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SQL Programming Resources

SQL Programming Resources

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Find top SQL resources from global universities, cool projects, and learning materials for data analytics. Admin: @coderfun Useful links: heylink.me/DataAnalytics Promotions: @love_data

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📈 Аналитический обзор Telegram-канала SQL Programming Resources

Канал SQL Programming Resources (@sqlanalyst) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 75 847 подписчиков, занимая 1 691 место в категории Технологии и приложения и 4 346 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 75 847 подписчиков.

Согласно последним данным от 09 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 487, а за последние 24 часа — 14, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 3.45%. В первые 24 часа после публикации контент обычно набирает 1.34% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 2 619 просмотров. В течение первых суток публикация набирает 1 017 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 4.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как row, sql, customer_id, logic, desc.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Find top SQL resources from global universities, cool projects, and learning materials for data analytics. Admin: @coderfun Useful links: heylink.me/DataAnalytics Promotions: @love_data

Благодаря высокой частоте обновлений (последние данные получены 10 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

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Посты канала
What will this query return? SELECT DATE_FORMAT('2026-06-10', '%d-%m-%Y');
Anonymous voting

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Which function is used to calculate difference between two dates?
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Which function returns only the current date?
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Which function returns the current date and time?
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🔥 Now, let’s move to the next topic SQL Date & Time Functions ✅ 🧠 1. Why Date Functions Matter? Almost every real-world database contains dates 👇 ✔ Orders ✔ Employee joining dates ✔ Transactions ✔ Login activity SQL date functions help analyze time-based data 💯 ⚡ 2. Common Date Functions Function : Purpose NOW() : Current date & time CURDATE() : Current date CURTIME() : Current time YEAR() : Extract year MONTH() : Extract month DAY() : Extract day DATEDIFF() : Difference between dates DATE_FORMAT() : Format dates 🔥 3. NOW(), CURDATE(), CURTIME() SELECT NOW(); ✔ Current date + time SELECT CURDATE(); ✔ Current date only SELECT CURTIME(); ✔ Current time only 🔥 4. YEAR(), MONTH(), DAY() SELECT YEAR(joining_date) FROM employees; SELECT MONTH(joining_date) FROM employees; SELECT DAY(joining_date) FROM employees; 🔥 5. DATEDIFF() 👉 Find difference between dates SELECT DATEDIFF('2026-06-10', '2026-06-01'); ✔ Result → 9 days 🔥 6. DATE_FORMAT() 👉 Format dates professionally SELECT DATE_FORMAT(NOW(), '%d-%m-%Y'); ✔ Example Output → 06-06-2026 🎯 7. Real Example 👉 Employees joined in 2025 SELECT * FROM employees WHERE YEAR(joining_date) = 2025; 🎯 8. Practice Tasks 1. Show current date 2. Show current time 3. Extract joining year from employee table 4. Find employees joined in specific month 5. Calculate days between two dates ⚡ Mini Challenge 🔥 👉 Find employees who joined in the last 30 days ✅ Solution Using DATEDIFF() SELECT * FROM employees WHERE DATEDIFF(CURDATE(), joining_date) <= 30; ✅ Alternative Solution Using DATE_SUB() SELECT * FROM employees WHERE joining_date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY); 🔥 Pro Tip Date functions are heavily used in: 👉 Sales reports 👉 Monthly dashboards 👉 Retention analysis 👉 Time-series analytics 💯 Double Tap ❤️ For More
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Let's now understand the above Data Analyst Roadmap in detail: 🧠↗️ 1️⃣ Learn Excel ⭐️ The foundation of data analysis. Learn formulas, pivot tables, charts, VLOOKUP/XLOOKUP, and conditional formatting. It helps in quick data cleaning and presenting insights. Excel Resources: https://whatsapp.com/channel/0029VaifY548qIzv0u1AHz3i 2️⃣ Learn SQL 💻 Essential for working with databases. Focus on SELECT, JOIN, GROUP BY, WHERE, and subqueries to extract and manipulate data from relational databases. SQL Resources: https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v 3️⃣ Learn Python 📱 A powerful tool for data manipulation and automation. Master libraries like pandas, numpy, matplotlib, and seaborn for data cleaning and visualization. Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L 4️⃣ Learn Power BI / Tableau 📈 These tools help create interactive dashboards and visual reports. Learn how to import data, create filters, use DAX (Power BI), and design clear visualizations. Power BI Resources: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c 5️⃣ Learn Statistics & Probability 🛍 Know about descriptive stats (mean, median, mode), inferential stats, distributions, hypothesis testing, and correlation. Vital for making sense of data trends. Statistics Resources: https://whatsapp.com/channel/0029Vat3Dc4KAwEcfFbNnZ3O 6️⃣ Learn Data Transformation 📈 Learn how to clean, shape, and prepare data for analysis. Use Python (pandas) or Power Query in Power BI, and understand ETL (Extract, Transform, Load) processes. Data Cleaning: https://whatsapp.com/channel/0029VarxgFqATRSpdUeHUA27 7️⃣ Learn Machine Learning 🧠 Understand basic concepts like regression, classification, clustering, and decision trees. You don’t need to be an ML expert, just grasp how models work and when to use them. Machine Learning: https://whatsapp.com/channel/0029VawtYcJ1iUxcMQoEuP0O 8️⃣ Build Projects & Portfolio 🏹 Apply what you’ve learned to real datasets—like sales analysis, churn prediction, or dashboard creation. Showcase your work on GitHub or a personal website. Data Analytics Projects: https://whatsapp.com/channel/0029VbAbnvPLSmbeFYNdNA29 9️⃣ Apply for Jobs 💼 With your skills and portfolio in place, start applying for data analyst roles. Tailor your resume using keywords from job descriptions and prepare to answer SQL and Excel tasks in interviews. Jobs & Internship Opportunities: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226 Share with credits: https://t.me/sqlspecialist Double Tap ♥️ for more
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𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗔𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 𝗦𝘂𝗽𝗽𝗼𝗿𝘁😍 Build a Career in Data
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✅ SQL Interview Challenge 💼🧠 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝗲𝗿: How would you count how many employees are in each department? 𝗠𝗲: I’d use the GROUP BY clause with COUNT(*) to aggregate employee counts per department. 🔹 Query: SELECT department, COUNT(*) AS employee_count FROM employees GROUP BY department; ✔ Why it works: – GROUP BY groups rows by department – COUNT(*) counts employees in each group – Clean, scalable, and works with large datasets 🔎 Bonus Insight: To filter only departments with more than 5 employees: SELECT department, COUNT(*) AS employee_count FROM employees GROUP BY department HAVING COUNT(*) > 5; – HAVING filters aggregated results – Useful in dashboards, reports, and business logic 💬 Tap ❤️ for more SQL interview tips!
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🔥 Top SQL Projects for Data Analytics 🚀 If you're preparing for a Data Analyst role or looking to level up your SQL skills, working on real-world projects is the best way to learn! Here are some must-do SQL projects to strengthen your portfolio. 👇 🟢 Beginner-Friendly SQL Projects (Great for Learning Basics) ✅ Employee Database Management – Build and query HR data 📊 ✅ Library Book Tracking – Create a database for book loans and returns ✅ Student Grading System – Analyze student performance data ✅ Retail Point-of-Sale System – Work with sales and transactions 💰 ✅ Hotel Booking System – Manage customer bookings and check-ins 🏨 🟡 Intermediate SQL Projects (For Stronger Querying & Analysis) ⚡ E-commerce Order Management – Analyze order trends & customer data 🛒 ⚡ Sales Performance Analysis – Work with revenue, profit margins & KPIs 📈 ⚡ Inventory Control System – Optimize stock tracking 📦 ⚡ Real Estate Listings – Manage and analyze property data 🏡 ⚡ Movie Rating System – Analyze user reviews & trends 🎬 🔵 Advanced SQL Projects (For Business-Level Analytics) 🔹 Social Media Analytics – Track user engagement & content trends 🔹 Insurance Claim Management – Fraud detection & risk assessment 🔹 Customer Feedback Analysis – Perform sentiment analysis on reviews ⭐ 🔹 Freelance Job Platform – Match freelancers with project opportunities 🔹 Pharmacy Inventory System – Optimize stock levels & prescriptions 🔴 Expert-Level SQL Projects (For Data-Driven Decision Making) 🔥 Music Streaming Analysis – Study user behavior & song trends 🎶 🔥 Healthcare Prescription Tracking – Identify patterns in medicine usage 🔥 Employee Shift Scheduling – Optimize workforce efficiency ⏳ 🔥 Warehouse Stock Control – Manage supply chain data efficiently 🔥 Online Auction System – Analyze bidding patterns & sales performance 🛍️ 🔗 Pro Tip: If you're applying for Data Analyst roles, pick 3-4 projects, clean the data, and create interactive dashboards using Power BI/Tableau to showcase insights! React with ♥️ if you want detailed explanation of each project Share with credits: 👇 https://t.me/sqlspecialist Hope it helps :)
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𝗧𝗼𝗽 𝟱 𝗙𝗥𝗘𝗘 𝗔𝗜 & 𝗠𝗟 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀 These FREE courses can help you develop industry-relevant ski
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What will this query return? SELECT REPLACE('I love Java', 'Java', 'SQL');
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Which function removes extra spaces from text?
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What does CONCAT() do in SQL?
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Which function converts text to uppercase?
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🔥Now, let’s move to the next topic: ✅ SQL String Functions 🧠 1. What are String Functions? String functions are used to 👉 manipulate text data 👉 clean messy data 👉 format outputs Used heavily in: ✔ Data Analytics ✔ Reporting ✔ ETL processes ⚡ 2. Common String Functions Function : Purpose UPPER() : Convert to uppercase LOWER() : Convert to lowercase LENGTH() : Count characters CONCAT() : Join strings SUBSTRING() : Extract part of string TRIM() : Remove spaces REPLACE() : Replace text 🔥 3. UPPER() & LOWER() SELECT UPPER(name) AS upper_name FROM employees; SELECT LOWER(name) AS lower_name FROM employees; 🔥 4. LENGTH() 👉 Count number of characters SELECT name, LENGTH(name) AS total_chars FROM employees; 🔥 5. CONCAT() 👉 Combine strings SELECT CONCAT(first_name, ' ', last_name) AS full_name FROM employees; 🔥 6. SUBSTRING() 👉 Extract part of string SELECT SUBSTRING(name, 1, 3) FROM employees; ✔ Extracts first 3 characters 🔥 7. TRIM() 👉 Remove extra spaces SELECT TRIM(' SQL '); ✔ Result → SQL 🔥 8. REPLACE() 👉 Replace text inside string SELECT REPLACE('I love Java', 'Java', 'SQL'); ✔ Result → I love SQL 🎯 9. Practice Tasks 1. Convert names to uppercase 2. Convert emails to lowercase 3. Combine first & last names 4. Extract first 4 letters of names 5. Remove extra spaces from city names ⚡ Mini Challenge 🔥 👉 Create employee usernames using: first 3 letters of name + employee ID Example: Amit + 101 → Ami101 🔥 Mini Challenge Solution 💯 👉 Requirement: Create username using: • First 3 letters of name • Employee ID Example: Amit + 101 → Ami101 ✅ SQL Solution SELECT name, emp_id, CONCAT(SUBSTRING(name, 1, 3), emp_id) AS username FROM employees; ✅ Example Output name : emp_id : username Amit : 101 : Ami101 Neha : 102 : Neh102 Ravi : 103 : Rav103 🧠 How It Works 👉 SUBSTRING(name, 1, 3) Extracts first 3 letters 👉 CONCAT() Combines extracted text with employee ID 🔥 Real-World Usage: String functions are commonly used for: 👉 Username generation 👉 Email formatting 👉 Data cleaning 👉 Customer IDs 💯 Double Tap ❤️ For More
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