Data Science
Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases
Show more📈 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 70 805 subscribers, ranking 2 274 in the Education category and 4 582 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 70 805 subscribers.
According to the latest data from 25 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -309 over the last 30 days and by -33 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 12.05%. Within the first 24 hours after publication, content typically collects 2.78% reactions from the total number of subscribers.
- Post reach: On average, each post receives 8 533 views. Within the first day, a publication typically gains 1 972 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 26 August, 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.
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| 08 August | +6 | |||
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| 05 August | +11 | |||
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| 02 August | +10 | |||
| 01 August | 0 |
| 2 | 📱Data Science
📱Data Literacy: Exploring and Describing Data | 2 725 |
| 3 | 🔅 Data Literacy: Exploring and Describing Data
📝 Learn the fundamentals of data fluency and how data can help you make better decisions.
🌐 Author: Barton Poulson
🔰 Level: Beginner
⏰ Duration: 5h 14m
📋 Topics: Data Science
🔗 Join Data Science for more courses | 2 701 |
| 4 | ⏹️ SQL vs. NoSQL Explained (in 4 Minutes)
📱 SQL DATABASES | 4 801 |
| 5 | The SQL Circle | 6 507 |
| 6 | SQL Joins | 7 072 |
| 7 | 📱Data Science
📱Advanced Spatial Data Visualization in Python | 8 175 |
| 8 | 🔅 Advanced Spatial Data Visualization in Python
📝 Discover advanced techniques in spatial data visualization with Python. Learn how to create interactive, 3D, and temporal map visualizations to tell more engaging spatial stories.
🌐 Author: Milan Janosov, Ph.D.
🔰 Level: Advanced
⏰ Duration: 1h 39m
📋 Topics: Data Visualization, Spatial Analysis, Spatial Modeling
🔗 Join Data Science for more courses | 7 754 |
| 9 | SQL vs. Pandas | 8 336 |
| 10 | Data Science Jobs Checklist | 8 295 |
| 11 | 💡 The Basics of Database Sharding and Partitioning in System Design
📱 SQL Databases | 9 399 |
| 12 | 📱Data Science
📱Build with AI: SQL Agents with Large Language Models | 10 718 |
| 13 | 🔅 Build with AI: SQL Agents with Large Language Models
📝 Learn how to build an AI SQL agent from scratch using Python and different LLM frameworks.
🌐 Author: Rami Krispin
🔰 Level: Beginner
⏰ Duration: 1h 6m
📋 Topics: Large Language Models, SQL, Artificial Intelligence
🔗 Join Data Science for more courses | 9 850 |
| 14 | Array Data Structure Explained
Arrays are one of the most fundamental data structures in programming.
In this short video, you’ll learn how arrays store elements in contiguous memory, how indexing works, and why arrays are fast and efficient for data access.
🔹 What is an Array?
🔹 Indexing & Memory Representation
🔹 Real-world visualization
🔹 Arrays vs Python Lists
Perfect for beginners, CS students, and interview prep 🚀
Understand the concept clearly with a colorful, professional visual explanation. | 8 519 |
| 15 | 🗓️ Your Pandas Cheat Sheet Is Here!
If you’re learning Data Science or working with data daily, this one’s a lifesaver.
I’ve put together the most essential Pandas commands you’ll use for:
✔️ Cleaning data
✔️ Filtering rows
✔️ Merging tables
✔️ Aggregations
✔️ Window functions
...and much more. | 8 919 |
| 16 | 📕 SQL basics cheatsheet | 10 185 |
| 17 | 📱Data Science
📱Data Science Foundations: Fundamentals | 10 567 |
| 18 | 📱Data Science
📱Data Science Foundations: Fundamentals | 10 300 |
| 19 | 📱Data Science
📱Data Science Foundations: Fundamentals | 10 255 |
| 20 | 📱Data Science
📱Data Science Foundations: Fundamentals | 10 395 |
