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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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๐Ÿ“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.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, 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|.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œLearn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databasesโ€

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
๐Ÿ“– Data Engineering Roadmap 2025 ๐Ÿญ. ๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐—ฆ๐—ค๐—Ÿ (๐—”๐—ช๐—ฆ ๐—ฅ๐——๐—ฆ, ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ ๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐—ฆ๐—ค๐—Ÿ, ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐—ฆ๐—ค๐—Ÿ) ๐Ÿ’ก
๐Ÿ“– Data Engineering Roadmap 2025 ๐Ÿญ. ๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐—ฆ๐—ค๐—Ÿ (๐—”๐—ช๐—ฆ ๐—ฅ๐——๐—ฆ, ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ ๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐—ฆ๐—ค๐—Ÿ, ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐—ฆ๐—ค๐—Ÿ) ๐Ÿ’ก Why? Cloud-managed databases are the backbone of modern data platforms. โœ… Serverless, scalable, and cost-efficient โœ… Automated backups & high availability โœ… Works seamlessly with cloud data pipelines ๐Ÿฎ. ๐—ฑ๐—ฏ๐˜ (๐——๐—ฎ๐˜๐—ฎ ๐—•๐˜‚๐—ถ๐—น๐—ฑ ๐—ง๐—ผ๐—ผ๐—น) โ€“ ๐—ง๐—ต๐—ฒ ๐—™๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ ๐—ผ๐—ณ ๐—˜๐—Ÿ๐—ง ๐Ÿ’ก Why? Transform data inside your warehouse (Snowflake, BigQuery, Redshift). โœ… SQL-based transformation โ€“ easy to learn โœ… Version control & modular data modeling โœ… Automates testing & documentation ๐Ÿฏ. ๐—”๐—ฝ๐—ฎ๐—ฐ๐—ต๐—ฒ ๐—”๐—ถ๐—ฟ๐—ณ๐—น๐—ผ๐˜„ โ€“ ๐—ช๐—ผ๐—ฟ๐—ธ๐—ณ๐—น๐—ผ๐˜„ ๐—ข๐—ฟ๐—ฐ๐—ต๐—ฒ๐˜€๐˜๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐Ÿ’ก Why? Automate and schedule complex ETL/ELT workflows. โœ… DAG-based orchestration for dependency management โœ… Integrates with cloud services (AWS, GCP, Azure) โœ… Highly scalable & supports parallel execution ๐Ÿฐ. ๐——๐—ฒ๐—น๐˜๐—ฎ ๐—Ÿ๐—ฎ๐—ธ๐—ฒ โ€“ ๐—ง๐—ต๐—ฒ ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ ๐—ผ๐—ณ ๐—”๐—–๐—œ๐—— ๐—ถ๐—ป ๐——๐—ฎ๐˜๐—ฎ ๐—Ÿ๐—ฎ๐—ธ๐—ฒ๐˜€ ๐Ÿ’ก Why? Solves data consistency & reliability issues in Apache Spark & Databricks. โœ… Supports ACID transactions in data lakes โœ… Schema evolution & time travel โœ… Enables incremental data processing ๐Ÿฑ. ๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐——๐—ฎ๐˜๐—ฎ ๐—ช๐—ฎ๐—ฟ๐—ฒ๐—ต๐—ผ๐˜‚๐˜€๐—ฒ๐˜€ (๐—ฆ๐—ป๐—ผ๐˜„๐—ณ๐—น๐—ฎ๐—ธ๐—ฒ, ๐—•๐—ถ๐—ด๐—ค๐˜‚๐—ฒ๐—ฟ๐˜†, ๐—ฅ๐—ฒ๐—ฑ๐˜€๐—ต๐—ถ๐—ณ๐˜) ๐Ÿ’ก Why? Centralized, scalable, and powerful for analytics. โœ… Handles petabytes of data efficiently โœ… Pay-per-use pricing & serverless architecture ๐Ÿฒ. ๐—”๐—ฝ๐—ฎ๐—ฐ๐—ต๐—ฒ ๐—ž๐—ฎ๐—ณ๐—ธ๐—ฎ โ€“ ๐—ฅ๐—ฒ๐—ฎ๐—น-๐—ง๐—ถ๐—บ๐—ฒ ๐—ฆ๐˜๐—ฟ๐—ฒ๐—ฎ๐—บ๐—ถ๐—ป๐—ด ๐Ÿ’ก Why? For real-time event-driven architectures. โœ… High-throughput ๐Ÿณ. ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป & ๐—ฆ๐—ค๐—Ÿ โ€“ ๐—ง๐—ต๐—ฒ ๐—–๐—ผ๐—ฟ๐—ฒ ๐—ผ๐—ณ ๐——๐—ฎ๐˜๐—ฎ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐Ÿ’ก Why? Every data engineer must master these! โœ… SQL for querying, transformations & performance tuning โœ… Python for automation, data processing, and API integrations ๐Ÿด. ๐——๐—ฎ๐˜๐—ฎ๐—ฏ๐—ฟ๐—ถ๐—ฐ๐—ธ๐˜€ โ€“ ๐—จ๐—ป๐—ถ๐—ณ๐—ถ๐—ฒ๐—ฑ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ & ๐—”๐—œ ๐Ÿ’ก Why? The go-to platform for big data processing & machine learning on the cloud. โœ… Built on Apache Spark for fast distributed computing

๐Ÿ“– Data Analyst vs. Data Engineer vs. Data Scientist
๐Ÿ“– Data Analyst vs. Data Engineer vs. Data Scientist

๐Ÿ“– SQL Data Types
๐Ÿ“– SQL Data Types

๐Ÿ“– SQL Interview Questions asked In FAANG๐Ÿ’ฏ
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๐Ÿ“– SQL Interview Questions asked In FAANG๐Ÿ’ฏ

๐Ÿ“– SQL Interview Questions asked In FAANG๐Ÿ’ฏ
+1
๐Ÿ“– SQL Interview Questions asked In FAANG๐Ÿ’ฏ

๐Ÿ“– SQL Interview Questions asked In FAANG๐Ÿ’ฏ
+3
๐Ÿ“– SQL Interview Questions asked In FAANG๐Ÿ’ฏ

๐Ÿ”… PREMIUM CHANNELS -โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ- ๐Ÿ”ฐ The Coding Space -โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ-- 218k| ๐Ÿ”ฐ Linkedin Learning Courses 131k| ๐Ÿ”ฐ Premium Udemy Courses 129k| ๐Ÿ”ฐ Web Development -โ—ฆ-โ—ฆ--โ—ฆ- 109k| ๐Ÿ”ฐ Learn Python 097k| ๐Ÿ”ฐ JavaScript Courses 080k| ๐Ÿ”ฐ Machine Learning -โ—ฆ-โ—ฆ--โ—ฆ- 064k| ๐Ÿ”ฐ DevOps Tutorials 061k| ๐Ÿ”ฐ Learn React and NextJs 060k| ๐Ÿ”ฐ Data Analysis and Databases -โ—ฆ-โ—ฆ--โ—ฆ- 053k| ๐Ÿ”ฐ Linux and DevOps 045k| ๐Ÿ”ฐ 100 Days of Python 044k| ๐Ÿ”ฐ Best Telegram Channels -โ—ฆ-โ—ฆ--โ—ฆ- 042k| ๐Ÿ”ฐ ChatGPT Mastery 042k| ๐Ÿ”ฐ Business Training 037k| ๐Ÿ”ฐ Mobile Development -โ—ฆ-โ—ฆ--โ—ฆ- 037k| ๐Ÿ”ฐ Zero to Mastery 036k| ๐Ÿ”ฐ Udemy Learning 033k| ๐Ÿ”ฐ Codedamn Courses -โ—ฆ-โ—ฆ--โ—ฆ- 033k| ๐Ÿ”ฐ Linkedin Learning 032k| ๐Ÿ”ฐ React 101 030k| ๐Ÿ”ฐ Crypto Lessons -โ—ฆ-โ—ฆ--โ—ฆ- 028k| ๐Ÿ”ฐ Coding Interview 023k| ๐Ÿ”ฐ Telegram's Shorts -โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ-- ๐Ÿ”ฐ Add Your Channel -โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ- ๐Ÿ”ฐ 2hrs on top & 8hrs in channel!

๐Ÿ“– Data Science Roles Explained
๐Ÿ“– Data Science Roles Explained

๐Ÿ“– SQL For Everything
๐Ÿ“– SQL For Everything

๐Ÿ“– Data Science Roadmap
๐Ÿ“– Data Science Roadmap

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.

๐Ÿ“– Top Tools To Learn Data Engineering
๐Ÿ“– Top Tools To Learn Data Engineering

๐Ÿ”… PREMIUM CHANNELS -โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ- ๐Ÿ”ฐ The Coding Space -โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ-- 218k| ๐Ÿ”ฐ Linkedin Learning Courses 130k| ๐Ÿ”ฐ Premium Udemy Courses 128k| ๐Ÿ”ฐ Web Development -โ—ฆ-โ—ฆ--โ—ฆ- 109k| ๐Ÿ”ฐ Learn Python 096k| ๐Ÿ”ฐ JavaScript Courses 079k| ๐Ÿ”ฐ Machine Learning -โ—ฆ-โ—ฆ--โ—ฆ- 064k| ๐Ÿ”ฐ DevOps Tutorials 061k| ๐Ÿ”ฐ Learn React and NextJs 060k| ๐Ÿ”ฐ Data Analysis and Databases -โ—ฆ-โ—ฆ--โ—ฆ- 052k| ๐Ÿ”ฐ Linux and DevOps 045k| ๐Ÿ”ฐ 100 Days of Python 044k| ๐Ÿ”ฐ Best Telegram Channels -โ—ฆ-โ—ฆ--โ—ฆ- 042k| ๐Ÿ”ฐ Business Training 042k| ๐Ÿ”ฐ ChatGPT Mastery 037k| ๐Ÿ”ฐ Mobile Development -โ—ฆ-โ—ฆ--โ—ฆ- 036k| ๐Ÿ”ฐ Zero to Mastery 035k| ๐Ÿ”ฐ Udemy Learning 033k| ๐Ÿ”ฐ Codedamn Courses -โ—ฆ-โ—ฆ--โ—ฆ- 032k| ๐Ÿ”ฐ Linkedin Learning 032k| ๐Ÿ”ฐ React 101 030k| ๐Ÿ”ฐ Crypto Lessons -โ—ฆ-โ—ฆ--โ—ฆ- 027k| ๐Ÿ”ฐ Coding Interview 023k| ๐Ÿ”ฐ Telegram's Shorts -โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ-- ๐Ÿ”ฐ Add Your Channel -โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ- ๐Ÿ”ฐ 2hrs on top & 8hrs in channel!

๐Ÿ“– Power BI vs Tableau
๐Ÿ“– Power BI vs Tableau

๐Ÿ”… PREMIUM CHANNELS -โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ- ๐Ÿ”ฐ The Coding Space -โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ-- 217k| ๐Ÿ”ฐ Linkedin Learning Courses 129k| ๐Ÿ”ฐ Premium Udemy Courses 128k| ๐Ÿ”ฐ Web Development -โ—ฆ-โ—ฆ--โ—ฆ- 108k| ๐Ÿ”ฐ Learn Python 096k| ๐Ÿ”ฐ JavaScript Courses 078k| ๐Ÿ”ฐ Machine Learning -โ—ฆ-โ—ฆ--โ—ฆ- 064k| ๐Ÿ”ฐ DevOps Tutorials 060k| ๐Ÿ”ฐ Learn React and NextJs 059k| ๐Ÿ”ฐ Data Analysis and Databases -โ—ฆ-โ—ฆ--โ—ฆ- 052k| ๐Ÿ”ฐ Linux and DevOps 045k| ๐Ÿ”ฐ 100 Days of Python 043k| ๐Ÿ”ฐ Best Telegram Channels -โ—ฆ-โ—ฆ--โ—ฆ- 041k| ๐Ÿ”ฐ Business Training 041k| ๐Ÿ”ฐ ChatGPT Mastery 036k| ๐Ÿ”ฐ Mobile Development -โ—ฆ-โ—ฆ--โ—ฆ- 036k| ๐Ÿ”ฐ Zero to Mastery 035k| ๐Ÿ”ฐ Udemy Learning 033k| ๐Ÿ”ฐ Codedamn Courses -โ—ฆ-โ—ฆ--โ—ฆ- 032k| ๐Ÿ”ฐ Linkedin Learning 031k| ๐Ÿ”ฐ React 101 030k| ๐Ÿ”ฐ Crypto Lessons -โ—ฆ-โ—ฆ--โ—ฆ- 027k| ๐Ÿ”ฐ Coding Interview 023k| ๐Ÿ”ฐ Telegram's Shorts -โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ-- ๐Ÿ”ฐ Add Your Channel -โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ--โ—ฆ-โ—ฆ--โ—ฆ- ๐Ÿ”ฐ 2hrs on top & 8hrs in channel!

๐Ÿฅ‡ 40+ Real and Free Data Science Projects ๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป Real learning means implementing ideas and building prototypes. It's time
๐Ÿฅ‡ 40+ Real and Free Data Science Projects ๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป Real learning means implementing ideas and building prototypes. It's time to skip the repetitive training and get straight to real data science projects! ๐Ÿ”† With the DataSimple.education website, you can access 40+ data science projects with Python completely free ! From data analysis and machine learning to deep learning and AI. โœ๏ธ There are no beginner projects here; you work with real datasets. Each project is well thought out and guides you step by step. For example, you can build a stock forecasting model, analyze customer behavior, or even study the impact of major global events on your data. โ”Œ๐Ÿณ๏ธโ€๐ŸŒˆ 40+ Python Data Science Projects โ”” ๐ŸŒŽ Website

๐Ÿ“– Type of Databases
๐Ÿ“– Type of Databases

๐Ÿ“ฆ Exercise Files

๐Ÿ“ฑData Analysis ๐Ÿ“ฑPython Data Analysis for Healthcare

๐Ÿ“‚ Full description The healthcare industry is one of the most diverse sources of data, from clinical to administrative to sales and supply chain, and even regulatory data. This course with data scientist and pharmacist Wuraola Oyewusi teaches you how to use Python for a wide range of data analysis scenarios in healthcare. Wuraola covers practical use cases like statistical data analysis, data manipulation, wrangling, and visualization using Python programming for different scenarios in the healthcare industry.