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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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📈 Telegram kanali Data Science analitikasi

Data Science (@sql_databases) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 71 062 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, 71 062 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.

71 062
Obunachilar
+624 soatlar
+237 kunlar
-5430 kunlar
Postlar arxiv
+1
16 - pandas DataFrames - Part 01

⚠️ To be continued

15 - pandas Series

14 - Data Cleaning and Data Preprocessing

13 - APIs (POST requests are not needed for this course)

12 - Data GatheringData Collection

11 - Must-Know Python Tools

10 - Working with Text Data

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⚠️ To be continued

+3
09 - Working with Text Files - Part 01

08 - Pandas - Basics - Part 02

08 - Pandas - Basics - Part 01

07 - NumPy Basics

06 - Mathematics for Python

⚠️ To be continued

05 - Fundamentals for Coding in Python

04 - Python Basics

03 - Setting up the Environment

02 - Introduction to Data Analytics