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 70 790 obunachidan iborat bo'lib, Taʼlim toifasida 2 261-o'rinni va Hindiston mintaqasida 4 562-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 70 790 obunachiga ega bo‘ldi.
26 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -310 ga, so‘nggi 24 soatda esa -15 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 11.21% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.74% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 7 934 marta ko‘riladi; birinchi sutkada odatda 1 943 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 27 Avgust, 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.
70 790
Obunachilar
-1524 soatlar
-1277 kunlar
-31030 kunlar
Postlar arxiv
70 790
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🔰 2hrs on top & 8hrs in channel!
70 790
🥇 40+ Real and Free Data Science Projects
👨🏻💻 Real learning means implementing ideas and building prototypes. It's time to skip the repetitive training and get straight to real data science projects!
🔆 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.
✏️ 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.
┌🏳️🌈 40+ Python Data Science Projects
└ 🌎 Website
70 790
📂 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.
70 790
🔅 Python Data Analysis for Healthcare
🌐 Author: Wuraola Oyewusi
🔰 Level: Advanced
⏰ Duration: 2h 48m
🌀 Learn how to use Python data analysis for a range of practical use cases in the healthcare industry.📗 Topics: Data Analysis, Healthcare Analytics, Python 📤 Join Data Analysis for more courses
70 790
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70 790
📂 Full description
Data is increasing exponentially as the world continues to generate an immense amount. In this course, a data engineer with over 5 years of experience, Jennifer Ebe, will show you how to build systems that gather data from various sources, transform it and store data so you can derive insights from it effectively. We will go over what ETLs are and how you create them. We will learn how to use Python to extract and transform data, we will explore our data using pandas and SQL. And finally, load data into our target system. You will also get practice scheduling ETL jobs using Python. Each chapter comes with helpful, hands-on challenges to help you practice what you learn.
70 790
🔅 ETL in Python and SQL
🌐 Author: Jennifer Ebe
🔰 Level: Intermediate
⏰ Duration: 1h 20m
🌀 Gain the knowledge you need to build data pipelines in a data-driven world.📗 Topics: SQL, Extract, Transform, Load, Python 📤 Join Data Analysis for more courses
70 790
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🔰 2hrs on top & 8hrs in channel!
70 790
🔅 PREMIUM CHANNELS
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🔰 The Coding Space
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217k| 🔰 Linkedin Learning Courses
128k| 🔰 Premium Udemy Courses
127k| 🔰 Web Development
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106k| 🔰 Learn Python
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🔰 2hrs on top & 8hrs in channel!
70 790
🔅 PREMIUM CHANNELS
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 The Coding Space
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128k| 🔰 Premium Udemy Courses
127k| 🔰 Web Development
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106k| 🔰 Learn Python
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🔰 Add Your Channel
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🔰 2hrs on top & 8hrs in channel!
70 790
🔅 PREMIUM CHANNELS
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 The Coding Space
-◦-◦--◦--◦-◦--◦--◦-◦--
217k| 🔰 Linkedin Learning Courses
127k| 🔰 Premium Udemy Courses
126k| 🔰 Web Development
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105k| 🔰 Learn Python
095k| 🔰 JavaScript Courses
076k| 🔰 Machine Learning
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065k| 🔰 DevOps Tutorials
059k| 🔰 Learn React and NextJs
056k| 🔰 Data Analysis and Databases
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050k| 🔰 Linux and DevOps
043k| 🔰 100 Days of Python
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