Power BI & Tableau Resources

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🆓 Resources to learn Power BI, Tableau & Data Visualisation Perfect channel to start learning everything about Data Analytics Admin: @coderfun

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网络:Data Analytics 印度6 303 教育3 043...

📈 Telegram 频道 Power BI & Tableau Resources 的分析概览

频道 Power BI & Tableau Resources (@powerbi_analyst) 英语语言赛道中的是活跃参与者。目前社区聚集了 55 530 名订阅者，在教育类别中位列第 3 043，并在印度地区排名第 6 303 位。

📊 受众指标与增长动态

自 невідомо 创建以来，项目保持高速增长，吸引了 55 530 名订阅者。

根据 07 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 124，过去 24 小时变化为 -3，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 1.86%。内容发布后 24 小时内通常能获得 1.08% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 1 031 次浏览，首日通常累积 598 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 3。
主题关注点： 内容集中在 dax, visual, dashboard, chart, slicer 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：
“🆓 Resources to learn Power BI, Tableau & Data Visualisation Perfect channel to start learning everything about Data Analytics Admin: @coderfun”

凭借高频更新（最新数据采集于 08 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。

55 530

订阅者

-324 小时

+677 天

+12430 天

1 031

帖子浏览量

~ 59824 小时

~ 71648 小时

1.86%

参与率

~ 2

每日帖子数

Ads index

beta

数据加载中...

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日期	订阅者增长	提及	频道
08 七月	+8
07 七月	0
06 七月	+20
05 七月	+4
04 七月	+21
03 七月	+17
02 七月	+17
01 七月	+14

频道帖子

📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀 ✅ 100% FREE learning opportunities ✅ Great for students, freshers, and beginners ✅ Help you build a stronger resume with recognized names like Cisco, Google, and Microsoft ✅ Useful for analytics internships, off-campus drives, and fresher hiring 🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇: https://pdlink.in/4eRA6eF 🚀 Start learning today. Build your analytics foundation. Earn free certifications. Move one step closer to your Data Analyst career.

2	🎓 𝗧𝗼𝗽 𝟱 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗜𝗺𝗽𝗿𝗼𝘃𝗲 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀𝗲𝘁 🚀 These 5 FREE courses that can help you stand out in interviews and job applications! 💼✨ 📊 Microsoft Excel 📈 Power BI 💫 Python for Data Science ⏰Time Management 💰 Basic Financial Accounting 🎯 Invest a few hours today to unlock better career opportunities tomorrow! 🔗 𝗟𝗲𝗮𝗿𝗻 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 👇:- https://pdlink.in/4dPjz92 📌 Save this post and share it with friends looking to upskill in 2026.	491
3	✅ Dashboard Design Principles 📊🎨 👉 Creating dashboards is not just about charts. A good dashboard should be: ✔ Clear ✔ Interactive ✔ Easy to understand ✔ Business-focused 🔹 1. What is a Dashboard? A dashboard is a visual interface that shows: 📈 KPIs 📊 Charts 📉 Business insights 👉 Used for decision-making. 🔥 2. Goals of a Good Dashboard ✔ Show important insights quickly ✔ Reduce confusion ✔ Help users take action 🔹 3. Key Dashboard Principles ⭐ ✅ Keep It Simple ❌ Too many visuals = confusion ✔ Use only important charts ✅ Use Proper Chart Types Purpose : Best Chart Comparison : Bar Chart Trends : Line Chart Distribution : Histogram Percentage : Pie Chart ✅ Maintain Visual Hierarchy 👉 Important KPIs should appear at the top. Example: ✔ Revenue ✔ Profit ✔ Customer Count 🔹 4. Use Consistent Colors ⭐ ✔ Same color for same category ✔ Avoid too many bright colors Example: 🟢 Profit 🔴 Loss 🔹 5. Add Filters & Interactivity Use: ✔ Slicers ✔ Drill-through ✔ Dropdown filters 👉 Helps users explore data. 🔹 6. Dashboard Layout Best Practices Top Section 👉 KPIs & summary cards Middle Section 👉 Main charts Bottom Section 👉 Detailed tables 🔹 7. Common Dashboard Mistakes ❌ ❌ Too much data ❌ Wrong chart selection ❌ Poor color choices ❌ Cluttered layout 🔹 8. Storytelling with Data ⭐ A dashboard should answer: ✔ What happened? ✔ Why did it happen? ✔ What should we do next? 🔹 9. Why Dashboard Design Matters? ✔ Better business decisions ✔ Improved user experience ✔ Professional reporting 🎯 Today’s Goal ✔ Learn dashboard principles ✔ Understand chart selection ✔ Learn layout & storytelling Power BI Resources: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c 💬 Tap ❤️ for more!	555
4	𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗔𝗜 𝗝𝗼𝘂𝗿𝗻𝗲𝘆 \| 𝟱 𝗠𝘂𝘀𝘁-𝗪𝗮𝘁𝗰𝗵 𝗙𝗥𝗘𝗘 𝗩𝗶𝗱𝗲𝗼𝘀 🚀 The good news is — you don’t need expensive courses to understand the basics of AI, Machine Learning, Neural Networks, Prompting, and real-world AI tools. This guide features 5 must-watch FREE AI videos that can help you build a strong foundation in AI concepts 🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇: https://pdlink.in/4gn4LS5 🚀 Start watching today. Learn AI step by step. Build future-ready skills for free.	749
5	18. Focus on Business Impact Instead of saying: "I built a dashboard." Say: "I built a sales dashboard that reduced manual reporting time by 70% and helped managers identify low-performing regions." Quantify your impact whenever possible. 19. Practice Mock Interviews Time yourself answering: • Technical questions • Scenario-based questions • Project discussions Speaking confidently is as important as knowing the answer. 20. Stay Calm and Think Logically If you don't know an answer: • Ask clarifying questions • Explain your thought process • Relate it to concepts you already know Interviewers often evaluate your problem-solving approach, not just whether you know the exact answer. Final Interview Advice • Revise SQL and Power BI together • Build at least 5 to 10 real-world projects • Practice DAX every day • Understand business problems, not just technical features • Be ready to explain every project on your resume Double Tap ❤️ For More	809
6	Top 20 Power BI Interview Tips to Crack Your Next Interview 1. Master Power BI Fundamentals Be confident explaining: • Power BI Desktop • Power BI Service • Power BI Mobile • Reports vs Dashboards • Datasets vs Semantic Models 2. Learn Data Modeling Thoroughly Interviewers frequently ask about: • Star Schema • Snowflake Schema • Fact Tables • Dimension Tables • Relationships • Cardinality 3. Be Strong in DAX Know how to write and explain: • Measures • Calculated Columns • CALCULATE() • FILTER() • ALL() • VAR • Time Intelligence 4. Understand Row Context vs Filter Context This is one of the most commonly asked DAX interview questions. Be able to explain it with practical examples. 5. Practice SQL Alongside Power BI Many interviews include SQL questions before Power BI questions. Revise: • Joins • Window Functions • CTEs • GROUP BY • Subqueries 6. Learn Power Query Be prepared to explain: • Merge Queries • Append Queries • Pivot and Unpivot • Query Folding • Data Cleaning • M Language basics 7. Know Power BI Service Understand: • Workspaces • Apps • Dashboards • Scheduled Refresh • Data Gateway • Sharing Reports 8. Understand Row-Level Security RLS Be ready to explain: • Why RLS is needed • Static vs Dynamic RLS • Real-world use cases 9. Learn Performance Optimization Interviewers often ask: • How do you optimize a slow report? • How do you reduce model size? • Why prefer Measures over Calculated Columns? • What is Query Folding? 10. Build Real Projects Projects make your answers much stronger than theory alone. Create dashboards for: • Sales • HR • Finance • Marketing • Inventory 11. Know Business KPIs Understand metrics such as: • Revenue • Profit • Gross Margin • Customer Retention • Customer Acquisition Cost CAC • Average Order Value AOV 12. Explain Your Projects Clearly Use this structure: Business Problem → Data Source → Data Cleaning → Data Model → DAX → Dashboard → Business Insights → Impact 13. Practice Scenario-Based Questions Examples: • Design a sales dashboard • Analyze declining revenue • Optimize a slow report • Build a customer churn dashboard Think like a business analyst, not just a report developer. 14. Learn Visualization Best Practices Know when to use: • Bar Chart • Line Chart • Matrix • KPI Card • Map • Funnel Chart Choosing the right visual is just as important as building it. 15. Don't Memorize DAX Instead, understand: • Relationships • Context • Filter propagation • Business logic Understanding concepts helps you solve unfamiliar problems. 16. Practice Explaining Concepts Interviewers may ask: • What is Star Schema? • What is CALCULATE()? • Difference between Import and DirectQuery? • Why use Measures instead of Calculated Columns? Explain in simple, clear language. 17. Revise Common Interview Questions Prepare answers for: • Top 100 Power BI Interview Questions • DAX scenarios • SQL queries • Data Modeling concepts • Power Query transformations **18.	624
7	𝗙𝗥𝗘𝗘 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 \| 𝟰 𝗠𝘂𝘀𝘁-𝗧𝗮𝗸𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀 ✅ Python is one of the most beginner-friendly and in-demand programming languages 🎓Perfect For 👨‍🎓 Students 💼 Freshers 💫Coding Beginners 📊 Data / AI / Automation aspirants 🚀 Anyone planning to start a tech career with Python 🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇: https://pdlink.in/4wjwEz2 🚀 Build Python skills for free. Take your first step toward a stronger tech career.	636
8	Types of chart	785
9	🚀 𝗙𝗥𝗘𝗘 𝗧𝗖𝗦 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 \| 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿🎓 A FREE TCS certification can be a smart way to strengthen your profile, improve job readiness, and stand out in internships, placements, and fresher hiring. ✅ Learn from one of India’s top IT companies ✅ Add a recognized certification to your resume + LinkedIn profile ✅ Great for students, freshers, and placement preparation ✅ Free certifications from trusted brands add real value to your profile 🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇: https://pdlink.in/4fjeMPe 🎓Earn your free TCS certification. Make your resume stronger.	778
10	🚀 25 Power BI Tips Every Beginner Should Know 💡 1. Learn Data Modeling Before DAX A strong Star Schema makes DAX easier and improves report performance. 💡 2. Always Clean Data in Power Query Don't use DAX for data cleaning. Remove duplicates, fix data types, and handle nulls in Power Query. 💡 3. Prefer Measures Over Calculated Columns Measures are dynamic, use less memory, and generally perform better. 💡 4. Build a Proper Date Table Many time intelligence functions YTD, MTD, QTD, YoY require a dedicated Date table. 💡 5. Use Meaningful Names Instead of: Table1, Column1 Use: Sales, Customer, Revenue This makes your model easier to understand and maintain. 💡 6. Remove Unused Columns Only load the columns you need. Smaller models refresh faster and use less memory. 💡 7. Check Data Types Ensure: Dates → Date, Sales → Decimal Number, Quantity → Whole Number Incorrect data types can lead to calculation errors. 💡 8. Use Star Schema Connect fact tables to dimension tables. Avoid creating one large flat table whenever possible. 💡 9. Learn Keyboard Shortcuts They improve productivity significantly. Examples: Ctrl + C → Copy, Ctrl + V → Paste, Ctrl + Z → Undo, Ctrl + S → Save 💡 10. Don't Overuse Pie Charts Use bar or column charts when comparing many categories. Pie charts work best with a small number of categories. 💡 11. Keep Dashboards Simple Show only the visuals that answer the business question. Avoid overcrowding pages. 💡 12. Use Consistent Colors Use one color palette throughout the report for a clean and professional appearance. 💡 13. Learn SQL Alongside Power BI Most enterprise data comes from databases. SQL is an essential companion skill. 💡 14. Master CALCULATE() CALCULATE() is one of the most important DAX functions and is widely used in business reports. 💡 15. Use Variables VAR in DAX Variables make formulas easier to read, debug, and often improve performance. 💡 16. Create Interactive Reports Use: Slicers, Drill-down, Drill-through, Tooltips, Bookmarks Interactive reports provide a better user experience. 💡 17. Test with Real Datasets Practice using real-world sales, HR, finance, or marketing datasets instead of only sample data. 💡 18. Learn Business KPIs Understand metrics such as: Revenue, Profit, Gross Margin, Customer Churn, Customer Acquisition Cost CAC Knowing the business context is just as important as building visuals. 💡 19. Optimize Before Publishing Before publishing a report: Remove unused visuals, Delete unnecessary columns, Check DAX performance, Test filters and interactions 💡 20. Organize Your Model Group measures into folders and use consistent naming conventions for tables and columns. 💡 21. Practice Every Day Even 30–60 minutes of daily practice is more effective than occasional long sessions. 💡 22. Build Projects Instead of Just Watching Tutorials The best way to learn is by solving real business problems and creating complete dashboards. 💡 23. Learn to Explain Your Dashboard Be ready to answer: What problem does it solve? What insights does it provide? What actions should the business take? 💡 24. Don't Memorize DAX Focus on understanding: Row Context, Filter Context, Relationships, Business logic Once you understand these concepts, writing DAX becomes much easier. 💡 25. Stay Curious and Keep Learning Power BI evolves regularly. Explore new features, build new projects, and continue improving your skills. 🎯 Final Advice for Beginners Learn Data Modeling before advanced DAX. Spend more time in Power Query than formatting visuals. Build at least 10 real-world projects. Learn SQL alongside Power BI. Focus on solving business problems, not just creating charts. Remember: Companies hire Power BI professionals to deliver business insights—not just to build dashboards. Double Tap ❤️ For More!	847
11	📊 𝗕𝗲𝘀𝘁 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗵𝗮𝗻𝗻𝗲𝗹𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 🚀 You don’t need expensive courses to learn SQL, Excel, Python, Power BI, Tableau, and real-world analytics projects. The Best YouTube channels for Data Analytics can help you build job-ready skills for internships, placements, and full-time analyst roles — all for FREE. 🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇: https://pdlink.in/3QO3MQB 🚀Start with one channel, stay consistent, build projects, and your Data Analytics career can genuinely take off.	871
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13	How you can learn Data Analytics in 28 days: Week 1: Excel • Learn functions (VLOOKUP, Pivot Tables) • Clean and format data • Analyze trends Week 2: SQL • Learn SELECT, WHERE, JOIN • Query real datasets • Aggregate and filter data Week 3: Power BI/Tableau • Build dashboards • Create data visualizations • Tell stories with data Week 4: Real-World Project • Analyze a data • Share insights • Build a portfolio One skill at a time → Real progress in a month! Start today	983
14	🎓𝟳 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 & 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 🚀 Learn job-ready skills from Microsoft + LinkedIn and add recognized certificates to your resume without spending money ✅ 100% FREE to access ✅ Learn from Microsoft + LinkedIn Learning ✅ Beginner-friendly and career-focused ✅ Great for students, freshers, and career switchers 🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇: https://pdlink.in/4wmXdTY 🚀 Start learning today. Collect free certifications. Build your skills. Make your resume stand out.	1 120
15	✅ Power BI Visualizations – Must-Know Charts for Freshers 📊⚡ 1️⃣ Bar Chart 👉 Best for comparing categories (e.g., sales by region) 📌 Interview Tip: "How would you show top-selling products?" 2️⃣ Line Chart 👉 Great for trends over time (e.g., revenue per month) 📌 Scenario: "Visualize monthly user growth." 3️⃣ Pie / Donut Chart 👉 Shows part-to-whole relationships 📌 Tip: Use sparingly — not ideal for more than 5 segments. 4️⃣ Column Chart 👉 Similar to bar chart, but vertical 📌 Use Case: Compare performance before & after a campaign. 5️⃣ Card / KPI Visual 👉 Shows key numbers like total revenue or number of users 📌 Example: “Display current month's total orders.” 6️⃣ Matrix / Table 👉 For detailed tabular data with drill-down 📌 Tip: Great for dashboards with both summary and details. 7️⃣ Slicer 👉 Filters visuals interactively (by date, category, etc.) 📌 Asked Often: "How would users filter the dashboard by product?" 8️⃣ Map Visual 👉 Geographical data (e.g., sales by country or city) 📌 Use Case: "Show delivery count by state." 9️⃣ Stacked Bar/Column Chart 👉 Breaks down totals by sub-category 📌 Example: “Sales by region, split by product category.” 🔟 Scatter Plot 👉 Correlation between two measures (e.g., profit vs. units sold) 📌 Tip: Add trend lines for clarity. 💡 Always explain why you choose a particular visual — not just how. 💬 Tap ❤️ for more	1 131
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20	Which month recorded the highest sales? Are sales targets being met? Which category has the highest profit margin? 📌 Step 13: Business Recommendations Based on the insights, provide recommendations. Examples: Increase inventory for top-selling products, Launch promotions in underperforming regions, Focus marketing on high-value customers, Reduce costs for low-margin products A dashboard is valuable when it drives decisions, not just displays data. 📌 Step 14: Documentation Document: Business Problem, Data Sources, Data Cleaning Steps, Data Model, DAX Measures, Dashboard Features, Key Insights, Recommendations 📌 Step 15: Publish Your Portfolio Share your project on: GitHub, LinkedIn Include: Dashboard screenshots, Project description, Technologies used, Key business insights 📌 Common Interview Questions 1. Why did you choose a Star Schema? 2. Which DAX measures were most challenging? 3. How did you optimize performance? 4. Why did you use Power Query? 5. How did you implement RLS? 6. What business insights did your dashboard provide? 7. How did you validate your data? 8. What improvements would you make? 🔥 Top 25 Real-World Power BI Project Ideas 1. Retail Sales Dashboard 2. HR Analytics Dashboard 3. Finance Dashboard 4. Banking Dashboard 5. Healthcare Dashboard 6. Supply Chain Dashboard 7. E-commerce Dashboard 8. Manufacturing Dashboard 9. Marketing Analytics Dashboard 10. Customer Churn Dashboard 11. Call Center Dashboard 12. Insurance Claims Dashboard 13. Hotel Booking Dashboard 14. Education Analytics Dashboard 15. Telecom Dashboard 16. Logistics Dashboard 17. Inventory Management Dashboard 18. Restaurant Analytics Dashboard 19. Real Estate Dashboard 20. Pharmaceutical Dashboard 21. Social Media Analytics Dashboard 22. Website Analytics Dashboard 23. Energy Consumption Dashboard 24. Stock Market Dashboard 25. Executive Business Dashboard Double Tap ❤️ For More ----- 0.8784 ₽ · /balance_help	1 034

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