en
Feedback
Data Science

Data Science

Open in Telegram

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

Show more

πŸ“ˆ 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 70 778 subscribers, ranking 2 259 in the Education category and 4 564 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 70 778 subscribers.

According to the latest data from 27 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -317 over the last 30 days and by -15 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 11.42%. Within the first 24 hours after publication, content typically collects 2.47% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 8 084 views. Within the first day, a publication typically gains 1 749 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|.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn 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 28 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.

70 778
Subscribers
-1524 hours
-1477 days
-31730 days
Posts Archive
πŸ“– Most important SQL commands These key SQL commands are the basics you need to handle and organize data like a pro.
πŸ“– Most important SQL commands
These key SQL commands are the basics you need to handle and organize data like a pro.

πŸ“– 30 days roadmap to learn Python for Data Analysis πŸ˜„πŸ‘‡ 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 πŸ‘πŸ‘

πŸ“– Types of Data Structures
+8
πŸ“– Types of Data Structures

πŸ“±Data Analysis and Databases πŸ“±Excel: Introduction to Formulas and Functions

πŸ”… Excel: Introduction to Formulas and Functions 🌐 Author: Curt Frye πŸ”° Level: Intermediate ⏰ Duration: 1h 54m πŸŒ€ Get a begi
πŸ”… Excel: Introduction to Formulas and Functions 🌐 Author: Curt Frye πŸ”° Level: Intermediate ⏰ Duration: 1h 54m
πŸŒ€ Get a beginner-level introduction to Excel formulas and functions. Learn how to summarize and analyze data using these powerful data analysis features.
πŸ“— Topics: Excel Formulas, Microsoft Excel πŸ“€ Join Data Analysis and Databases for more courses

πŸ”’ PostgresSQL CRUD tutorial
+7
πŸ”’ PostgresSQL CRUD tutorial

πŸ–₯ Data Storytelling
πŸ–₯ Data Storytelling

πŸ–₯ Keys in SQL
+6
πŸ–₯ Keys in SQL

πŸ–₯ SQL Mindmap
πŸ–₯ SQL Mindmap

πŸ–₯ Roadmap to become Data Analyst
πŸ–₯ Roadmap to become Data Analyst

code

The Excel Bootcamp Zero to Mastery - Part 16

The Excel Bootcamp Zero to Mastery - Part 15

The Excel Bootcamp Zero to Mastery - Part 14

The Excel Bootcamp Zero to Mastery - Part 13

The Excel Bootcamp Zero to Mastery - Part 12

The Excel Bootcamp Zero to Mastery - Part 11

The Excel Bootcamp Zero to Mastery - Part 10

The Excel Bootcamp Zero to Mastery - Part 09

The Excel Bootcamp Zero to Mastery - Part 08