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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
70 803
πŸ“±Data Analysis πŸ“±Distributed Databases with Apache Ignite

Data Science
Data Science
70 803
πŸ”… Distributed Databases with Apache Ignite πŸ“ Deep dive into learning about and creating distributed databases with Apache I
πŸ”… Distributed Databases with Apache Ignite πŸ“ Deep dive into learning about and creating distributed databases with Apache Ignite. 🌐 Author: Janani Ravi πŸ”° Level: Intermediate ⏰ Duration: 1h 55m πŸ“‹ Topics: Apache Ignite, Distributed Databases πŸ”— Join Data Analysis for more courses

Data Science
Data Science
70 803
πŸ“– Master the Art of Data Storytelling Data visualization isn’t just about making chartsβ€”it’s about telling a story that driv
πŸ“– Master the Art of Data Storytelling Data visualization isn’t just about making chartsβ€”it’s about telling a story that drives decisions. Here are 15 essential tips to create impactful, clear, and engaging visualizations that your audience will actually understand and remember: βœ… Ask the right questions to uncover meaningful insights βœ… Choose the right chart to match your story βœ… Keep it simpleβ€”remove distracting fonts and elements βœ… Use consistent colors and make labels clear and visible βœ… Design for comprehension, not confusion

Data Science
Data Science
70 803
Stop Cleaning Data Manually πŸ›‘ Most data scientists spend the majority of their time fighting with messy CSVs and inconsisten
Stop Cleaning Data Manually πŸ›‘ Most data scientists spend the majority of their time fighting with messy CSVs and inconsistent formats. But the pros don’t do it manually. They build pipelines. A data pipeline is your "set it and forget it" system for data preprocessing. By using tools like Pandas for manipulation, Scikit-learn for chaining steps, and Dask for scaling, you can slash your manual workload by up to 70%. Why you need this: Speed: Go from raw data to insights in seconds. Reliability: Eliminate human error in the cleaning process. Reproducibility: Run the same logic on new data without rewriting code. In a recent healthcare case study, automating this process helped a team predict patient readmission faster and more accurately than ever before. Which tool is a permanent part of your toolkit? 1. Pandas 🐼 2. Scikit-learn βš™οΈ 3. Dask ☁️

Data Science
Data Science
70 803
πŸ”° Explaining PostgreSQL
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πŸ”° Explaining PostgreSQL

Data Science
Data Science
70 803
πŸ”° Explaining PostgreSQL PostgreSQL is a powerful and versatile open-source relational database management system. It offers
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πŸ”° Explaining PostgreSQL PostgreSQL is a powerful and versatile open-source relational database management system. It offers advanced features, such as support for complex data types, robust concurrency control, and extensive query optimization. With its scalability, reliability, and flexibility, PostgreSQL is an excellent choice for managing and organizing your data efficiently.

Data Science
Data Science
70 803
πŸ“– Types of Databases
πŸ“– Types of Databases

Data Science
Data Science
70 803
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—¦-- 221k| πŸ”° Linkedin Learning 139k| πŸ”° Udemy Premium 134k| πŸ”° Web Development -β—¦-β—¦--β—¦- 118k| πŸ”° Python 3 100k| πŸ”° JavaScript Training 089k| πŸ”° Machine Learning -β—¦-β—¦--β—¦- 068k| πŸ”° Data Analysis and Databases 068k| πŸ”° Artificial Intelligence 064k| πŸ”° React and NextJs -β—¦-β—¦--β—¦- 062k| πŸ”° Linux and DevOps 049k| πŸ”° 100 Days of Python 048k| πŸ”° OpenAI Mastery -β—¦-β—¦--β—¦- 047k| πŸ”° Business and Finance 045k| πŸ”° Best Telegram Channels 041k| πŸ”° Udemy Learning -β—¦-β—¦--β—¦- 040k| πŸ”° Zero to Mastery 040k| πŸ”° Mobile Apps 036k| πŸ”° Linkedin Learning Courses -β—¦-β—¦--β—¦- 035k| πŸ”° Codedamn Courses 034k| πŸ”° React 101 031k| πŸ”° Crypto Tutorials -β—¦-β—¦--β—¦- 030k| πŸ”° Coding Interview 025k| πŸ”° Telegram's Shorts 022k| πŸ”° Linux Training -β—¦-β—¦--β—¦- 022k| 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
70 803
πŸ“±Data Analysis πŸ“±SQL Practice: Basic Queries

Data Science
Data Science
70 803
πŸ”… SQL Practice: Basic Queries πŸ“ Practice writing basic queries in SQL in this hands-on, interactive course with coding chal
πŸ”… SQL Practice: Basic Queries πŸ“ Practice writing basic queries in SQL in this hands-on, interactive course with coding challenges in CoderPad. 🌐 Author: David Gassner πŸ”° Level: Beginner ⏰ Duration: 17m πŸ“‹ Topics: SQL πŸ”— Join Data Analysis for more courses

Data Science
Data Science
70 803
πŸ“– Roles and Responsibilities in Big Data Technology
πŸ“– Roles and Responsibilities in Big Data Technology

Data Science
Data Science
70 803
πŸ“Š 9 Key Database Types 🌍 Spatial: Stores and queries location data (PostGIS, MongoDB Spatial). πŸ”— Blockchain: Secure, immut
πŸ“Š 9 Key Database Types 🌍 Spatial: Stores and queries location data (PostGIS, MongoDB Spatial). πŸ”— Blockchain: Secure, immutable ledgers (BigchainDB, IBM Blockchain). 🌐 Distributed: Scales across servers (Cassandra, Amazon DynamoDB). ⚑️ In-Memory: Lightning-fast access (Redis, Memcached, H2). πŸ—‚ NoSQL: Flexible, schema-free (MongoDB, Couchbase, HBase). πŸ“‹ Relational: Structured with tables & SQL (MySQL, PostgreSQL, Oracle). 🧩 Object-Oriented: Models complex objects (db4o, Object DB). πŸ•Έ Graph: Perfect for relationships (Neo4j, Amazon Neptune). ⏱️ Time-Series: Optimized for timestamps (InfluxDB, Prometheus). Pick the right tool for your data challenge.

Data Science
Data Science
70 803
πŸ“– 6 Steps of Data Cleaning Every Data Analyst Should Know
πŸ“– 6 Steps of Data Cleaning Every Data Analyst Should Know

Data Science
Data Science
70 803
πŸ“±Data Analysis πŸ“±NoSQL Essential Training

Data Science
Data Science
70 803
πŸ”… NoSQL Essential Training πŸ“ Get a high-level view of the basics of NoSQL, from how it differs from relational databases to
πŸ”… NoSQL Essential Training πŸ“ Get a high-level view of the basics of NoSQL, from how it differs from relational databases to its pros and cons. 🌐 Author: Melanie McGee πŸ”° Level: Beginner ⏰ Duration: 43m πŸ“‹ Topics: NoSQL πŸ”— Join Data Analysis for more courses

Data Science
Data Science
70 803
πŸ“– Data Analytic Skills that will get you hired
πŸ“– Data Analytic Skills that will get you hired

Data Science
Data Science
70 803
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—¦-- 221k| πŸ”° Linkedin Learning 139k| πŸ”° Udemy Premium 134k| πŸ”° Web Development -β—¦-β—¦--β—¦- 118k| πŸ”° Python 3 100k| πŸ”° JavaScript Training 089k| πŸ”° Machine Learning -β—¦-β—¦--β—¦- 068k| πŸ”° Artificial Intelligence 068k| πŸ”° Data Analysis and Databases 064k| πŸ”° React and NextJs -β—¦-β—¦--β—¦- 061k| πŸ”° Linux and DevOps 049k| πŸ”° 100 Days of Python 048k| πŸ”° OpenAI Mastery -β—¦-β—¦--β—¦- 047k| πŸ”° Business and Finance 045k| πŸ”° Best Telegram Channels 040k| πŸ”° Udemy Learning -β—¦-β—¦--β—¦- 040k| πŸ”° Zero to Mastery 040k| πŸ”° Mobile Apps 035k| πŸ”° Linkedin Learning Courses -β—¦-β—¦--β—¦- 035k| πŸ”° Codedamn Courses 034k| πŸ”° React 101 031k| πŸ”° Crypto Tutorials -β—¦-β—¦--β—¦- 030k| πŸ”° Coding Interview 025k| πŸ”° Telegram's Shorts 022k| πŸ”° Linux Training -β—¦-β—¦--β—¦- 022k| 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
70 803
πŸ“– Data Science
πŸ“– Data Science

Data Science
Data Science
70 803
πŸ“– Data Visualization CheatSheet
πŸ“– Data Visualization CheatSheet

Data Science
Data Science
70 803
πŸ“¦ Exercise Files