Data Analytics

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Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data

Network:Data Analytics India2 306 Technologies & Applications1 090...

📈 Analytical overview of Telegram channel Data Analytics

Channel Data Analytics (@sqlspecialist) in the English language segment is an active participant. Currently, the community unites 110 320 subscribers, ranking 1 090 in the Technologies & Applications category and 2 306 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 110 320 subscribers.

According to the latest data from 22 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 734 over the last 30 days and by 37 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 3.32%. Within the first 24 hours after publication, content typically collects 1.54% reactions from the total number of subscribers.
Post reach: On average, each post receives 3 665 views. Within the first day, a publication typically gains 1 699 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
Thematic interests: Content is focused on key topics such as row, sql, analytic, analyst, visualization.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data”

Thanks to the high frequency of updates (latest data received on 23 July, 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.

110 320

Subscribers

+3724 hours

+1327 days

+73430 days

3 665

Post views

~ 1 69924 hours

~ 2 20148 hours

3.32%

Engagement rate

~ 2

Posts per day

Ads index

beta

Posts Archive

110 320

If you want to Excel at using the most used database language in the world, learn these powerful SQL features: • Wildcards (%, _) – Flexible pattern matching • Window Functions – ROW_NUMBER(), RANK(), DENSE_RANK(), LEAD(), LAG() • Common Table Expressions (CTEs) – WITH for better readability • Recursive Queries – Handle hierarchical data • STRING Functions – LEFT(), RIGHT(), LEN(), TRIM(), UPPER(), LOWER() • Date Functions – DATEDIFF(), DATEADD(), FORMAT() • Pivot & Unpivot – Transform row data into columns • Aggregate Functions – SUM(), AVG(), COUNT(), MIN(), MAX() • Joins & Self Joins – Master INNER, LEFT, RIGHT, FULL, SELF JOIN • Indexing – Speed up queries with CREATE INDEX Like it if you need a complete tutorial on all these topics! 👍❤️

110 320

Which of the following aggregate function is used to calculate mean in SQL?

Anonymous voting

110 320

SQL Interview Questions with detailed answers: 🔟 How do you calculate a running total in SQL? A running total (also known as a cumulative sum) is the sum of values up to the current row. You can calculate it using window functions like SUM() OVER(). Using SUM() with OVER() (Best Approach)

SELECT employee_id, salary, SUM(salary) OVER (ORDER BY employee_id) AS running_total FROM employees;

Explanation: SUM(salary) OVER (ORDER BY employee_id) calculates a cumulative sum. The ORDER BY employee_id ensures the total is calculated sequentially. Running Total Partitioned by a Category To calculate the running total within groups (e.g., per department): 👇

SELECT department_id, employee_id, salary, SUM(salary) OVER (PARTITION BY department_id ORDER BY employee_id) AS running_total FROM employees;

Top 20 SQL Interview Questions Like this post if you want me to continue this SQL Interview Series♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

110 320

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110 320

Many people pay too much to learn Excel, but my mission is to break down barriers. I have shared complete learning series to learn Excel from scratch. Here are the links to the Excel series Complete Excel Topics for Data Analyst: https://t.me/sqlspecialist/547 Part-1: https://t.me/sqlspecialist/617 Part-2: https://t.me/sqlspecialist/620 Part-3: https://t.me/sqlspecialist/623 Part-4: https://t.me/sqlspecialist/624 Part-5: https://t.me/sqlspecialist/628 Part-6: https://t.me/sqlspecialist/633 Part-7: https://t.me/sqlspecialist/634 Part-8: https://t.me/sqlspecialist/635 Part-9: https://t.me/sqlspecialist/640 Part-10: https://t.me/sqlspecialist/641 Part-11: https://t.me/sqlspecialist/644 Part-12: https://t.me/sqlspecialist/646 Part-13: https://t.me/sqlspecialist/650 Part-14: https://t.me/sqlspecialist/651 Part-15: https://t.me/sqlspecialist/654 Part-16: https://t.me/sqlspecialist/655 Part-17: https://t.me/sqlspecialist/658 Part-18: https://t.me/sqlspecialist/660 Part-19: https://t.me/sqlspecialist/661 Part-20: https://t.me/sqlspecialist/662 Bonus: https://t.me/sqlspecialist/663 I saw a lot of big influencers copy pasting my content after removing the credits. It's absolutely fine for me as more people are getting free education because of my content. But I will really appreciate if you share credits for the time and efforts I put in to create such valuable content. I hope you can understand. You can join this telegram channel for more Excel Resources: https://t.me/excel_data Python Learning Series: https://t.me/sqlspecialist/615 Complete SQL Topics for Data Analysts: https://t.me/sqlspecialist/523 Complete Power BI Topics for Data Analysts: https://t.me/sqlspecialist/588 I'll now start with learning series on SQL Interviews & Tableau. Thanks to all who support our channel and share the content with proper credits. You guys are really amazing. Hope it helps :)

110 320

Is SQL a case-sensitive language?

Anonymous voting

110 320

Which of the following is not a programming language?

Anonymous voting

110 320

SQL Interview Questions with detailed answers: 9️⃣ What is the difference between UNION and UNION ALL? Both UNION and UNION ALL are used to combine the results of two or more SELECT queries, but they handle duplicate records differently. 1️⃣ UNION (Removes Duplicates) Combines result sets and removes duplicate rows automatically. It performs an implicit DISTINCT operation, which may affect performance.

SELECT employee_id, department_id FROM employees UNION SELECT employee_id, department_id FROM managers;

2️⃣ UNION ALL (Keeps Duplicates) Combines result sets without removing duplicates. Faster than UNION because it doesn’t perform duplicate elimination.

SELECT employee_id, department_id FROM employees UNION ALL SELECT employee_id, department_id FROM managers;

Key Differences: UNION removes duplicates, which may cause performance overhead. UNION ALL keeps all records, making it more efficient. Top 20 SQL Interview Questions Like this post if you want me to continue this SQL Interview Series♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

110 320

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110 320

Here are some most popular Python libraries for data visualization: Matplotlib – The most fundamental library for static charts. Best for basic visualizations like line, bar, and scatter plots. Highly customizable but requires more coding. Seaborn – Built on Matplotlib, it simplifies statistical data visualization with beautiful defaults. Ideal for correlation heatmaps, categorical plots, and distribution analysis. Plotly – Best for interactive visualizations with zooming, hovering, and real-time updates. Great for dashboards, web applications, and 3D plotting. Bokeh – Designed for interactive and web-based visualizations. Excellent for handling large datasets, streaming data, and integrating with Flask/Django. Altair – A declarative library that makes complex statistical plots easy with minimal code. Best for quick and clean data exploration. For static charts, start with Matplotlib or Seaborn. If you need interactivity, use Plotly or Bokeh. For quick EDA, Altair is a great choice. Like if you want me to post more quizzes related to Python Programming ♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :) #python

110 320

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110 320

Which of the following python library is used for data visualization?

Anonymous voting

110 320

SQL Interview Questions with detailed answers: 8️⃣ How do you identify missing values in a dataset using SQL? In SQL, missing values are usually represented as NULL. You can detect them using the IS NULL condition. Basic Query to Find NULL Values in a Column

SELECT * FROM employees WHERE salary IS NULL;

This retrieves all employees where the salary is missing. Find Missing Values in Multiple Columns

SELECT * FROM employees WHERE salary IS NULL OR department_id IS NULL;

This checks for NULL values in both the salary and department_id columns. Count Missing Values in Each Column

SELECT COUNT(*) AS total_rows, COUNT(salary) AS non_null_salaries, COUNT(department_id) AS non_null_departments FROM employees;

Since COUNT(column_name) ignores NULL values, subtracting it from COUNT(*) gives the number of missing values. Top 20 SQL Interview Questions Like this post if you want me to continue this SQL Interview Series♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

110 320

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110 320

Which of the following is not an aggregate function in SQL?

Anonymous voting

110 320

7️⃣ What is a Common Table Expression (CTE), and when should you use it? A Common Table Expression (CTE) is a temporary result set that can be referenced within a SELECT, INSERT, UPDATE, or DELETE statement. It improves code readability and allows recursive queries. Syntax of a CTE

WITH cte_name AS ( SELECT column1, column2 FROM table_name WHERE condition ) SELECT * FROM cte_name;

Example: Using CTE to Find Employees with High Salaries

WITH HighSalaryEmployees AS ( SELECT employee_id, first_name, salary FROM employees WHERE salary > 70000 ) SELECT * FROM HighSalaryEmployees;

When to Use CTEs? 1️⃣ Improve Readability – Makes complex queries easier to understand. 2️⃣ Avoid Subquery Repetition – Instead of repeating subqueries, define them once in a CTE. 3️⃣ Enable Recursion – Useful for hierarchical data like employee-manager relationships. Top 20 SQL Interview Questions Like this post if you want me to continue this SQL Interview Series♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

110 320

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110 320

Which of the following join is not available in SQL?

Anonymous voting

110 320

SQL Interview Questions with detailed answers: 6️⃣ How do you find the second highest salary from an Employee table? There are multiple ways to find the second highest salary in SQL. Here are three common approaches: 1️⃣ Using LIMIT and OFFSET (MySQL, PostgreSQL, etc.)

SELECT DISTINCT salary FROM employees ORDER BY salary DESC LIMIT 1 OFFSET 1;

Explanation: ORDER BY salary DESC sorts salaries in descending order. LIMIT 1 OFFSET 1 skips the highest salary (OFFSET 1) and retrieves the next highest. 2️⃣ Using RANK() (Works in SQL Server, PostgreSQL, MySQL 8+)

SELECT salary FROM ( SELECT salary, RANK() OVER (ORDER BY salary DESC) AS rnk FROM employees ) ranked_salaries WHERE rnk = 2;

Explanation: The inner query assigns a RANK() to each salary. The outer query filters for rnk = 2 to get the second highest salary. 3️⃣ Using MAX() and NOT IN (Works in all SQL versions)

SELECT MAX(salary) FROM employees WHERE salary NOT IN (SELECT MAX(salary) FROM employees);

Explanation: The subquery finds the highest salary. The main query finds the maximum salary excluding the highest one. Each approach depends on the database system you are using. Top 20 SQL Interview Questions Like this post if you want me to continue this SQL Interview Series♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

110 320

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