Data Analytics

Open in Telegram

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 339 Technologies & Applications1 126...

📈 Analytical overview of Telegram channel Data Analytics

Channel Data Analytics (@sqlspecialist) in the English language segment is an active participant. Currently, the community unites 109 661 subscribers, ranking 1 126 in the Technologies & Applications category and 2 339 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 109 661 subscribers.

According to the latest data from 23 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 529 over the last 30 days and by 20 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.83%. Within the first 24 hours after publication, content typically collects 0.72% reactions from the total number of subscribers.
Post reach: On average, each post receives 3 097 views. Within the first day, a publication typically gains 784 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 24 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.

109 661

Subscribers

+2024 hours

-647 days

+52930 days

3 097

Post views

~ 78424 hours

~ 1 03248 hours

2.83%

Engagement rate

~ 2

Posts per day

Ads index

beta

Posts Archive

109 659

𝗜𝗻𝗳𝗼𝘀𝘆𝘀 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Infosys Springboard is offering a wide range of 100% free courses with certificates to help you upskill and boost your resume—at no cost. Whether you’re a student, graduate, or working professional, this platform has something valuable for everyone. 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/4jsHZXf Enroll For FREE & Get Certified 🎓

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Glad to see the amazing response Let me go through each topic one by one 🔰 Introduction to Databases & SQL What is a Database? A database is an organized collection of data that allows for easy access, management, and updating. Think of it like a digital filing system. Types of Databases: 1. Relational Databases – Store data in tables (like Excel). Examples: MySQL, PostgreSQL, SQL Server. 2. Non-Relational (NoSQL) – Store data as documents, key-value pairs, etc. Examples: MongoDB, Redis. What is SQL? Structured Query Language (SQL) is the standard language used to communicate with relational databases. It allows you to create, read, update, and delete data — often remembered by the acronym CRUD. Why Learn SQL? SQL is foundational for data analysis, data science, backend development, and database administration. It’s used across industries to manage and analyze large volumes of data. Real-World Example: Imagine you're a data analyst at a retail company. SQL helps you answer questions like: "How many orders were placed in the last 30 days?" "What’s the average purchase value by city?" React with ❤️ if you’re ready for the next one: 📄 SQL vs NoSQL! Share with credits: https://t.me/sqlspecialist Hope it helps :)

109 659

𝐅𝐑𝐄𝐄 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬 𝐎𝐧 𝐋𝐚𝐭𝐞𝐬𝐭 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬😍 - AI/ML - Data Analytics - Business Analytics - Data Science - Fullstack - UI/UX - DevOps 🚀 3 Steps to Build Future-Proof Your IT Career! 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰 👇:- https://pdlink.in/4j9x7Os (Limited Slots ..HurryUp🏃‍♂️ ) 𝐃𝐚𝐭𝐞 & 𝐓𝐢𝐦𝐞:-11th April 2025, at 7 PM Don't Miss This Opportunity 🤗

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🔰 SQL Roadmap for Beginners 2025 ├── 🗃 Introduction to Databases & SQL ├── 📄 SQL vs NoSQL (Just Basics) ├── 🧱 Database Concepts (Tables, Rows, Columns, Keys) ├── 🔍 Basic SQL Queries (SELECT, WHERE) ├── ✏️ Filtering & Sorting Data (ORDER BY, LIMIT) ├── 🔢 SQL Operators (IN, BETWEEN, LIKE, AND, OR) ├── 📊 Aggregate Functions (COUNT, SUM, AVG, MIN, MAX) ├── 👥 GROUP BY & HAVING Clauses ├── 🔗 SQL JOINS (INNER, LEFT, RIGHT, FULL, SELF) ├── 📦 Subqueries & Nested Queries ├── 🏷 Aliases & Case Statements ├── 🧾 Views & Indexes (Basics) ├── 🧠 Common Table Expressions (CTEs) ├── 🔄 Window Functions (ROW_NUMBER, RANK, PARTITION BY) ├── ⚙️ Data Manipulation (INSERT, UPDATE, DELETE) ├── 🧱 Data Definition (CREATE, ALTER, DROP) ├── 🔐 Constraints & Relationships (PK, FK, UNIQUE, CHECK) ├── 🧪 Real-world SQL Scenarios & Challenges Like for detailed explanation ❤️ #sql

109 659

𝗔𝗰𝗰𝗲𝗻𝘁𝘂𝗿𝗲 𝗚𝗲𝗻𝗔𝗜 𝗛𝗮𝗰𝗸𝗮𝘁𝗵𝗼𝗻 𝟮𝟬𝟮𝟱 😍 Hack the Future: Join the Data and AI Revolution In collaboration with Accenture and with GeeksforGeeks as the Community Partner, this event offers a unique opportunity to collaborate, learn, and innovate. Whether you're an AI engineer, business analyst, or someone passionate about building a career in Data and AI, 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/4ipKRDz With exciting cash prizes and networking opportunities, it's the perfect platform to join the Data and AI revolution. Don’t miss out—be part of shaping the future!

109 659

What does the following SQL query return? SELECT COUNT(DISTINCT department) FROM employees;

Anonymous voting

109 659

10 Data Analyst Interview Questions You Should Be Ready For (2025) ✅ Explain the difference between INNER JOIN and LEFT JOIN. ✅ What are window functions in SQL? Give an example. ✅ How do you handle missing or duplicate data in a dataset? ✅ Describe a situation where you derived insights that influenced a business decision. ✅ What’s the difference between correlation and causation? ✅ How would you optimize a slow SQL query? ✅ Explain the use of GROUP BY and HAVING in SQL. ✅ How do you choose the right chart for a dataset? ✅ What’s the difference between a dashboard and a report? ✅ Which libraries in Python do you use for data cleaning and analysis? Like for the detailed answers for above questions ❤️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

109 659

𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Skills you will gain:- - Introduction to GenAI - Chatgpt - Prompt design - AI for business solutions - Prompt Engineering - Python 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/41VIuSA Enroll Now & Get a course completion certificate🎓

109 659

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

Anonymous voting

109 659

7 Must-Have Tools for Data Analysts in 2025: ✅ SQL – Still the #1 skill for querying and managing structured data ✅ Excel / Google Sheets – Quick analysis, pivot tables, and essential calculations ✅ Python (Pandas, NumPy) – For deep data manipulation and automation ✅ Power BI – Transform data into interactive dashboards ✅ Tableau – Visualize data patterns and trends with ease ✅ Jupyter Notebook – Document, code, and visualize all in one place ✅ Looker Studio – A free and sleek way to create shareable reports with live data. Perfect blend of code, visuals, and storytelling. React with ❤️ for free tutorials on each tool Share with credits: https://t.me/sqlspecialist Hope it helps :)

109 659

𝗟𝗲𝗮𝗿𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 & 𝗘𝗹𝗲𝘃𝗮𝘁𝗲 𝗬𝗼𝘂𝗿 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗚𝗮𝗺𝗲!😍 Want to turn raw data into stunning visual stories?📊 Here are 6 FREE Power BI courses that’ll take you from beginner to pro—without spending a single rupee💰 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4cwsGL2 Enjoy Learning ✅️

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9 tips to learn Python for Data Analysis: 🐍 Start with the basics: variables, loops, functions 🧹 Master Pandas for data manipulation 🔢 Use NumPy for numerical operations 📊 Visualize data with Matplotlib and Seaborn 📂 Work with real datasets (CSV, Excel, APIs) 🧼 Clean and preprocess messy data 📈 Understand basic statistics and correlations ⚙️ Automate repetitive analysis tasks with scripts 💡 Build mini-projects to apply your skills Free Python Resources: https://t.me/pythonanalyst Like for more daily tips 👍 ♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

109 659

𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 𝗢𝗻 𝗗𝗲𝘃𝗼𝗽𝘀😍 Get Started with DevOps Without Having to Learn Complex Coding You don’t need to be a coder to break into DevOps. 𝗘𝗹𝗶𝗴𝗶𝗯𝗶𝗹𝗶𝘁𝘆 :- Students, Freshers & Working Professionals 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐅𝐨𝐫 𝐅𝐑𝐄𝐄 👇:- https://pdlink.in/4iZ9Pe3 (Limited Slots Available – Hurry Up!🏃‍♂️) 𝗗𝗮𝘁𝗲 & 𝗧𝗶𝗺𝗲:- April 9, 2025, at 7 PM

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Python CheatSheet 📚 ✅ 1. Basic Syntax - Print Statement: print("Hello, World!") - Comments: # This is a comment 2. Data Types - Integer: x = 10 - Float: y = 10.5 - String: name = "Alice" - List: fruits = ["apple", "banana", "cherry"] - Tuple: coordinates = (10, 20) - Dictionary: person = {"name": "Alice", "age": 25} 3. Control Structures - If Statement:

     if x > 10:
         print("x is greater than 10")

- For Loop:

     for fruit in fruits:
         print(fruit)

- While Loop:

     while x < 5:
         x += 1

4. Functions - Define Function:

     def greet(name):
         return f"Hello, {name}!"

- Lambda Function: add = lambda a, b: a + b 5. Exception Handling - Try-Except Block:

     try:
         result = 10 / 0
     except ZeroDivisionError:
         print("Cannot divide by zero.")

6. File I/O - Read File:

     with open('file.txt', 'r') as file:
         content = file.read()

- Write File:

     with open('file.txt', 'w') as file:
         file.write("Hello, World!")

7. List Comprehensions - Basic Example: squared = [x**2 for x in range(10)] - Conditional Comprehension: even_squares = [x**2 for x in range(10) if x % 2 == 0] 8. Modules and Packages - Import Module: import math - Import Specific Function: from math import sqrt 9. Common Libraries - NumPy: import numpy as np - Pandas: import pandas as pd - Matplotlib: import matplotlib.pyplot as plt 10. Object-Oriented Programming - Define Class:

      class Dog:
          def __init__(self, name):
              self.name = name
          def bark(self):
              return "Woof!"

11. Virtual Environments - Create Environment: python -m venv myenv - Activate Environment: - Windows: myenv\Scripts\activate - macOS/Linux: source myenv/bin/activate 12. Common Commands - Run Script: python script.py - Install Package: pip install package_name - List Installed Packages: pip list This Python checklist serves as a quick reference for essential syntax, functions, and best practices to enhance your coding efficiency! Checklist for Data Analyst: https://dataanalytics.beehiiv.com/p/data Here you can find essential Python Interview Resources👇 https://t.me/DataSimplifier Like for more resources like this 👍 ♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

109 659

𝟰 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 These free, Microsoft-backed courses are a game-changer! With these resources, you’ll gain the skills and confidence needed to shine in the data analytics world—all without spending a penny. 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/4jpmI0I Enroll For FREE & Get Certified🎓

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Must-Know Power BI Charts & When to Use Them 1. Bar/Column Chart Use for: Comparing values across categories Example: Sales by region, revenue by product 2. Line Chart Use for: Trends over time Example: Monthly website visits, stock price over years 3. Pie/Donut Chart Use for: Showing proportions of a whole Example: Market share by brand, budget distribution 4. Table/Matrix Use for: Detailed data display with multiple dimensions Example: Sales by product and month, performance by employee and region 5. Card/KPI Use for: Displaying single important metrics Example: Total Revenue, Current Month’s Profit 6. Area Chart Use for: Showing cumulative trends Example: Cumulative sales over time 7. Stacked Bar/Column Chart Use for: Comparing total and subcategories Example: Sales by region and product category 8. Clustered Bar/Column Chart Use for: Comparing multiple series side-by-side Example: Revenue and Profit by product 9. Waterfall Chart Use for: Visualizing increment/decrement over a value Example: Profit breakdown – revenue, costs, taxes 10. Scatter Chart Use for: Relationship between two numerical values Example: Marketing spend vs revenue, age vs income 11. Funnel Chart Use for: Showing steps in a process Example: Sales pipeline, user conversion funnel 12. Treemap Use for: Hierarchical data in a nested format Example: Sales by category and sub-category 13. Gauge Chart Use for: Progress toward a goal Example: % of sales target achieved Hope it helps :) #powerbi

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𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲 𝗣𝗿𝗲𝘃𝗶𝗲𝘄 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 - Data Analytics - Python - SQL - Excel - Data Science - AI 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/41VIuSA Enroll Now & Get a course completion certificate🎓

109 659

10 SQL Concepts Every Data Analyst Should Master 👇 ✅ SELECT, WHERE, ORDER BY – Core of querying your data ✅ JOINs (INNER, LEFT, RIGHT, FULL) – Combine data from multiple tables ✅ GROUP BY & HAVING – Aggregate and filter grouped data ✅ Subqueries – Nest queries inside queries for complex logic ✅ CTEs (Common Table Expressions) – Write cleaner, reusable SQL logic ✅ Window Functions – Perform advanced analytics like rankings & running totals ✅ Indexes – Boost your query performance ✅ Normalization – Structure your database efficiently ✅ UNION vs UNION ALL – Combine result sets with or without duplicates ✅ Stored Procedures & Functions – Reusable logic inside your DB React with ❤️ if you want me to cover each topic in detail

109 659

𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Learn AI for FREE with these incredible courses by Google! Whether you’re a beginner or looking to sharpen your skills, these resources will help you stay ahead in the tech game. 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/3FYbfGR Enroll For FREE & Get Certified🎓

109 659

Which of the following is not a recommend practice while writing SQL code?

Anonymous voting