Analytics Handbook

A structured, clean, and beginner-friendly collection of notes as I learn SQL, Excel, Power BI, Python, and Data Analytics — one concept every day.

About This Repository

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

Current Learning Roadmap

1️⃣ Basics & Data Retrieval — (Completed)

  • SELECT, FROM, WHERE
  • ORDER BY, LIMIT
  • BETWEEN, LIKE, IN, NOT

2️⃣ Joins & Relationships — (In Progress)

  • INNER, LEFT, RIGHT, FULL, CROSS

3️⃣ Aggregation & Grouping — (Next)

  • GROUP BY, HAVING
  • COUNT, SUM, AVG, MAX, MIN

4️⃣ Subqueries & CTEs — (Upcoming)

  • Nested queries
  • WITH statements

5️⃣ Data Cleaning in SQL

  • CASE WHEN
  • Handling NULL
  • COALESCE
  • Text functions

6️⃣ Window Functions

  • ROW_NUMBER, RANK
  • Running totals
  • Moving averages

7️⃣ Analytical Thinking with SQL

  • Answering business questions
  • Real-world datasets
  • Creating insights

Progress Bar

SQL Progress:

  • Basics: 100%
  • Joins: 70%
  • Aggregations: 0%
  • Subqueries/CTEs: 0%
  • Data Cleaning: 0%
  • Window Functions: 0%
  • Analytical Thinking: 0%

Folder Structure

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

Learning Principles

  • One topic a day — no burnout
  • Write small notes, not essays
  • Practice with examples
  • Share progress publicly
  • Revisit hard concepts weekly

Follow My Journey

Twitter (Data Analytics updates): [Add your new DA account here]

Main account (Indie hacking): [Your main Twitter link]


Support

If these notes help you, feel free to star the repo. It keeps me motivated to keep learning and sharing.

About

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

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