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Data Analytics & AI | SQL Interviews | Power BI Resources

Data Analytics & AI | SQL Interviews | Power BI Resources

前往频道在 Telegram

🔓Explore the fascinating world of Data Analytics & Artificial Intelligence 💻 Best AI tools, free resources, and expert advice to land your dream tech job. Admin: @coderfun Buy ads: https://telega.io/c/Data_Visual

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📈 Telegram 频道 Data Analytics & AI | SQL Interviews | Power BI Resources 的分析概览

频道 Data Analytics & AI | SQL Interviews | Power BI Resources (@data_visual) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 27 283 名订阅者,在 教育 类别中位列第 7 207,并在 印度 地区排名第 15 291

📊 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 27 283 名订阅者。

根据 21 七月, 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 75,过去 24 小时变化为 18,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 2.22%。内容发布后 24 小时内通常能获得 0.54% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 605 次浏览,首日通常累积 146 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 2
  • 主题关注点: 内容集中在 |--, sql, learning, analytic, visualization 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:
🔓Explore the fascinating world of Data Analytics & Artificial Intelligence 💻 Best AI tools, free resources, and expert advice to land your dream tech job. Admin: @coderfun Buy ads: https://telega.io/c/Data_Visual

凭借高频更新(最新数据采集于 22 七月, 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。

27 283
订阅者
+1824 小时
+697
+7530
吸引订阅者
七月 '26
七月 '26
+145
在1个频道中
六月 '26
+185
在2个频道中
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五月 '26
+331
在0个频道中
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四月 '26
+208
在2个频道中
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三月 '26
+212
在1个频道中
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二月 '26
+462
在1个频道中
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一月 '26
+636
在2个频道中
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十二月 '25
+484
在0个频道中
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十一月 '25
+585
在1个频道中
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十月 '25
+581
在4个频道中
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九月 '25
+543
在1个频道中
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八月 '25
+708
在0个频道中
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七月 '25
+847
在0个频道中
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六月 '25
+1 515
在0个频道中
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五月 '25
+2 679
在1个频道中
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四月 '25
+3 616
在0个频道中
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三月 '25
+1 192
在3个频道中
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二月 '25
+884
在2个频道中
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一月 '25
+798
在3个频道中
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十二月 '24
+512
在1个频道中
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十一月 '24
+600
在3个频道中
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十月 '24
+730
在0个频道中
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九月 '24
+1 351
在1个频道中
Get PRO
八月 '24
+1 170
在0个频道中
Get PRO
七月 '24
+1 476
在0个频道中
Get PRO
六月 '24
+1 890
在2个频道中
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五月 '24
+1 173
在1个频道中
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四月 '24
+2 953
在0个频道中
日期
订阅者增长
提及
频道
22 七月+3
21 七月+18
20 七月+11
19 七月+13
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02 七月+8
01 七月+4
频道帖子
💎 Product Photography. Prompt: Studio shot of a [PRODUCT], elegantly positioned on a [background], soft ambient shadows, smo
+3
💎 Product Photography. Prompt:
Studio shot of a [PRODUCT], elegantly positioned on a [background], soft ambient shadows, smooth gradient backdrop, high-key lighting, shallow depth of field, ultra-sharp focus on the subject, subtle reflections, minimal aesthetic, professional DSLR, premium commercial lighting setup, optimized for high-end product presentation

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5 resources to learn Claude AI for free 👇 1/ Anthropic's Official Guide: https://support.claude.com/en/articles/8114491-get-started-with-claude 2/ Great Learning's Free Course: https://www.mygreatlearning.com/academy/learn-for-free/courses/introduction-to-claude 3/ Claude Code in Action: https://anthropic.skilljar.com/claude-code-in-action 4/ CC for Everyone: https://ccforeveryone.com/ 5/ FreeAcademy's Guide: https://freeacademy.ai/blog/best-free-claude-code-courses-2026
931
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Quick Excel Cheatsheet! 📊 Basic Formulas 1. Add: =A1+B1 2. Subtract: =A1-B1 3. Multiply: =A1*B1 4. Divide: =A1/B1 5. Average: =AVERAGE(A1:A10) 6. Sum: =SUM(A1:A10) Logical Functions 1. IF: =IF(A1>10, "Yes", "No") 2. AND: =AND(A1>5, B1<10) 3. OR: =OR(A1=1, B1=2) 4. EXACT (case-sensitive match): =EXACT(A1, B1) Lookup Functions 1. VLOOKUP: =VLOOKUP(A1, Table, 2, FALSE) 2. HLOOKUP: =HLOOKUP(A1, Table, 2, FALSE) 3. XLOOKUP: =XLOOKUP(A1, Range1, Range2) Counting Data Types 1. Count numbers: =COUNT(A1:A10) 2. Count non-empty: =COUNTA(A1:A10) 3. Count blanks: =COUNTBLANK(A1:A10) 4. Is number: =ISNUMBER(A1) 5. Is text: =ISTEXT(A1) React ❤️ for more
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✅ Data Analytics Roadmap for Freshers 🚀📊 1️⃣ Understand What a Data Analyst Does 🔍 Analyze data, find insights, create dashboards, support business decisions. 2️⃣ Start with Excel 📈 Learn: – Basic formulas – Charts & Pivot Tables – Data cleaning 💡 Excel is still the #1 tool in many companies. 3️⃣ Learn SQL 🧩 SQL helps you pull and analyze data from databases. Start with: – SELECT, WHERE, JOIN, GROUP BY 🛠️ Practice on platforms like W3Schools or Mode Analytics. 4️⃣ Pick a Programming Language 🐍 Start with Python (easier) or R – Learn pandas, matplotlib, numpy – Do small projects (e.g. analyze sales data) 5️⃣ Data Visualization Tools 📊 Learn: – Power BI or Tableau – Build simple dashboards 💡 Start with free versions or YouTube tutorials. 6️⃣ Practice with Real Data 🔍 Use sites like Kaggle or Data.gov – Clean, analyze, visualize – Try small case studies (sales report, customer trends) 7️⃣ Create a Portfolio 💻 Share projects on: – GitHub – Notion or a simple website 📌 Add visuals + brief explanations of your insights. 8️⃣ Improve Soft Skills 🗣️ Focus on: – Presenting data in simple words – Asking good questions – Thinking critically about patterns 9️⃣ Certifications to Stand Out 🎓 Try: – Google Data Analytics (Coursera) – IBM Data Analyst – LinkedIn Learning basics 🔟 Apply for Internships & Entry Jobs 🎯 Titles to look for: – Data Analyst (Intern) – Junior Analyst – Business Analyst 💬 React ❤️ for more!
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🤖 𝗛𝗢𝗪 𝗧𝗢 𝗙𝗜𝗫 𝗣𝗥𝗢𝗠𝗣𝗧 𝗪𝗜𝗧𝗛 𝗠𝗘𝗧𝗔 𝗣𝗥𝗢𝗠𝗣𝗧𝗜𝗡𝗚: ( Bookmark 🔖 This )
🤖 𝗛𝗢𝗪 𝗧𝗢 𝗙𝗜𝗫 𝗣𝗥𝗢𝗠𝗣𝗧 𝗪𝗜𝗧𝗛 𝗠𝗘𝗧𝗔 𝗣𝗥𝗢𝗠𝗣𝗧𝗜𝗡𝗚: ( Bookmark 🔖 This )
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If you’re just starting out in Data Analytics, it’s super important to build the right habits early. Here’s a simple plan for beginners to grow both technical and problem-solving skills together: If You Just Started Learning Data Analytics, Focus on These 5 Baby Steps: 1. Don’t Just Watch Tutorials — Build Small Projects After learning a new tool (like SQL or Excel), create mini-projects: - Analyze your expenses - Explore a free dataset (like Netflix movies, COVID data) 2. Ask Business-Like Questions Early Whenever you see a dataset, practice asking: - What problem could this data solve? - Who would care about this insight? 3. Start a ‘Data Journal’ Every day, note down: - What you learned - One business question you could answer with data (Helps you build real-world thinking!) 4. Practice the Basics 100x Get very comfortable with: - SELECT, WHERE, GROUP BY (SQL) - Pivot tables and charts (Excel) - Basic cleaning (Power Query / Python pandas) _Mastering basics > learning 50 fancy functions._ 5. Learn to Communicate Early Explain your mini-projects like this: - What was the business goal? - What did you find? - What should someone do based on it? React with ❤️ if you need a beginner-friendly roadmap to start your data analytics career Data Analytics Free Resources: https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 ENJOY LEARNING 👍👍
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Resonant is a mini-app that connects your decision patterns to your AI Agents. Generate your personal Agentic Memory Card now
Resonant is a mini-app that connects your decision patterns to your AI Agents. Generate your personal Agentic Memory Card now! https://t.me/ResonantAlphaBot/resonant?startapp
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