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

Red:Data Analytics India2 340 Tecnologías y Aplicaciones1 122...

📈 Análisis del canal de Telegram Data Analytics

El canal Data Analytics (@sqlspecialist) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 109 681 suscriptores, ocupando la posición 1 122 en la categoría Tecnologías y Aplicaciones y el puesto 2 340 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 109 681 suscriptores.

Según los últimos datos del 24 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 584, y en las últimas 24 horas de 71, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.76%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.68% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 3 024 visualizaciones. En el primer día suele acumular 743 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 8.
Intereses temáticos: El contenido se centra en temas clave como row, sql, analytic, analyst, visualization.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 25 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

109 681

Suscriptores

+7124 horas

+267 días

+58430 días

3 024

Visitas de la publicación

~ 74324 horas

~ 1 04548 horas

2.76%

Tasa de compromiso

~ 2

Mensajes por día

Ads index

beta

Archivo de publicaciones

109 714

𝗧𝗼𝗽 𝗠𝗡𝗖𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀 & 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 😍 GE:- https://pdlink.in/3DmQsf4 United:- https://pdlink.in/3F6ZwVW Birlasoft :- https://pdlink.in/41B0umg KPMG:- https://pdlink.in/4ifHDCB Lightcast:- https://pdlink.in/4gXt3im Barlcays :- https://pdlink.in/4bpnvfm Apply before the link expires 💫

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 🎓

109 714

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

109 714

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 :)

109 714

𝟱 𝗕𝗲𝘀𝘁 𝗜𝗕𝗠 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 1)Python for Data Science 2)SQL & Relational Databases 3)Applied Data Science with Python 4)Machine Learning with Python 5)Data Analysis with Python 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/3QyJyqk Enroll For FREE & Get Certified🎓

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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

109 714

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 :)

109 714

𝟱 𝗙𝗿𝗲𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲😍 Want to gain real-world experience and make your resume stand out? These 100% free & remote virtual internships will help you develop in-demand skills from top global companies! 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4bajU4J Enroll Now & Get Certfied 🎓

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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

109 714

𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Master AI for FREE: 5 Must-Take Google Courses to Boost Your Career 🌟 Artificial Intelligence is transforming industries, and now’s your chance to dive into this exciting field with free, expert-led courses by Google. 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/428e55o Enroll Now & Get Certfied 🎓

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 :)

109 714

𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲😍 This FREE certification course will help you master data handling, visualization, and analysis—the key skills needed to land a high-paying job. 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4gUaYl1 Enroll Now & Get Certfied 🎓