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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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📈 Аналитический обзор Telegram-канала Data Science

Канал Data Science (@sql_databases) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 70 790 подписчиков, занимая 2 261 место в категории Образование и 4 562 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 70 790 подписчиков.

Согласно последним данным от 26 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -310, а за последние 24 часа — -15, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 11.21%. В первые 24 часа после публикации контент обычно набирает 2.74% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 7 934 просмотров. В течение первых суток публикация набирает 1 943 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 0.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как database, learning, linkedin, udemy, 029k|.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases

Благодаря высокой частоте обновлений (последние данные получены 27 августа, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.

70 790
Подписчики
-1524 часа
-1277 дней
-31030 день
Архив постов
📖 Power BI vs Tableau
📖 Power BI vs Tableau

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🥇 40+ Real and Free Data Science Projects 👨🏻‍💻 Real learning means implementing ideas and building prototypes. It's time
🥇 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

📖 Type of Databases
📖 Type of Databases

📦 Exercise Files

📱Data Analysis 📱Python Data Analysis for Healthcare

📂 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.

🔅 Python Data Analysis for Healthcare 🌐 Author: Wuraola Oyewusi 🔰 Level: Advanced ⏰ Duration: 2h 48m 🌀 Learn how to use P
🔅 Python Data Analysis for Healthcare 🌐 Author: Wuraola Oyewusi 🔰 Level: AdvancedDuration: 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

📖 SQL Joins Cheat Sheet
📖 SQL Joins Cheat Sheet

📖 Most Important Distributions in Data Science
📖 Most Important Distributions in Data Science

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📖 8 Data Architect Skills
📖 8 Data Architect Skills

📦 Exercise Files

📱Data Analysis 📱ETL in Python and SQL

📂 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.

🔅 ETL in Python and SQL 🌐 Author: Jennifer Ebe 🔰 Level: Intermediate ⏰ Duration: 1h 20m 🌀 Gain the knowledge you need to
🔅 ETL in Python and SQL 🌐 Author: Jennifer Ebe 🔰 Level: IntermediateDuration: 1h 20m
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📗 Topics: SQL, Extract, Transform, Load, Python 📤 Join Data Analysis for more courses

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