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SQL Resources - учебные материалы

SQL Resources - учебные материалы

Топ SQL ресурсы от университетов мира, крутые проекты, учебные материалы для data analytics и программирования.

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08.09.2026
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08.09.2026
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Топ SQL ресурсы от университетов мира, крутые проекты, учебные материалы для data analytics и программирования.

Подписчиков 76,639
Тематика Технологии
Язык Русский
Ссылка t.me/sqlanalyst

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📊 SQL Programming Resources - сборник лучших материалов по SQL от ведущих университетов мира. Идеально для изучения запросов, баз данных и аналитики данных. 🎓 Включает курсы от MIT, Stanford, практические проекты по обработке больших данных, оптимизации запросов. Готовые примеры для data science,...Читать далее ↓Описание ↑

📊 SQL Programming Resources - сборник лучших материалов по SQL от ведущих университетов мира. Идеально для изучения запросов, баз данных и аналитики данных.

🎓 Включает курсы от MIT, Stanford, практические проекты по обработке больших данных, оптимизации запросов. Готовые примеры для data science, BI инструментов вроде Tableau, Power BI.

🔥 Полезно для начинающих и опытных: cheat sheets, видеоуроки, datasets для практики. Освойте JOIN, оконные функции, индексацию и продвинутые техники для карьеры в IT и аналитике.

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SQL Resources - учебные материалы
SQL Resources - учебные материалы
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🚀 SQL Roadmap 2026 — Part 2 SQL SELECT Statement & Retrieving Data Now that you understand databases, tables, rows, columns, primary keys, and foreign keys, it's time to learn the most fundamental SQL command: SELECT. Almost every SQL analysis starts with retrieving data. 1️⃣ What is SELECT? SELECT is used to retrieve data from one or more columns in a table. Basic syntax: SELECT column_name FROM table_name; Example: SELECT customer_name FROM customers; 2️⃣ Select Multiple Columns You can retrieve multiple columns by separating them with commas. SELECT customer_id, customer_name, city FROM customers; Result: customer_id | customer_name | city 1 | Rahul | Mumbai 2 | Priya | Delhi 3 | Amit | Pune 3️⃣ Select All Columns Using * If you want every column: SELECT * FROM customers; * means all columns. ⚠️ Interview Tip: Although SELECT * is convenient while exploring data, avoid relying on it in production queries. Prefer selecting only needed columns. 4️⃣ Column Aliases Use AS to give a column a different name in the result. SELECT customer_name AS name, city AS location FROM customers; The original table is not changed. 5️⃣ Aliases Without AS SELECT customer_name name, city location FROM customers; However, using AS is generally clearer for beginners. 6️⃣ Calculations Inside SELECT SELECT product_name, price, price * 0.90 AS discounted_price FROM products; 7️⃣ Arithmetic Operators + Addition, - Subtraction, * Multiplication, / Division SELECT product_name, selling_price, cost_price, selling_price - cost_price AS profit FROM products; 8️⃣ Using Expressions SELECT product_name, quantity, unit_price, quantity * unit_price AS total_value FROM order_items; 9️⃣ DISTINCT Removes duplicate values. SELECT DISTINCT city FROM customers; 🔟 DISTINCT Across Multiple Columns SELECT DISTINCT city, customer_segment FROM customers; 1️⃣1️⃣ Using SELECT With Text SELECT customer_name, 'Active Customer' AS status FROM customers; 1️⃣2️⃣ Combining Columns SELECT first_name, last_name, CONCAT(first_name, ' ', last_name) AS full_name FROM employees; 1️⃣3️⃣ SELECT With a Condition SELECT customer_name, city FROM customers WHERE city = 'Mumbai'; 1️⃣5️⃣ SQL Query Structure At this stage, learn this basic pattern: SELECT column1, column2 FROM table_name; SELECT column1, column2 FROM table_name WHERE condition; 1️⃣6️⃣ A Real-World Example Manager asks: "Show me product name, selling price, cost price, and profit" SELECT product_name, selling_price, cost_price, selling_price - cost_price AS profit FROM products;
SQL Resources - учебные материалы
SQL Resources - учебные материалы
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🧠 Common Beginner Mistakes ❌ Mistake 1: Forgetting FROM Wrong: SELECT customer_name; Correct: SELECT customer_name FROM customers; ❌ Mistake 2: Using commas incorrectly Wrong: SELECT customer_id customer_name city Correct: Use commas ❌ Mistake 3: Using quotes around column names unnecessarily SELECT 'customer_name' treats it as text, not column. ❌ Mistake 4: Confusing * SELECT * means return all columns, not all rows. 🎯 Practice Questions Q1. Display all columns from employees Q2. Display employee_name, salary, department_id Q3. Display unique cities from customers Q4. Display product_name, price and 15% discounted price Q5. Display product_name, selling_price, cost_price and profit Q6. Display customer names with alias Customer Q7. Display employee name and salary increased by 10% ✅ Answers -- A1 SELECT * FROM employees; -- A2 SELECT employee_name, salary, department_id FROM employees; -- A3 SELECT DISTINCT city FROM customers; -- A4 SELECT product_name, price, price * 0.85 AS discounted_price FROM products; -- A5 SELECT product_name, selling_price, cost_price, selling_price - cost_price AS profit FROM products; -- A6 SELECT customer_name AS Customer FROM customers; -- A7 SELECT employee_name, salary, salary * 1.10 AS increased_salary FROM employees; 💼 Interview Questions 1. What does SELECT do? → Retrieves data from columns. 2. What does SELECT * mean? → Retrieves all columns. 3. What is DISTINCT? → Removes duplicate combinations. 4. What is an alias? → Temporary name for clarity. 5. Can SQL perform calculations? → Yes, arithmetic expressions directly in queries. Double Tap ❤️ For Part-3
SQL Resources - учебные материалы
SQL Resources - учебные материалы
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𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀 Explore Google Cloud learning resources covering AI/ML fundamentals through practical and advanced concepts. 🚀 Learn AI → Practice ML → Build Skills → Become Career Ready 🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:- Ссылка скрыта 🚀 Learn AI → Practice ML → Build Skills → Become Career Ready
SQL Resources - учебные материалы
SQL Resources - учебные материалы
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𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 📊 Start learning with FREE courses from leading companies and build in-demand skills for 2026. 🔹 Data Analytics Essentials — Cisco 🔹 Introduction to Data Science — Cisco 🔹 Python for Data Science — IBM 🔹 Azure Data Fundamentals — Microsoft 🔹 Google Analytics — Google 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:-  Ссылка скрыта 🔥 Start learning today and upgrade your resume with job-ready Data & Analytics skills!
SQL Resources - учебные материалы
SQL Resources - учебные материалы
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🎯 Final Portfolio KPIs 📊 Customer Acquisition, Retention, Churn 📊 Cohort Retention, Repeat Purchase Rate, CLV 📊 Revenue Growth, AOV, Purchase Frequency 📊 RFM Segmentation, High-Value Customer Analysis 📊 Monthly Revenue, Revenue by Cohort, Customer Engagement  This project is especially useful for Data Analysts, Product Analysts, Growth Analysts, CRM Analysts, and Business Intelligence professionals because it combines SQL fundamentals with advanced customer analytics. Double Tap ❤️ For More
SQL Resources - учебные материалы
SQL Resources - учебные материалы
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🚀 SQL Project Series #30: E-Commerce Customer Retention & Cohort Analysis 📊 Perfect project for Data, Product, and CRM Analysts. This one hits both SQL fundamentals + advanced customer analytics. 🎯 Business Objectives ✅ Analyze customer retention ✅ Build monthly customer cohorts ✅ Measure repeat purchases ✅ Calculate customer lifetime value ✅ Identify high-value customers ✅ Analyze customer churn ✅ Compare cohort performance ✅ Measure revenue retention 📂 Step 1: Create Database CREATE DATABASE cohort_analysis_db; USE cohort_analysis_db; 📂 Step 2: Create Customers Table CREATE TABLE customers ( customer_id INT PRIMARY KEY, customer_name VARCHAR(100), signup_date DATE, city VARCHAR(50) ); 📂 Step 3: Create Orders Table CREATE TABLE orders ( order_id INT PRIMARY KEY, customer_id INT, order_date DATE, order_amount DECIMAL(10,2), order_status VARCHAR(20), FOREIGN KEY (customer_id) REFERENCES customers(customer_id) ); 📂 Step 4: Insert Sample Customers INSERT INTO customers VALUES (1,'Rahul Sharma','2025-01-05','Mumbai'), (2,'Priya Verma','2025-01-10','Delhi'), (3,'Amit Patel','2025-02-15','Pune'), (4,'Sneha Joshi','2025-02-20','Bangalore'), (5,'Rohan Gupta','2025-03-05','Hyderabad'), (6,'Anjali Shah','2025-03-15','Mumbai'); 📂 Step 5: Insert Sample Orders INSERT INTO orders VALUES (1001,1,'2025-01-10',2500,'Completed'), (1002,1,'2025-02-15',3200,'Completed'), (1003,1,'2025-03-20',1800,'Completed'), (1004,2,'2025-01-20',1500,'Completed'), (1005,2,'2025-03-05',2800,'Completed'), (1006,3,'2025-02-20',4200,'Completed'), (1007,3,'2025-03-25',3500,'Completed'), (1008,4,'2025-02-25',1800,'Completed'), (1009,5,'2025-03-10',2200,'Completed'), (1010,5,'2025-04-15',3100,'Completed'), (1011,6,'2025-03-20',2700,'Completed'); 🧠 SQL Concepts You'll Practice ✔ Date Functions ✔ GROUP BY, Aggregate Functions, JOINs ✔ CTEs, CASE WHEN, Subqueries ✔ Window Functions, LAG(), DENSE_RANK() ✔ COUNT DISTINCT, Cohort Analysis 📊 Business KPIs You Can Build 📈 Monthly Active Customers 📈 New Customers by Month 📈 Repeat Customers, Repeat Purchase Rate 📈 Customer Retention Rate, Churn Rate 📈 Customer Lifetime Value (CLV), AOV 📈 Revenue per Cohort, Cohort Retention Rate 📈 RFM Segmentation, High-Value Customer % 💡 Example Queries 1. Find Customer Cohort WITH customer_cohort AS ( SELECT customer_id, DATE_TRUNC('month', MIN(signup_date)) AS cohort_month FROM customers GROUP BY customer_id ) SELECT * FROM customer_cohort ORDER BY cohort_month; 2. Monthly Customer Activity SELECT DATE_TRUNC('month', order_date) AS order_month, COUNT(DISTINCT customer_id) AS active_customers FROM orders WHERE order_status = 'Completed' GROUP BY DATE_TRUNC('month', order_date) ORDER BY order_month; 3. Repeat Customers SELECT customer_id, COUNT(order_id) AS total_orders FROM orders WHERE order_status = 'Completed' GROUP BY customer_id HAVING COUNT(order_id) > 1; 4. Customer Lifetime Value SELECT customer_id, SUM(order_amount) AS lifetime_value FROM orders WHERE order_status = 'Completed' GROUP BY customer_id ORDER BY lifetime_value DESC; 5. Rank Customers by Revenue WITH customer_revenue AS ( SELECT customer_id, SUM(order_amount) AS revenue FROM orders WHERE order_status = 'Completed' GROUP BY customer_id ) SELECT customer_id, revenue, DENSE_RANK() OVER (ORDER BY revenue DESC) AS revenue_rank FROM customer_revenue;
SQL Resources - учебные материалы
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