Data Analytics
Открыть в Telegram
Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data
Больше📈 Аналитический обзор Telegram-канала Data Analytics
Канал Data Analytics (@sqlspecialist) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 110 102 подписчиков, занимая 1 106 место в категории Технологии и приложения и 2 308 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 110 102 подписчиков.
Согласно последним данным от 12 июля, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 628, а за последние 24 часа — -26, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 3.31%. В первые 24 часа после публикации контент обычно набирает 1.67% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 3 649 просмотров. В течение первых суток публикация набирает 1 843 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 9.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как row, sql, analytic, analyst, visualization.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Perfect channel to learn Data Analytics
Learn SQL, Python, Alteryx, Tableau, Power BI and many more
For Promotions: @coderfun @love_data”
Благодаря высокой частоте обновлений (последние данные получены 13 июля, 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.
110 102
Подписчики
-2624 часа
+867 дней
+62830 день
Архив постов
110 102
Which of the following SQL join is used to combine each row of one table with each row of another table, and return the Cartesian product of the sets of rows from the tables that are joined?
110 102
Which of the following tool/library is not used for data visualization?
110 102
If you want to Excel as a Data Analyst and land a high-paying job, master these essential skills:
1️⃣ Data Extraction & Processing:
• SQL – SELECT, JOIN, GROUP BY, CTE, WINDOW FUNCTIONS
• Python/R for Data Analysis – Pandas, NumPy, Matplotlib, Seaborn
• Excel – Pivot Tables, VLOOKUP, XLOOKUP, Power Query
2️⃣ Data Cleaning & Transformation:
• Handling Missing Data – COALESCE(), IFNULL(), DROPNA()
• Data Normalization – Removing duplicates, standardizing formats
• ETL Process – Extract, Transform, Load
3️⃣ Exploratory Data Analysis (EDA):
• Descriptive Statistics – Mean, Median, Mode, Variance, Standard Deviation
• Data Visualization – Bar Charts, Line Charts, Heatmaps, Histograms
4️⃣ Business Intelligence & Reporting:
• Power BI & Tableau – Dashboards, DAX, Filters, Drill-through
• Google Data Studio – Interactive reports
5️⃣ Data-Driven Decision Making:
• A/B Testing – Hypothesis testing, P-values
• Forecasting & Trend Analysis – Time Series Analysis
• KPI & Metrics Analysis – ROI, Churn Rate, Customer Segmentation
6️⃣ Data Storytelling & Communication:
• Presentation Skills – Explain insights to non-technical stakeholders
• Dashboard Best Practices – Clean UI, relevant KPIs, interactive visuals
7️⃣ Bonus: Automation & AI Integration
• SQL Query Optimization – Improve query performance
• Python Scripting – Automate repetitive tasks
• ChatGPT & AI Tools – Enhance productivity
Like this post if you need a complete tutorial on all these topics! 👍❤️
#dataanalysts
110 102
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 💫
110 102
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?
110 102
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; 110 102
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; 110 102
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 🎓
110 102
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 ❤️
110 102
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! 👍❤️
110 102
Which of the following aggregate function is used to calculate mean in SQL?
110 102
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;SELECT department_id, employee_id, salary, SUM(salary) OVER (PARTITION BY department_id ORDER BY employee_id) AS running_total FROM employees;110 102
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🎓
110 102
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 :)
110 102
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; SELECT employee_id, department_id FROM employees UNION ALL SELECT employee_id, department_id FROM managers; 110 102
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 🎓
110 102
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
110 102
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 🎓
