Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
Data Science
Kanalga Telegram’da o‘tish
Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases
Ko'proq ko'rsatish📈 Telegram kanali Data Science analitikasi
Data Science (@sql_databases) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 71 042 obunachidan iborat bo'lib, Taʼlim toifasida 2 273-o'rinni va Hindiston mintaqasida 4 764-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 71 042 obunachiga ega bo‘ldi.
05 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -54 ga, so‘nggi 24 soatda esa 6 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 12.21% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.97% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 8 672 marta ko‘riladi; birinchi sutkada odatda 2 110 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent database, learning, linkedin, udemy, 029k| kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Learn how to analyze data effectively and manage databases with ease.
Buy ads: https://telega.io/c/sql_databases”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 07 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
71 042
Obunachilar
+624 soatlar
+237 kunlar
-5430 kunlar
Postlar arxiv
71 042
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Advanced SQL Concepts 💥📌 Access Full Pdfs Materials From Telegram In Bio 🚀 Stay tuned for more tips.
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🥇 This repo is like gold for every data scientist!
✅ Just open your browser; a ton of interactive exercises and real experiences await you. Any question about statistics, probability, Python, or machine learning, you'll get the answer right there! With code, charts, even animations. This way, you don't waste time, and what you learn really sticks in your mind!
⬅️ Data science statistics and probability topics
⬅️ Clustering
⬅️ Principal Component Analysis (PCA)
⬅️ Bagging and Boosting techniques
⬅️ Linear regression
⬅️ Neural networks and more...
┌ 📂 Int Data Science Python Dash
└ 🐱 GitHub-Repos
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📂 Full description
In this course, Lachezar Arabadzhiev provides an introduction to the world of data visualization using Canva and Flourish, and explains why visualization is critical to the big picture of product design. Lachezar shows you: how Canva's tools can be leveraged for data sharing and storytelling; how Flourish can add richness and context to data visualization; the key types of data visualization for designers and product teams; how to build a story around your data that gives the bigger context; and how to structure your narrative to reach the right audience. Whether youre a designer, creative, marketing pro to convey rich stories to accompany your data analysis, or an experienced Canva user who wants to be more prolific in business scenarios, check out this course to get started creating data visualizations.
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🔅 Data Visualization with Canva and Flourish
🌐 Author: Lachezar Arabadzhiev
🔰 Level: Beginner + Intermediate
⏰ Duration: 30m
🌀 Get an introduction to the world of data visualization using Canva and Flourish, and learn why visualization is critical to the big picture of product design.📗 Topics: Data Visualization, Canva 📤 Join Data Analysis for more courses
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