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

Сітка:Data Analytics Індія2 340 Технології та додатки1 122...

📈 Аналітичний огляд Telegram-каналу Data Analytics

Канал Data Analytics (@sqlspecialist) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 109 681 підписників, посідаючи 1 122 місце в категорії Технології та додатки та 2 340 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 109 681 підписників.

За останніми даними від 24 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 584, а за останні 24 години на 71, загальне охоплення залишається високим.

Статус верифікації: Не верифікований
Рівень залученості (ER): Середній показник залученості аудиторії становить 2.76%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.68% реакцій від загальної кількості підписників.
Охоплення публікацій: В середньому кожен допис отримує 3 024 переглядів. Протягом першої доби публікація в середньому набирає 743 переглядів.
Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 8.
Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як row, sql, analytic, analyst, visualization.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data”

Завдяки високій частоті оновлень (останні дані отримано 25 червня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.

109 681

Підписники

+7124 години

+267 днів

+58430 день

3 024

Перегляди допису

~ 74324 години

~ 1 04548 годин

2.76%

Коефіцієнт залучення

~ 2

Дописів на день

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beta

Архів дописів

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109 714

Which of the following window function is used to return the rank of each record in the current result set without skipping values if the preceding results are identical?

Anonymous voting

109 714

SQL Interview Questions with detailed answers: 1️⃣1️⃣ How does a self-join work? Give an example. A self-join is when a table joins with itself. It is useful for comparing rows within the same table, such as finding employees and their managers. Example: Find Employee-Manager Relationships

SELECT e1.employee_id AS Employee, e1.name AS Employee_Name, e2.employee_id AS Manager, e2.name AS Manager_Name FROM employees e1 JOIN employees e2 ON e1.manager_id = e2.employee_id;

Explanation: e1 represents employees. e2 represents managers. The join condition e1.manager_id = e2.employee_id matches employees to their managers. 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 :)

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SELECT e1.employee_id AS Employee, e1.name AS Employee_Name, e2.employee_id AS Manager, e2.name AS Manager_Name FROM employees e1 JOIN employees e2 ON e1.manager_id = e2.employee_id;

Explanation: e1 represents employees. e2 represents managers. The join condition e1.manager_id = e2.employee_id matches employees to their managers. 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 :)

109 714

𝗢𝗿𝗮𝗰𝗹𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | 𝗦𝗤𝗟 😍 SQL is a must-have skill for Data Science, Analytics, and Data Engineering roles! Mastering SQL can boost your resume, help you land high-paying roles, and make you stand out in Data Science & Analytics! 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4bjJaFv Enroll Now & Get Certfied 🎓

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Changed the channel name from "Data Analysts" to "Data Analytics" as moving further I've decided to also teach Data Science, AI, and the latest industry trends to help you stay ahead! If you support this change, drop a like ❤️

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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! 👍❤️

109 714

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

Anonymous voting

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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 :)

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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 :)

109 714

Is SQL a case-sensitive language?

Anonymous voting

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Which of the following is not a programming language?

Anonymous voting

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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 :)

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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

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109 714

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

Anonymous voting

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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 :)

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