Available now! Telegram Research 2025 โ the year's key insights 
SQL Programming Resources
Open in Telegram
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
Show more๐ Analytical overview of Telegram channel SQL Programming Resources
Channel SQL Programming Resources (@sqlanalyst) in the English language segment is an active participant. Currently, the community unites 75 855 subscribers, ranking 1 691 in the Technologies & Applications category and 4 346 in the India region.
๐ Audience metrics and dynamics
Since its creation on ะฝะตะฒัะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 75 855 subscribers.
According to the latest data from 10 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 492 over the last 30 days and by 19 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 3.55%. Within the first 24 hours after publication, content typically collects 1.33% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 692 views. Within the first day, a publication typically gains 1 012 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
- Thematic interests: Content is focused on key topics such as row, sql, customer_id, logic, desc.
๐ Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
โFind top SQL resources from global universities, cool projects, and learning materials for data analytics.
Admin: @coderfun
Useful links: heylink.me/DataAnalytics
Promotions: @love_dataโ
Thanks to the high frequency of updates (latest data received on 11 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
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| Date | Subscriber Growth | Mentions | Channels | |
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Channel Posts
๐ Now, Letโs move to the next topic:
โ
SQL Views vs Materialized Views
๐ง 1. What is a View?
A View is a virtual table created from a query.
๐ Stores only the SQL query
๐ Does NOT store actual data
๐ Always shows latest data from underlying tables
CREATE VIEW employee_view AS
SELECT ** FROM employees;
๐ง 2. What is a Materialized View?
A Materialized View stores the query result physically.
๐ Stores actual data
๐ Faster for reporting queries
๐ Needs refresh to get latest data
CREATE MATERIALIZED VIEW employee_summary AS
SELECT department,
AVG(salary) AS avg_salary
FROM employees
GROUP BY department;
โก 3. View vs Materialized View
Feature : View : Materialized View
Stores Data : โ No : โ
Yes
Storage Space : Very Low : Higher
Query Speed : Slower : Faster
Real-Time Data : โ
Yes : โ Needs Refresh
Best For : OLTP Systems : Reporting & Analytics
๐ฅ 4. Example
View
SELECT ** FROM employee_view;
Every execution runs the underlying query again.
Materialized View
SELECT ** FROM employee_summary;
Reads precomputed data directly.
๐ 5. Refresh Materialized View
REFRESH MATERIALIZED VIEW employee_summary;
Updates stored results with latest data.
๐ฏ 6. Real-World Usage
Views Used In:
โ Banking Applications
โ HR Systems
โ Transaction Systems
Materialized Views Used In:
โ BI Dashboards
โ Data Warehouses
โ Reporting Systems
๐ฏ 7. Practice Tasks
1. Create a view for high-salary employees
2. Query data from a view
3. Create department salary summary view
4. Create materialized view for sales summary
5. Refresh materialized view
โก Mini Challenge ๐ฅ
๐ Create a materialized view showing:
โข department
โข total employees
โข average salary
Then query it to find the department with the highest average salary.
Most asked interview question:
๐ When would you choose a Materialized View over a View?
โ
Answer: "When query execution is expensive and data changes less frequently, Materialized Views improve performance significantly."
Double Tap โค๏ธ For More
| 2 | What will this query return?
SELECT DATE_FORMAT('2026-06-10', '%d-%m-%Y'); | 810 |
| 3 | Which function is used to calculate difference between two dates? | 795 |
| 4 | Which function returns only the current date? | 751 |
| 5 | Which function returns the current date and time? | 700 |
| 6 |  ๐ ๐๐ฒ๐น๐ผ๐ถ๐๐๐ฒ ๐๐ฟ๐ฒ๐ฒ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐ฉ๐ถ๐ฟ๐๐๐ฎ๐น ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป | ๐๐ฝ๐ฝ๐น๐ ๐ก๐ผ๐!๐
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Real-World Data Analytics Tasks
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Self-Paced Learning
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No prior experience required! Build in-demand skills and stand out to recruiters. ๐ผ
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๐ข Share with friends who want to start a career in Data Analytics! | 1 174 |
| 7 | ๐ฅ Now, letโs move to the next topic
SQL Date & Time Functions โ
๐ง 1. Why Date Functions Matter?
Almost every real-world database contains dates ๐
โ Orders
โ Employee joining dates
โ Transactions
โ Login activity
SQL date functions help analyze time-based data ๐ฏ
โก 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
๐ฅ 3. NOW(), CURDATE(), CURTIME()
SELECT NOW();
โ Current date + time
SELECT CURDATE();
โ Current date only
SELECT CURTIME();
โ Current time only
๐ฅ 4. YEAR(), MONTH(), DAY()
SELECT YEAR(joining_date)
FROM employees;
SELECT MONTH(joining_date)
FROM employees;
SELECT DAY(joining_date)
FROM employees;
๐ฅ 5. DATEDIFF()
๐ Find difference between dates
SELECT DATEDIFF('2026-06-10', '2026-06-01');
โ Result โ 9 days
๐ฅ 6. DATE_FORMAT()
๐ Format dates professionally
SELECT DATE_FORMAT(NOW(), '%d-%m-%Y');
โ Example Output โ 06-06-2026
๐ฏ 7. Real Example
๐ Employees joined in 2025
SELECT *
FROM employees
WHERE YEAR(joining_date) = 2025;
๐ฏ 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
โก Mini Challenge ๐ฅ
๐ Find employees who joined in the last 30 days
โ
Solution Using DATEDIFF()
SELECT *
FROM employees
WHERE DATEDIFF(CURDATE(), joining_date) <= 30;
โ
Alternative Solution Using DATE_SUB()
SELECT *
FROM employees
WHERE joining_date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY);
๐ฅ Pro Tip
Date functions are heavily used in:
๐ Sales reports
๐ Monthly dashboards
๐ Retention analysis
๐ Time-series analytics ๐ฏ
Double Tap โค๏ธ For More | 1 137 |
| 8 |  ๐๐ &๐ ๐ ๐๐ฅ๐๐ ๐ข๐ป๐น๐ถ๐ป๐ฒ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐ฐ๐น๐ฎ๐๐ ๐
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| 9 |  ๐ ๐๐ฅ๐๐ ๐ข๐ป๐น๐ถ๐ป๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐ช๐ถ๐๐ต ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ฒ๐ ๐
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๐ Save this post and share it with friends who are looking to learn new skills for free! | 1 722 |
| 10 | Let's now understand the above Data Analyst Roadmap in detail: ๐ง โ๏ธ
1๏ธโฃ Learn Excel โญ๏ธ
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
2๏ธโฃ Learn SQL ๐ป
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
3๏ธโฃ Learn Python ๐ฑ
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
4๏ธโฃ Learn Power BI / Tableau ๐
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
5๏ธโฃ Learn Statistics & Probability ๐
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
6๏ธโฃ Learn Data Transformation ๐
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
7๏ธโฃ Learn Machine Learning ๐ง
Understand basic concepts like regression, classification, clustering, and decision trees. You donโt need to be an ML expert, just grasp how models work and when to use them.
Machine Learning: https://whatsapp.com/channel/0029VawtYcJ1iUxcMQoEuP0O
8๏ธโฃ Build Projects & Portfolio ๐น
Apply what youโve learned to real datasetsโlike sales analysis, churn prediction, or dashboard creation. Showcase your work on GitHub or a personal website.
Data Analytics Projects: https://whatsapp.com/channel/0029VbAbnvPLSmbeFYNdNA29
9๏ธโฃ Apply for Jobs ๐ผ
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 โฅ๏ธ for more | 1 626 |
| 11 |  ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ & ๐๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ถ๐๐ต ๐ฃ๐น๐ฎ๐ฐ๐ฒ๐บ๐ฒ๐ป๐ ๐ฆ๐๐ฝ๐ฝ๐ผ๐ฟ๐๐
Build a Career in Data Science & AI with a job-focused curriculum designed by industry experts.
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Learn from IIT Alumni & Top Industry Professionals
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Real-World Projects & Case Studies
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Mock Interviews & Career Support
Whether you're a student, fresher, or working professional, this program can help you transition into high-growth Data & AI roles.
๐ฏ Don't wait for opportunities โ create them!
๐๐๐ ๐ข๐ฌ๐ญ๐๐ซ ๐๐จ๐ฐ ๐:-
ย https://pdlink.in/4fdWxJB
โก Limited Seats Available โ Apply Fast! | 1 463 |
| 12 | โ
SQL Interview Challenge ๐ผ๐ง
๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐๐ฒ๐ฟ: How would you count how many employees are in each department?
๐ ๐ฒ: Iโd use the GROUP BY clause with COUNT(*) to aggregate employee counts per department.
๐น Query:
SELECT department, COUNT(*) AS employee_count
FROM employees
GROUP BY department;
โ Why it works:
โ GROUP BY groups rows by department
โ COUNT(*) counts employees in each group
โ Clean, scalable, and works with large datasets
๐ 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;
โ HAVING filters aggregated results
โ Useful in dashboards, reports, and business logic
๐ฌ Tap โค๏ธ for more SQL interview tips! | 1 661 |
| 13 | ๐ฅ Top SQL Projects for Data Analytics ๐
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. ๐
๐ข Beginner-Friendly SQL Projects (Great for Learning Basics)
โ
Employee Database Management โ Build and query HR data ๐
โ
Library Book Tracking โ Create a database for book loans and returns
โ
Student Grading System โ Analyze student performance data
โ
Retail Point-of-Sale System โ Work with sales and transactions ๐ฐ
โ
Hotel Booking System โ Manage customer bookings and check-ins ๐จ
๐ก Intermediate SQL Projects (For Stronger Querying & Analysis)
โก E-commerce Order Management โ Analyze order trends & customer data ๐
โก Sales Performance Analysis โ Work with revenue, profit margins & KPIs ๐
โก Inventory Control System โ Optimize stock tracking ๐ฆ
โก Real Estate Listings โ Manage and analyze property data ๐ก
โก Movie Rating System โ Analyze user reviews & trends ๐ฌ
๐ต Advanced SQL Projects (For Business-Level Analytics)
๐น Social Media Analytics โ Track user engagement & content trends
๐น Insurance Claim Management โ Fraud detection & risk assessment
๐น Customer Feedback Analysis โ Perform sentiment analysis on reviews โญ
๐น Freelance Job Platform โ Match freelancers with project opportunities
๐น Pharmacy Inventory System โ Optimize stock levels & prescriptions
๐ด Expert-Level SQL Projects (For Data-Driven Decision Making)
๐ฅ Music Streaming Analysis โ Study user behavior & song trends ๐ถ
๐ฅ Healthcare Prescription Tracking โ Identify patterns in medicine usage
๐ฅ Employee Shift Scheduling โ Optimize workforce efficiency โณ
๐ฅ Warehouse Stock Control โ Manage supply chain data efficiently
๐ฅ Online Auction System โ Analyze bidding patterns & sales performance ๐๏ธ
๐ 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 โฅ๏ธ if you want detailed explanation of each project
Share with credits: ๐ https://t.me/sqlspecialist
Hope it helps :) | 1 640 |
| 14 |  ๐ง๐ผ๐ฝ ๐ฑ ๐๐ฅ๐๐ ๐๐ & ๐ ๐ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐
These FREE courses can help you develop industry-relevant skills and create a strong foundation in ML & AI. ๐
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https://pdlink.in/4dXk9Sc
๐ Save this post and start your AI journey today! | 1 595 |
| 15 | What will this query return?
SELECT REPLACE('I love Java', 'Java', 'SQL'); | 1 879 |
| 16 | Which function removes extra spaces from text? | 1 727 |
| 17 | What does CONCAT() do in SQL? | 1 719 |
| 18 | Which function converts text to uppercase? | 1 681 |
| 19 | ๐ ๐ฃ๐ฎ๐ ๐๐ณ๐๐ฒ๐ฟ ๐ฃ๐น๐ฎ๐ฐ๐ฒ๐บ๐ฒ๐ป๐ | ๐๐ฒ๐ ๐๐ถ๐ฟ๐ฒ๐ฑ ๐ถ๐ป ๐ง๐ผ๐ฝ ๐ง๐ฒ๐ฐ๐ต ๐๐ผ๐บ๐ฝ๐ฎ๐ป๐ถ๐ฒ๐! ๐ผ๐ฅ
Master the most in-demand tech skills and kickstart your career with industry-leading training.
๐ฏ Program Highlights:
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Learn Coding from Industry Experts
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Real-World Projects & Interview Preparation
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Dedicated Placement Support
โ
Avg. Package: โน7.2 LPA
โ
Highest Package: โน41 LPA ๐
๐ Perfect for Freshers, Students & Career Switchers
๐๐๐ ๐ข๐ฌ๐ญ๐๐ซ ๐๐จ๐ฐ ๐:-
ย https://pdlink.in/42WOE5H
Hurry! Limited seats are available.๐โโ๏ธ | 1 895 |
| 20 | ๐ฅNow, letโs move to the next topic:
โ
SQL String Functions
๐ง 1. What are String Functions?
String functions are used to
๐ manipulate text data
๐ clean messy data
๐ format outputs
Used heavily in:
โ Data Analytics
โ Reporting
โ ETL processes
โก 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
๐ฅ 3. UPPER() & LOWER()
SELECT UPPER(name) AS upper_name
FROM employees;
SELECT LOWER(name) AS lower_name
FROM employees;
๐ฅ 4. LENGTH()
๐ Count number of characters
SELECT name, LENGTH(name) AS total_chars
FROM employees;
๐ฅ 5. CONCAT()
๐ Combine strings
SELECT CONCAT(first_name, ' ', last_name) AS full_name
FROM employees;
๐ฅ 6. SUBSTRING()
๐ Extract part of string
SELECT SUBSTRING(name, 1, 3)
FROM employees;
โ Extracts first 3 characters
๐ฅ 7. TRIM()
๐ Remove extra spaces
SELECT TRIM(' SQL ');
โ Result โ SQL
๐ฅ 8. REPLACE()
๐ Replace text inside string
SELECT REPLACE('I love Java', 'Java', 'SQL');
โ Result โ I love SQL
๐ฏ 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
โก Mini Challenge ๐ฅ
๐ Create employee usernames using:
first 3 letters of name + employee ID
Example:
Amit + 101 โ Ami101
๐ฅ Mini Challenge Solution ๐ฏ
๐ Requirement:
Create username using:
โข First 3 letters of name
โข Employee ID
Example:
Amit + 101 โ Ami101
โ
SQL Solution
SELECT name,
emp_id,
CONCAT(SUBSTRING(name, 1, 3), emp_id) AS username
FROM employees;
โ
Example Output
name : emp_id : username
Amit : 101 : Ami101
Neha : 102 : Neh102
Ravi : 103 : Rav103
๐ง How It Works
๐ SUBSTRING(name, 1, 3)
Extracts first 3 letters
๐ CONCAT()
Combines extracted text with employee ID
๐ฅ Real-World Usage:
String functions are commonly used for:
๐ Username generation
๐ Email formatting
๐ Data cleaning
๐ Customer IDs ๐ฏ
Double Tap โค๏ธ For More | 2 074 |
