https://github.com/harmain-ali/postgre-sql-for-data-science
https://github.com/harmain-ali/postgre-sql-for-data-science
dataanalytics database database-design database-management datascience dataset postgres postgresql postgresql-database postgressql sql sqlite
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/harmain-ali/postgre-sql-for-data-science
- Owner: Harmain-Ali
- License: mit
- Created: 2025-07-17T15:23:48.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-08-02T12:36:35.000Z (11 months ago)
- Last Synced: 2025-08-02T14:32:20.988Z (11 months ago)
- Topics: dataanalytics, database, database-design, database-management, datascience, dataset, postgres, postgresql, postgresql-database, postgressql, sql, sqlite
- Language: Jupyter Notebook
- Homepage:
- Size: 21.5 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
## 📚 PostgreSQL Cheatsheet — From Zero to Hero 🚀
## 🔥 What’s Inside?
This repo is your **ultimate PostgreSQL cheatsheet**, carefully crafted to take you from **absolute beginner → advanced SQL master**.
* ✅ Complete **PostgreSQL Cheatsheet** with theory + SQL queries + pgAdmin steps
* ✅ Covers **0 → Hero topics** (Databases, Tables, Queries, Joins, Subqueries, Functions, Views, Indexes, Transactions, Security, and more)
* ✅ A **sample database (dvdrental)** with **150+ solved real-world questions** for practice
* ✅ Perfect for **Data Scientists, Analysts, and Developers**
## 🗂️ Topics Covered
* Database Creation & Connections
* Tables (Create, Modify, Drop)
* Data Insertion, Import & Export
* Filtering (WHERE, IN, BETWEEN, LIKE)
* Sorting & Limiting
* Aggregations & GROUP BY
* Joins (INNER, LEFT, RIGHT, FULL, CROSS)
* Subqueries & CTEs (WITH)
* Views & Materialized Views
* Functions, Procedures & Triggers
* Window Functions
* Indexes & Performance Optimization
* Transactions & Concurrency Control
* Security & User Management
* Connecting PostgreSQL with Python (psycopg2 & SQLAlchemy)
## 📝 Sample Practice Questions
✔ **Basic SELECT Queries** → List all customers, find films longer than 100 mins, display rentals on a given date
✔ **Filtering** → Customers from London, films with rental rate between 2–5, NULL checks
✔ **Sorting & Limiting** → Top 10 expensive films, earliest rentals, most recent payments
✔ **Joins** → Films with categories, customers with city names, rentals with staff names
✔ **Aggregations** → Count films, calculate average payments, revenue per store
✔ **Subqueries** → Most rented film, top customers, films longer than average
✔ **Complex Joins** → Top 5 customers by rentals, total revenue per country, least rented film
📌 More than **150+ solved examples** included using **dvdrental** database.
## 🚀 How to Use
1. Clone the repo
```bash
git clone https://github.com/your-username/postgresql-cheatsheet.git
cd postgresql-cheatsheet
```
2. Import the sample **dvdrental** database into PostgreSQL.
3. Explore `postgre_sql_cheatsheat.ipynb` for theory + queries.
4. Try solving practice questions (`DVD-RENTAL-PRACTICE-QUESTIONS.txt`) in your own database.
## 🔗 Related Resources
Expand your learning beyond PostgreSQL:
* 📊 [EDA Guide (Exploratory Data Analysis)](https://github.com/Harmain-Ali/Complete-EDA-Guide)
* 🐍 [SQLAlchemy Cheatsheet](https://github.com/Harmain-Ali/SQLAlchemy-For-DataScience)
## 🌟 Support
If you find this helpful:
* ⭐ **Star this repo** to support my work
* 👤 **Follow me** for more data science & SQL content
* 🔔 Stay tuned for upcoming **Pandas Cheatsheet** & more advanced guides
## 🏷️ Tags
`postgresql` `sql` `cheatsheet` `database` `data-science` `joins` `queries` `data-analysis` `sqlalchemy` `pgadmin` `practice-questions` `dvdrental`
⚡ With this guide, you’ll go from **writing your first SELECT query** → **mastering window functions, joins, optimization, and real-world analysis**.