Data Science

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Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases

📈 Analytical overview of Telegram channel Data Science

Channel Data Science (@sql_databases) in the English language segment is an active participant. Currently, the community unites 71 067 subscribers, ranking 2 281 in the Education category and 4 735 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 71 067 subscribers.

According to the latest data from 06 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -16 over the last 30 days and by 26 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 11.78%. Within the first 24 hours after publication, content typically collects 2.97% reactions from the total number of subscribers.
Post reach: On average, each post receives 8 369 views. Within the first day, a publication typically gains 2 110 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
Thematic interests: Content is focused on key topics such as database, learning, linkedin, udemy, 029k|.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases”

Thanks to the high frequency of updates (latest data received on 08 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 Education category.

71 067

Subscribers

+2624 hours

+477 days

-1630 days

8 369

Post views

~ 2 11024 hours

~ 2 96548 hours

11.78%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

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🌟 Are you exploring Data Roles, because this post will help you in identifying a unique focus to each Data Role. Whether you're into Data Engineering's backbone building or Data Science's advanced modeling, there's a place for everyone in the data world. ✨

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11 - Extra PostGreSQL with Python

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10 - Conditional Expressions and Procedures

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09 - Assessment Test 3

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08 - Creating Databases and Tables

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07 - Assessment Test 2

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06 - Advanced SQL Commands

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05 - JOINS

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04 - Assessment Test 1

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03 - GROUP BY Statements

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02 - SQL Statement Fundamentals

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01 - Course Introduction

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📖 The Complete SQL Bootcamp: Go from Zero to Hero 🌟 4.7 - 223280 votes 💰 Original Price: $74.99

📖 You'll learn how to read and write complex queries to a database using one of the most in demand skills - PostgreSQL. These skills are also applicable to any other major SQL database, such as MySQL, Microsoft SQL Server, Amazon Redshift, Oracle, and much more. Learning SQL is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! In this course you'll learn quickly and receive challenges and tests along the way to improve your understanding!

🔊 Taught By: Jose Portilla, Pierian Training 📤 Download Full Course 📤 Download All Courses

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📖 Most important SQL commands

These key SQL commands are the basics you need to handle and organize data like a pro.

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📖 30 days roadmap to learn Python for Data Analysis 😄👇 Days 1-5: Introduction to Python 1. Day 1: Install Python and a code editor (e.g., Anaconda, Jupyter Notebook). 2. Day 2-5: Learn Python basics (variables, data types, and basic operations). Days 6-10: Control Flow and Functions 6. Day 6-8: Study control flow (if statements, loops). 9. Day 9-10: Learn about functions and modules in Python. Days 11-15: Data Structures 11. Day 11-12: Explore lists, tuples, and dictionaries. 13. Day 13-15: Study sets and string manipulation. Days 16-20: Libraries for Data Analysis 16. Day 16-17: Get familiar with NumPy for numerical operations. 18. Day 18-19: Dive into Pandas for data manipulation. 20. Day 20: Basic data visualization with Matplotlib. Days 21-25: Data Cleaning and Analysis 21. Day 21-22: Data cleaning and preprocessing using Pandas. 23. Day 23-25: Exploratory data analysis (EDA) techniques. Days 26-30: Advanced Topics 26. Day 26-27: Introduction to data visualization with Seaborn. 27. Day 28-29: Introduction to machine learning with Scikit-Learn. 30. Day 30: Create a small data analysis project. Use platforms like Kaggle to find datasets for projects & GeekforGeeks to practice coding problems. ENJOY LEARNING 👍👍

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📖 Types of Data Structures

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📱Data Analysis and Databases 📱Excel: Introduction to Formulas and Functions

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🔅 Excel: Introduction to Formulas and Functions 🌐 Author: Curt Frye 🔰 Level: Intermediate ⏰ Duration: 1h 54m

🌀 Get a beginner-level introduction to Excel formulas and functions. Learn how to summarize and analyze data using these powerful data analysis features.

📗 Topics: Excel Formulas, Microsoft Excel 📤 Join Data Analysis and Databases for more courses

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🔢 PostgresSQL CRUD tutorial

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🖥 Data Storytelling