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🚀 SQL Project Series Food & Grocery Delivery Analytics 🛒 Analyze customers, stores, products, orders, deliveries, and payments to understand sales performance, customer behavior, delivery efficiency, and operational costs. 🎯 Business Objectives ✅ Analyze order and revenue trends ✅ Identify top-selling products ✅ Measure customer retention ✅ Analyze store performance ✅ Track delivery efficiency ✅ Identify peak ordering periods ✅ Monitor cancellations and refunds ✅ Optimize product and store performance 📂 Database Setup

CREATE DATABASE grocery_delivery_db;
USE grocery_delivery_db;

Tables Created: customers → customer_id, customer_name, city, signup_date stores → store_id, store_name, city, store_type products → product_id, product_name, category, price orders → order_id, customer_id, store_id, order_date, order_status, delivery_time_minutes, delivery_fee order_items → order_item_id, order_id, product_id, quantity, unit_price Sample data for 5 customers, 4 stores, 5 products, 5 orders already included. 🧠 SQL Concepts You'll Practice ✔ INNER JOIN, LEFT JOIN ✔ Aggregate Functions, GROUP BY, HAVING ✔ CASE WHEN, CTEs, Subqueries ✔ Window Functions ✔ Date & Time Functions ✔ Conditional Aggregation 📊 Business KPIs You Can Build 📈 Total Orders, Completed Orders, Cancelled Orders, Cancellation Rate 📈 Total Revenue, AOV, Average Basket Size, Items Sold 📈 Revenue by Category, Store, City 📈 Top-Selling / Low-Selling Products 📈 Customer Lifetime Value, Repeat Purchase Rate, Retention Rate 📈 Average Delivery Time, On-Time Delivery Rate 📈 Peak Ordering Hour, Peak Ordering Day, Monthly Revenue Growth 📈 Delivery Fee Revenue, Customer Acquisition Trend 📈 Executive Grocery Delivery Dashboard 💡 Example Queries 1. Total Revenue

SELECT SUM(oi.quantity * oi.unit_price) AS total_revenue
FROM orders o
JOIN order_items oi ON o.order_id = oi.order_id
WHERE o.order_status = 'Delivered';

2. Top-Selling Products

SELECT p.product_name, SUM(oi.quantity) AS units_sold
FROM products p
JOIN order_items oi ON p.product_id = oi.product_id
JOIN orders o ON oi.order_id = o.order_id
WHERE o.order_status = 'Delivered'
GROUP BY p.product_name
ORDER BY units_sold DESC
LIMIT 10;

3. Average Order Value

WITH order_values AS (
    SELECT o.order_id, SUM(oi.quantity * oi.unit_price) AS order_value
    FROM orders o
    JOIN order_items oi ON o.order_id = oi.order_id
    WHERE o.order_status = 'Delivered'
    GROUP BY o.order_id
)
SELECT ROUND(AVG(order_value), 2) AS average_order_value FROM order_values;

4. Repeat Customers

SELECT customer_id, COUNT(order_id) AS total_orders
FROM orders
WHERE order_status = 'Delivered'
GROUP BY customer_id
HAVING COUNT(order_id) > 1;

5. Revenue by Store

SELECT s.store_name, SUM(oi.quantity * oi.unit_price) AS revenue
FROM stores s
JOIN orders o ON s.store_id = o.store_id
JOIN order_items oi ON o.order_id = oi.order_id
WHERE o.order_status = 'Delivered'
GROUP BY s.store_name
ORDER BY revenue DESC;

6. Cancellation Rate

SELECT ROUND(100.0 * SUM(CASE WHEN order_status = 'Cancelled' THEN 1 ELSE 0 END) / COUNT(*), 2) AS cancellation_rate
FROM orders;

7. Peak Ordering Hours

SELECT EXTRACT(HOUR FROM order_date) AS order_hour, COUNT(*) AS total_orders
FROM orders
WHERE order_status = 'Delivered'
GROUP BY EXTRACT(HOUR FROM order_date)
ORDER BY total_orders DESC;

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Complete roadmap to learn Python and Data Structures & Algorithms (DSA) in 2 months ### Week 1: Introduction to Python Day 1-2: Basics of Python - Python setup (installation and IDE setup) - Basic syntax, variables, and data types - Operators and expressions Day 3-4: Control Structures - Conditional statements (if, elif, else) - Loops (for, while) Day 5-6: Functions and Modules - Function definitions, parameters, and return values - Built-in functions and importing modules Day 7: Practice Day - Solve basic problems on platforms like HackerRank or LeetCode ### Week 2: Advanced Python Concepts Day 8-9: Data Structures in Python - Lists, tuples, sets, and dictionaries - List comprehensions and generator expressions Day 10-11: Strings and File I/O - String manipulation and methods - Reading from and writing to files Day 12-13: Object-Oriented Programming (OOP) - Classes and objects - Inheritance, polymorphism, encapsulation Day 14: Practice Day - Solve intermediate problems on coding platforms ### Week 3: Introduction to Data Structures Day 15-16: Arrays and Linked Lists - Understanding arrays and their operations - Singly and doubly linked lists Day 17-18: Stacks and Queues - Implementation and applications of stacks - Implementation and applications of queues Day 19-20: Recursion - Basics of recursion and solving problems using recursion - Recursive vs iterative solutions Day 21: Practice Day - Solve problems related to arrays, linked lists, stacks, and queues ### Week 4: Fundamental Algorithms Day 22-23: Sorting Algorithms - Bubble sort, selection sort, insertion sort - Merge sort and quicksort Day 24-25: Searching Algorithms - Linear search and binary search - Applications and complexity analysis Day 26-27: Hashing - Hash tables and hash functions - Collision resolution techniques Day 28: Practice Day - Solve problems on sorting, searching, and hashing ### Week 5: Advanced Data Structures Day 29-30: Trees - Binary trees, binary search trees (BST) - Tree traversals (in-order, pre-order, post-order) Day 31-32: Heaps and Priority Queues - Understanding heaps (min-heap, max-heap) - Implementing priority queues using heaps Day 33-34: Graphs - Representation of graphs (adjacency matrix, adjacency list) - Depth-first search (DFS) and breadth-first search (BFS) Day 35: Practice Day - Solve problems on trees, heaps, and graphs ### Week 6: Advanced Algorithms Day 36-37: Dynamic Programming - Introduction to dynamic programming - Solving common DP problems (e.g., Fibonacci, knapsack) Day 38-39: Greedy Algorithms - Understanding greedy strategy - Solving problems using greedy algorithms Day 40-41: Graph Algorithms - Dijkstra’s algorithm for shortest path - Kruskal’s and Prim’s algorithms for minimum spanning tree Day 42: Practice Day - Solve problems on dynamic programming, greedy algorithms, and advanced graph algorithms ### Week 7: Problem Solving and Optimization Day 43-44: Problem-Solving Techniques - Backtracking, bit manipulation, and combinatorial problems Day 45-46: Practice Competitive Programming - Participate in contests on platforms like Codeforces or CodeChef Day 47-48: Mock Interviews and Coding Challenges - Simulate technical interviews - Focus on time management and optimization Day 49: Review and Revise - Go through notes and previously solved problems - Identify weak areas and work on them ### Week 8: Final Stretch and Project Day 50-52: Build a Project - Use your knowledge to build a substantial project in Python involving DSA concepts Day 53-54: Code Review and Testing - Refactor your project code - Write tests for your project Day 55-56: Final Practice - Solve problems from previous contests or new challenging problems WhatsApp Community Link 👇 https://chat.whatsapp.com/HPJDqRr6G1sKQIqfdJF3pL 1️⃣ GROUP FOR PROGRAMMERS🖥 📎 Channel Link: [ https://t.me/realgroupforprogrammer ] --- 2️⃣ Coding Community 📎 Channel Link: [ https://t.me/Coding_CommunityOfficial ] --- 3️⃣ Programming Bay 📎 Channel Link: [ https://t.me/programmingbay ]

Complete roadmap to learn Python and Data Structures & Algorithms (DSA) in 2 months ### Week 1: Introduction to Python Day 1-2: Basics of Python - Python setup (installation and IDE setup) - Basic syntax, variables, and data types - Operators and expressions Day 3-4: Control Structures - Conditional statements (if, elif, else) - Loops (for, while) Day 5-6: Functions and Modules - Function definitions, parameters, and return values - Built-in functions and importing modules Day 7: Practice Day - Solve basic problems on platforms like HackerRank or LeetCode ### Week 2: Advanced Python Concepts Day 8-9: Data Structures in Python - Lists, tuples, sets, and dictionaries - List comprehensions and generator expressions Day 10-11: Strings and File I/O - String manipulation and methods - Reading from and writing to files Day 12-13: Object-Oriented Programming (OOP) - Classes and objects - Inheritance, polymorphism, encapsulation Day 14: Practice Day - Solve intermediate problems on coding platforms ### Week 3: Introduction to Data Structures Day 15-16: Arrays and Linked Lists - Understanding arrays and their operations - Singly and doubly linked lists Day 17-18: Stacks and Queues - Implementation and applications of stacks - Implementation and applications of queues Day 19-20: Recursion - Basics of recursion and solving problems using recursion - Recursive vs iterative solutions Day 21: Practice Day - Solve problems related to arrays, linked lists, stacks, and queues ### Week 4: Fundamental Algorithms Day 22-23: Sorting Algorithms - Bubble sort, selection sort, insertion sort - Merge sort and quicksort Day 24-25: Searching Algorithms - Linear search and binary search - Applications and complexity analysis Day 26-27: Hashing - Hash tables and hash functions - Collision resolution techniques Day 28: Practice Day - Solve problems on sorting, searching, and hashing ### Week 5: Advanced Data Structures Day 29-30: Trees - Binary trees, binary search trees (BST) - Tree traversals (in-order, pre-order, post-order) Day 31-32: Heaps and Priority Queues - Understanding heaps (min-heap, max-heap) - Implementing priority queues using heaps Day 33-34: Graphs - Representation of graphs (adjacency matrix, adjacency list) - Depth-first search (DFS) and breadth-first search (BFS) Day 35: Practice Day - Solve problems on trees, heaps, and graphs ### Week 6: Advanced Algorithms Day 36-37: Dynamic Programming - Introduction to dynamic programming - Solving common DP problems (e.g., Fibonacci, knapsack) Day 38-39: Greedy Algorithms - Understanding greedy strategy - Solving problems using greedy algorithms Day 40-41: Graph Algorithms - Dijkstra’s algorithm for shortest path - Kruskal’s and Prim’s algorithms for minimum spanning tree Day 42: Practice Day - Solve problems on dynamic programming, greedy algorithms, and advanced graph algorithms ### Week 7: Problem Solving and Optimization Day 43-44: Problem-Solving Techniques - Backtracking, bit manipulation, and combinatorial problems Day 45-46: Practice Competitive Programming - Participate in contests on platforms like Codeforces or CodeChef Day 47-48: Mock Interviews and Coding Challenges - Simulate technical interviews - Focus on time management and optimization Day 49: Review and Revise - Go through notes and previously solved problems - Identify weak areas and work on them ### Week 8: Final Stretch and Project Day 50-52: Build a Project - Use your knowledge to build a substantial project in Python involving DSA concepts Day 53-54: Code Review and Testing - Refactor your project code - Write tests for your project Day 55-56: Final Practice - Solve problems from previous contests or new challenging problems WhatsApp Community Link 👇 https://chat.whatsapp.com/HPJDqRr6G1sKQIqfdJF3pL 1️⃣ GROUP FOR PROGRAMMERS🖥 📎 Channel Link: [ https://t.me/realgroupforprogrammer ] --- 2️⃣ Coding Community 📎 Channel Link: [ https://t.me/Coding_CommunityOfficial ] --- 3️⃣ Programming Bay 📎 Channel Link: [ https://t.me/programmingbay ]

14 Days Roadmap to learn SQL 𝗗𝗮𝘆 𝟭: 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 𝗮𝗻𝗱 𝗦𝗤𝗟 Topics to Cover: - What is SQL? - Different types of databases (Relational vs. Non-Relational) - SQL vs. NoSQL - Overview of SQL syntax Practice: - Install a SQL database (e.g., MySQL, PostgreSQL, SQLite) - Explore an online SQL editor like SQLFiddle or DB Fiddle 𝗗𝗮𝘆 𝟮: 𝗕𝗮𝘀𝗶𝗰 𝗦𝗤𝗟 𝗤𝘂𝗲𝗿𝗶𝗲𝘀 Topics to Cover: - SELECT statement - Filtering with WHERE clause - DISTINCT keyword Practice: - Write simple SELECT queries to retrieve data from single table - Filter records using WHERE clauses 𝗗𝗮𝘆 𝟯: 𝗦𝗼𝗿𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗙𝗶𝗹𝘁𝗲𝗿𝗶𝗻𝗴 Topics to Cover: - ORDER BY clause - Using LIMIT/OFFSET for pagination - Comparison and logical operators Practice: - Sort data with ORDER BY - Apply filtering with multiple conditions use AND/OR 𝗗𝗮𝘆 𝟰: 𝗦𝗤𝗟 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗔𝗴𝗴𝗿𝗲𝗴𝗮𝘁𝗶𝗼𝗻𝘀 Topics to Cover: - Aggregate functions (COUNT, SUM, AVG, MIN, MAX) - GROUP BY and HAVING clauses Practice: - Perform aggregation on dataset - Group data and filter groups using HAVING 𝗗𝗮𝘆 𝟱: 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗧𝗮𝗯𝗹𝗲𝘀 - 𝗝𝗼𝗶𝗻𝘀 Topics to Cover: - Introduction to Joins (INNER, LEFT, RIGHT, FULL) - CROSS JOIN and self-joins Practice: - Write queries using different types of JOINs to combine data from multiple table 𝗗𝗮𝘆 𝟲: 𝗦𝘂𝗯𝗾𝘂𝗲𝗿𝗶𝗲𝘀 𝗮𝗻𝗱 𝗡𝗲𝘀𝘁𝗲𝗱 𝗤𝘂𝗲𝗿𝗶𝗲𝘀 Topics to Cover: - Subqueries in SELECT, WHERE, and FROM clauses - Correlated subqueries Practice: - Write subqueries to filter, aggregate, an select data 𝗗𝗮𝘆 𝟳: 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗗𝗲𝘀𝗶𝗴𝗻 Topics to Cover: - Understanding ERD (Entity Relationship Diagram) - Normalization (1NF, 2NF, 3NF) - Primary and Foreign Key Practice: - Design a simple database schema and implement it in your database 𝗗𝗮𝘆 𝟴: 𝗠𝗼𝗱𝗶𝗳𝘆𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 - 𝗜𝗡𝗦𝗘𝗥𝗧, 𝗨𝗣𝗗𝗔𝗧𝗘, 𝗗𝗘𝗟𝗘𝗧𝗘 Topics to Cover: - INSERT INTO statement - UPDATE and DELETE statement - Transactions and rollback Practice: - Insert, update, and delete records in a table - Practice transactions with COMMIT and ROLLBACK 𝗗𝗮𝘆 𝟵: 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗤𝗟 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 Topics to Cover: - String functions (CONCAT, SUBSTR, etc.) - Date functions (NOW, DATEADD, DATEDIFF) - CASE statement Practice: - Use string and date function in queries - Write conditional logic using CASE 𝗗𝗮𝘆 𝟭𝟬: 𝗩𝗶𝗲𝘄𝘀 𝗮𝗻𝗱 𝗜𝗻𝗱𝗲𝘅𝗲𝘀 Topics to Cover: - Creating and using Views - Indexes: What they are and how they work - Pros and cons of using indexes Practice: - Create and query views - Explore how indexes affect query performance Free Courses With Certificates👇 https://bit.ly/Free_Courses_With_Certificates Upload CV Get Dream Job Here👇 https://bit.ly/Dream_Job_Internship Claim your Free $5 Bonus Here: https://bit.ly/3wUxw09 Join our WhatsApp Channel 👇 https://whatsapp.com/channel/0029VbAi27y0lwghBe9mE42i WhatsApp Community Link 👇 https://chat.whatsapp.com/HPJDqRr6G1sKQIqfdJF3pL 1️⃣ GROUP FOR PROGRAMMERS🖥 📎 Channel Link: [ https://t.me/realgroupforprogrammer ] --- 2️⃣ Free Online Courses with Certificate 📎 Channel Link: [ https://t.me/freecoursesupdates ] --- 3️⃣ Programming Guide 📎 Channel Link: [ https://t.me/programmings_guide ] --- 4️⃣ Data Structures and Algorithms 📎 Channel Link: [ https://t.me/datastructuresandalgoofficial ] Share with your College Whatsapp Groups & Friends too All the best 👍👍

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