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Data Science

Data Science

前往频道在 Telegram

Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases

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📈 Telegram 频道 Data Science 的分析概览

频道 Data Science (@sql_databases) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 70 790 名订阅者,在 教育 类别中位列第 2 261,并在 印度 地区排名第 4 562

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 70 790 名订阅者。

根据 26 八月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -310,过去 24 小时变化为 -15,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 11.21%。内容发布后 24 小时内通常能获得 2.74% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 7 934 次浏览,首日通常累积 1 943 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 0
  • 主题关注点: 内容集中在 database, learning, linkedin, udemy, 029k| 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases

凭借高频更新(最新数据采集于 27 八月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

70 790
订阅者
-1524 小时
-1277
-31030
帖子存档
📱Data Analysis 📱MySQL for Data Analysis

📂 Full description You dont need to wield high-level tools to start interacting with your data now. With a basic knowledge of MySQL, youre just about ready to go. In this course, instructor Ava Meredith shows you how to use the MySQL database to manipulate, aggregate, summarize, and analyze data more effectively.Find out how to get the most out of MySQL from a power user by learning how to retrieve data, join tables, and write subqueries and complex queries. Explore aggregate, numeric, string, and date and time functions, as well as other built-in functions to work with different data types. Get quick tips and expert tricks on best practices for navigating within the database, building up your skill set as a data analyst, and taking your productivity to the next level.

🔅 MySQL for Data Analysis 🌐 Author: Ava Meredith 🔰 Level: Beginner ⏰ Duration: 54m 🌀 Learn quick tips and expert tricks o
🔅 MySQL for Data Analysis 🌐 Author: Ava Meredith 🔰 Level: BeginnerDuration: 54m
🌀 Learn quick tips and expert tricks on using MySQL to manipulate, aggregate, summarize, and analyze data more effectively.
📗 Topics: MySQL 📤 Join Data Analysis for more courses

💡 Top Data Analytic Skills to Land a Job in 2025 Here are the most sought-after skills for data analytic roles: 💫 Technical
💡 Top Data Analytic Skills to Land a Job in 2025 Here are the most sought-after skills for data analytic roles: 💫 Technical Skills: 🔸 SQL: Mastering SQL is essential for querying and managing data stored in databases. 🔸 Spreadsheets: Tools like MS Excel and GoogleSheets are must-haves for performing calculations, data manipulation, and basic visualizations. 🔸 Programming Languages (Python, R, SAS): These are critical for advanced data analysis and visualization. Python and R are particularly popular due to their robust libraries and versatility. 🔸 Data Visualization: Learn to create impact dashboards and charts. Start with PowerBI (free) before exploring advanced tools. 🔸 Data Management: Develop proficiency in systems like MySQL PostgreSQL or SQLServer to securely and efficiently handle data. 🔸 Machine Learning (Optional): Familiarize yourself with algorithms like Linear Regression, Logistic Regression, and KNN if you’re exploring data science pathways. 💫 Soft Skills: Communication, Collaboration, Critical Thinking, Creativity 🔸 Write clear reports and presentations, collaborate effectively with teams, and explain technical insights in simple terms to stakeholders.

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📖 SQL aggregate functions
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📖 SQL aggregate functions

📖 Types of keys in SQL
📖 Types of keys in SQL

📖 .SQL Joins Explained
📖 .SQL Joins Explained

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📖 Learn all Data Structures in one easy table!
📖 Learn all Data Structures in one easy table!

📊 Infographic Elements That Every Data Person Should Master 🚀 After years of working with data, I can tell you one thing: �
📊 Infographic Elements That Every Data Person Should Master 🚀 After years of working with data, I can tell you one thing: 👉 The chart ou choose is as important as the data itself. Here’s your quick visual toolkit 👇 🔹 Timelines * Sequential ⏩ great for processes * Scaled ⏳ best for real dates/events 🔹 Circular Charts * Donut 🍩 & Pie 🥧 for proportions * Radial 🌌 for progress or cycles * Venn 🎯 when you want to show overlaps 🔹 Creative Comparisons * Bubble 🫧 & Area 🔵 for impact by size * Dot Matrix 🔴 for colorful distributions * Pictogram 👥 when storytelling matters most 🔹 Classic Must-Haves * Bar 📊 & Histogram 📏 (clear, reliable) * Line 📈 for trends * Area 🌊 & Stacked Area for the “big picture” 🔹 Advanced Tricks * Stacked Bar 🏗 when categories add up * Span 📐 for ranges * Arc 🌈 for relationships 💡 Pro tip from experience: If your audience doesn’t “get it” in 3 seconds, change the chart. The best visualizations speak louder than numbers

10. APPENDIX - Installing Oracle on Windows

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09. Exam Question Walkthrough Videos - Part 01

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08. ADDITIONAL TOPICS - Part 01

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07. Creating, Altering, and Updating Objects Using SQL - Part 01

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06. Analytical Functions using OVER and PARTITION with ORDER BY - Part 01

⚠️ To be continued ⚠️

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05. Multi-Table Queries and Joins - Part 01

04. Grouping Functions

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03. Single Row Functions - Part 01