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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 562Education2 261

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 70 803 subscribers, ranking 2 261 in the Education category and 4 562 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 70 803 subscribers.

According to the latest data from 26 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -310 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 11.21%. Within the first 24 hours after publication, content typically collects 2.74% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 7 934 views. Within the first day, a publication typically gains 1 943 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 27 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.

70 803
Subscribers
-1524 hours
-1277 days
-31030 days
Posts Archive
Data Science
Data Science
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πŸ“±Data Analysis πŸ“±MySQL for Data Analysis

Data Science
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πŸ“‚ Full description You dont need to wield high-level tools to start interacting with your data now. With a basic knowledge of MySQL, youre just about ready to go. In this course, instructor Ava Meredith shows you how to use the MySQL database to manipulate, aggregate, summarize, and analyze data more effectively.Find out how to get the most out of MySQL from a power user by learning how to retrieve data, join tables, and write subqueries and complex queries. Explore aggregate, numeric, string, and date and time functions, as well as other built-in functions to work with different data types. Get quick tips and expert tricks on best practices for navigating within the database, building up your skill set as a data analyst, and taking your productivity to the next level.

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πŸ”… MySQL for Data Analysis 🌐 Author: Ava Meredith πŸ”° Level: Beginner ⏰ Duration: 54m πŸŒ€ Learn quick tips and expert tricks o
πŸ”… MySQL for Data Analysis 🌐 Author: Ava Meredith πŸ”° Level: Beginner ⏰ Duration: 54m
πŸŒ€ Learn quick tips and expert tricks on using MySQL to manipulate, aggregate, summarize, and analyze data more effectively.
πŸ“— Topics: MySQL πŸ“€ Join Data Analysis for more courses

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πŸ’‘ Top Data Analytic Skills to Land a Job in 2025 Here are the most sought-after skills for data analytic roles: πŸ’« Technical
πŸ’‘ Top Data Analytic Skills to Land a Job in 2025 Here are the most sought-after skills for data analytic roles: πŸ’« Technical Skills: πŸ”Έ SQL: Mastering SQL is essential for querying and managing data stored in databases. πŸ”Έ Spreadsheets: Tools like MS Excel and GoogleSheets are must-haves for performing calculations, data manipulation, and basic visualizations. πŸ”Έ Programming Languages (Python, R, SAS): These are critical for advanced data analysis and visualization. Python and R are particularly popular due to their robust libraries and versatility. πŸ”Έ Data Visualization: Learn to create impact dashboards and charts. Start with PowerBI (free) before exploring advanced tools. πŸ”Έ Data Management: Develop proficiency in systems like MySQL PostgreSQL or SQLServer to securely and efficiently handle data. πŸ”Έ Machine Learning (Optional): Familiarize yourself with algorithms like Linear Regression, Logistic Regression, and KNN if you’re exploring data science pathways. πŸ’« Soft Skills: Communication, Collaboration, Critical Thinking, Creativity πŸ”Έ Write clear reports and presentations, collaborate effectively with teams, and explain technical insights in simple terms to stakeholders.

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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—¦- 059k| πŸ”° Linux and DevOps 048k| πŸ”° 100 Days of Python 046k| πŸ”° OpenAI Mastery -β—¦-β—¦--β—¦- 045k| 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 031k| πŸ”° Crypto Tutorials -β—¦-β—¦--β—¦- 030k| 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!

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πŸ“– SQL aggregate functions
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πŸ“– SQL aggregate functions

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πŸ“– Types of keys in SQL
πŸ“– Types of keys in SQL

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πŸ“– .SQL Joins Explained
πŸ“– .SQL Joins Explained

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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!

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

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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

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10. APPENDIX - Installing Oracle on Windows

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09. Exam Question Walkthrough Videos - Part 01

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08. ADDITIONAL TOPICS - Part 01

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07. Creating, Altering, and Updating Objects Using SQL - Part 01

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

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⚠️ To be continued ⚠️

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05. Multi-Table Queries and Joins - Part 01

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04. Grouping Functions

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03. Single Row Functions - Part 01