Learning SQL?
It doesn't have to be so hard!

Start with the Big 6...

1. SELECT
2. FROM
3. WHERE
4. GROUP BY
5. HAVING
6. ORDER BY

SQL Roadmap
https://www.linkedin.com/posts/sql-analysts_a-beginners-roadmap-for-learning-sql-activity-7217377637046878208-eodZ

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SQL Cheatsheet
👇👇
https://www.linkedin.com/posts/sql-analysts_sql-cheat-sheet-here-is-a-quick-cheat-activity-7218105684964327424-GGHs?utm_source=share&utm_medium=member_android

Got an Interview tomorrow? Want to practice SQL & Python online?

Applying to jobs every day is great, but remember to practice too! When you get an interview unexpectedly, you'll be well-prepared and ready to shine!

Here are a some websites that can help you with practice and cracking the interviews:

https://www.linkedin.com/posts/sql-analysts_got-an-interview-tomorrow-want-to-practice-activity-7218187268685983744-W5KC

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Simple explanation of APPEND & MERGE two tables

Let’s think of SQL as a way to talk to a big toy box full of different toys.

### Imagine This:

1. Toy Box = Database: This is where all your toys (data) are stored.

2. Toys = Tables: Each type of toy is in its own section, like cars in one area and dolls in another.

3. Picking Toys = Queries: When you want to play with certain toys, you ask the toy box (database) to give them to you.

### Basic Commands:

1. SELECT: This is like saying, "Show me my cars!"
- Example: SELECT * FROM Cars; means "Show me all the cars!"

2. WHERE: This is like saying, "Show me only the red cars!"
- Example: SELECT * FROM Cars WHERE color = 'red';

3. INSERT: This is like adding a new toy to the toy box.
- Example: INSERT INTO Cars (color) VALUES ('blue'); means "Add a blue car!"

4. UPDATE: This is like changing a toy's color.
- Example: UPDATE Cars SET color = 'green' WHERE color = 'red'; means "Change all red cars to green."

5. DELETE: This is like taking a toy out of the toy box and saying goodbye.
- Example: DELETE FROM Cars WHERE color = 'blue'; means "Remove the blue car."

### Summary:

- SELECT = Look at your toys.
- WHERE = Choose specific toys.
- INSERT = Add new toys.
- UPDATE = Change your toys.
- DELETE = Remove toys.

That’s it! SQL helps you play with and organize your toys (data) in the best way!

Here are examples of how SQL is used in a product company:

### 1. Product Inventory Management

Scenario: Managing product details and stock levels.

- SELECT: View all products in inventory.
- Query: SELECT * FROM Products;

- WHERE: Find products that are out of stock.
- Query: SELECT * FROM Products WHERE stock_quantity = 0;

- INSERT: Add a new product to the inventory.
- Query: INSERT INTO Products (name, price, category, stock_quantity) VALUES ('Wireless Headphones', 150.00, 'Electronics', 100);

- UPDATE: Update the stock quantity after a sale.
- Query: UPDATE Products SET stock_quantity = stock_quantity - 1 WHERE product_id = 101;

- DELETE: Remove a discontinued product.
- Query: DELETE FROM Products WHERE product_id = 101;

### 2. Order Processing

Scenario: Managing customer orders.

- SELECT: View all customer orders.
- Query: SELECT * FROM Orders;

- WHERE: Find orders for a specific customer.
- Query: SELECT * FROM Orders WHERE customer_id = 123;

- INSERT: Add a new order.
- Query: INSERT INTO Orders (customer_id, order_date, total_amount) VALUES (123, '2024-07-14', 299.99);

- UPDATE: Update the status of an order.
- Query: UPDATE Orders SET status = 'Shipped' WHERE order_id = 456;

- DELETE: Cancel an order.
- Query: DELETE FROM Orders WHERE order_id = 456 AND status = 'Pending';

### 3. Customer Management

Scenario: Keeping track of customer information.

- SELECT: View all customer details.
- Query: SELECT * FROM Customers;

- WHERE: Find customers from a specific city.
- Query: SELECT * FROM Customers WHERE city = 'New York';

- INSERT: Add a new customer.
- Query: INSERT INTO Customers (name, email, phone, city) VALUES ('Jane Doe', 'jane@example.com', '555-1234', 'Los Angeles');

- UPDATE: Update a customer's contact information.
- Query: UPDATE Customers SET phone = '555-5678' WHERE customer_id = 123;

- DELETE: Remove a customer record.
- Query: DELETE FROM Customers WHERE customer_id = 123;

### 4. Sales Analytics

Scenario: Analyzing sales data for insights.

- SELECT: View total sales for a specific period.
- Query: SELECT SUM(total_amount) FROM Orders WHERE order_date BETWEEN '2024-01-01' AND '2024-06-30';

- WHERE: Find top-selling products.
- Query: SELECT product_id, SUM(quantity) FROM OrderDetails GROUP BY product_id ORDER BY SUM(quantity) DESC LIMIT 5;

- INSERT: Log a new sales report.
- Query: INSERT INTO SalesReports (report_date, total_sales) VALUES ('2024-07-01', 15000);

- UPDATE: Adjust sales forecasts based on new data.
- Query: UPDATE SalesForecast SET forecast_amount = 20000 WHERE forecast_month = '2024-07';

- DELETE: Remove outdated sales reports.
- Query: DELETE FROM SalesReports WHERE report_date < '2023-01-01';

In a product company, SQL is crucial for managing inventory, processing orders, handling customer data, and analyzing sales. These commands help streamline operations and provide valuable insights for decision-making.