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Data Science

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

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India4 764Education2 273

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 71 042 subscribers, ranking 2 273 in the Education category and 4 764 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 71 042 subscribers.

According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -54 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 12.21%. 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 8 672 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|.

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 07 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.

71 042
Subscribers
+624 hours
+237 days
-5430 days
Posts Archive
Data Science
Data Science
71 042
πŸ“– .SQL Joins Explained
πŸ“– .SQL Joins Explained

Data Science
Data Science
71 042
πŸ”… PREMIUM CHANNELS -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦- πŸ”° Web Development -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦-- 220k| πŸ”° Linkedin Learning 136k| πŸ”° Udemy Premium 132k| πŸ”° Web Development -β—¦-β—¦--β—¦- 115k| πŸ”° Python 3 099k| πŸ”° JavaScript Training 086k| πŸ”° Machine Learning -β—¦-β—¦--β—¦- 066k| πŸ”° Artificial Intelligence 065k| πŸ”° Data Analysis and Databases 063k| πŸ”° React and NextJs -β—¦-β—¦--β—¦- 058k| πŸ”° Linux and DevOps 048k| πŸ”° 100 Days of Python 046k| πŸ”° OpenAI Mastery -β—¦-β—¦--β—¦- 044k| πŸ”° Business and Finance 044k| πŸ”° Best Telegram Channels 039k| πŸ”° Zero to Mastery -β—¦-β—¦--β—¦- 039k| πŸ”° Mobile Apps 039k| πŸ”° Udemy Learning 034k| πŸ”° Linkedin Learning Courses -β—¦-β—¦--β—¦- 034k| πŸ”° Codedamn Courses 033k| πŸ”° React 101 030k| πŸ”° Crypto Tutorials -β—¦-β—¦--β—¦- 029k| πŸ”° Coding Interview 025k| πŸ”° Telegram's Shorts 021k| πŸ”° Linux Training -β—¦-β—¦--β—¦- 020k| πŸ”° The Coding Space -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦-- πŸ”° Add Your Channel -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦- πŸ”° 2hrs on top & 8hrs in channel!

Data Science
Data Science
71 042
πŸ“– Learn all Data Structures in one easy table!
πŸ“– Learn all Data Structures in one easy table!

Data Science
Data Science
71 042
πŸ“Š Infographic Elements That Every Data Person Should Master πŸš€ After years of working with data, I can tell you one thing: οΏ½
πŸ“Š Infographic Elements That Every Data Person Should Master πŸš€ After years of working with data, I can tell you one thing: πŸ‘‰ The chart ou choose is as important as the data itself. Here’s your quick visual toolkit πŸ‘‡ πŸ”Ή Timelines * Sequential ⏩ great for processes * Scaled ⏳ best for real dates/events πŸ”Ή Circular Charts * Donut 🍩 & Pie πŸ₯§ for proportions * Radial 🌌 for progress or cycles * Venn 🎯 when you want to show overlaps πŸ”Ή Creative Comparisons * Bubble 🫧 & Area πŸ”΅ for impact by size * Dot Matrix πŸ”΄ for colorful distributions * Pictogram πŸ‘₯ when storytelling matters most πŸ”Ή Classic Must-Haves * Bar πŸ“Š & Histogram πŸ“ (clear, reliable) * Line πŸ“ˆ for trends * Area 🌊 & Stacked Area for the β€œbig picture” πŸ”Ή Advanced Tricks * Stacked Bar πŸ— when categories add up * Span πŸ“ for ranges * Arc 🌈 for relationships πŸ’‘ Pro tip from experience: If your audience doesn’t β€œget it” in 3 seconds, change the chart. The best visualizations speak louder than numbers

Data Science
Data Science
71 042
10. APPENDIX - Installing Oracle on Windows

Data Science
Data Science
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09. Exam Question Walkthrough Videos - Part 01

Data Science
Data Science
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+2
08. ADDITIONAL TOPICS - Part 01

Data Science
Data Science
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+4
07. Creating, Altering, and Updating Objects Using SQL - Part 01

Data Science
Data Science
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06. Analytical Functions using OVER and PARTITION with ORDER BY - Part 01

Data Science
Data Science
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⚠️ To be continued ⚠️

Data Science
Data Science
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05. Multi-Table Queries and Joins - Part 01

Data Science
Data Science
71 042
04. Grouping Functions

Data Science
Data Science
71 042
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03. Single Row Functions - Part 01

Data Science
Data Science
71 042
03. Single Row Functions - Part 01

Data Science
Data Science
71 042
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02. Single Table Queries - Part 01

Data Science
Data Science
71 042
01. Database Basics

Data Science
Data Science
71 042
πŸ“– The Complete Oracle SQL Certification Course 🌟 4.5 - 53482 votes πŸ’° Original Price: $109.99 πŸ“– Don't Just Learn the SQL L
πŸ“– The Complete Oracle SQL Certification Course 🌟 4.5 - 53482 votes πŸ’° Original Price: $109.99
πŸ“– Don't Just Learn the SQL Language, Become Job-Ready and Launch Your Career as a Certified Oracle SQL Developer!
πŸ”Š Taught By: Job Ready Programmer πŸ“€ Download All Courses

Data Science
Data Science
71 042
πŸ“– SQL interview questions for 2025
πŸ“– SQL interview questions for 2025

Data Science
Data Science
71 042
Ever wondered what the difference is between a Data Analyst and a Data Scientist? Both roles are in high demand, but they tac
Ever wondered what the difference is between a Data Analyst and a Data Scientist? Both roles are in high demand, but they tackle data in different ways.
Think of it like this: - Data Analyst: Makes sense of the past to understand the present. - Data Scientist: Uses the past to predict the future.

Data Science
Data Science
71 042
πŸ”… PREMIUM CHANNELS -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦- πŸ”° Web Development -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦-- 220k| πŸ”° Linkedin Learning 134k| πŸ”° Udemy Premium 132k| πŸ”° Web Development -β—¦-β—¦--β—¦- 113k| πŸ”° Python 3 098k| πŸ”° JavaScript Training 084k| πŸ”° Machine Learning -β—¦-β—¦--β—¦- 065k| πŸ”° Artificial Intelligence 064k| πŸ”° Data Analysis and Databases 063k| πŸ”° React and NextJs -β—¦-β—¦--β—¦- 057k| πŸ”° Linux and DevOps 047k| πŸ”° 100 Days of Python 045k| πŸ”° OpenAI Mastery -β—¦-β—¦--β—¦- 044k| πŸ”° Best Telegram Channels 044k| πŸ”° Business and Finance 039k| πŸ”° Zero to Mastery -β—¦-β—¦--β—¦- 038k| πŸ”° Mobile Apps 038k| πŸ”° Udemy Learning 034k| πŸ”° Codedamn Courses -β—¦-β—¦--β—¦- 034k| πŸ”° Linkedin Learning Courses 033k| πŸ”° React 101 030k| πŸ”° Crypto Tutorials -β—¦-β—¦--β—¦- 029k| πŸ”° Coding Interview 024k| πŸ”° Telegram's Shorts 020k| πŸ”° Linux Training -β—¦-β—¦--β—¦- 019k| πŸ”° The Coding Space -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦-- πŸ”° Add Your Channel -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦- πŸ”° 2hrs on top & 8hrs in channel!