Power BI & Tableau Resources
Open in Telegram
🆓 Resources to learn Power BI, Tableau & Data Visualisation Perfect channel to start learning everything about Data Analytics Admin: @coderfun
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Network:📈 Analytical overview of Telegram channel Power BI & Tableau Resources
Channel Power BI & Tableau Resources (@powerbi_analyst) in the English language segment is an active participant. Currently, the community unites 55 890 subscribers, ranking 3 040 in the Education category and 6 147 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 55 890 subscribers.
According to the latest data from 05 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 59 over the last 30 days and by -24 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 1.98%. Within the first 24 hours after publication, content typically collects 0.92% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 108 views. Within the first day, a publication typically gains 515 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
- Thematic interests: Content is focused on key topics such as dax, visual, dashboard, chart, slicer.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“🆓 Resources to learn Power BI, Tableau & Data Visualisation
Perfect channel to start learning everything about Data Analytics
Admin: @coderfun”
Thanks to the high frequency of updates (latest data received on 06 September, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
55 890
Subscribers
-2424 hours
+127 days
+5930 days
Data loading in progress...
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Channel Posts
💡 POWER BI TIPS FOR BEGINNERS — PART 6
🧠 1. Understand the grain of your data
Know exactly what one row represents before creating calculations or relationships. Many reporting errors start with misunderstanding the data grain.
📐 2. Use explicit measures for important KPIs
Create measures for metrics such as Revenue, Profit, Margin, and Growth instead of relying on implicit aggregations.
🔗 3. Check relationship direction carefully
Incorrect filter directions can create ambiguous paths and unexpected results. Keep relationships as simple as possible.
📋 4. Use a dedicated KPI section
Place important business metrics together at the top of a report page so users can understand performance quickly.
🎨 5. Keep formatting consistent
Use consistent decimal places, currency symbols, percentage formats, and number units across related visuals.
🔢 6. Use appropriate number formatting
A value like 1,250,000 can often be displayed as 1.25M when exact precision isn't required, making dashboards easier to scan.
🗂️ 7. Separate business logic from presentation logic
Keep calculations in measures and use the report layer mainly for presenting those results. This makes changes easier later.
🚫 8. Don't create columns just because you can
Before adding a calculated column, ask whether the requirement can be handled more efficiently with Power Query or a measure.
🧪 9. Test edge cases
Check what happens when data is blank, zero, duplicated, missing, or outside the expected date range.
💾 10. Keep a backup of important PBIX files
Save meaningful versions of your reports so you can recover an earlier working version when major changes cause problems.
💡 Pro Tip: A professional Power BI report isn't just visually attractive — it should also be accurate, efficient, understandable, and easy to maintain.
🚀 Double Tap ❤️ For More
| 2 |  🚀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 𝗢𝗻 𝗔𝘇𝘂𝗿𝗲 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 ☁️
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⚡ Take the first step toward your dream tech career today! | 481 |
| 4 | POWER BI TIPS FOR BEGINNERS — PART 5
🧠 1. Use a consistent naming convention
Keep tables, columns, and measures clearly named so your model is easy to understand and maintain.
📌 2. Hide technical fields from report users
Hide keys, IDs, and helper columns that users don't need when building reports.
🎯 3. Use folders to organize measures
Display folders can group related measures such as:
• Sales
• Profit
• Growth
• Targets
🔍 4. Check visual-level filters carefully
A visual may show unexpected results because a filter was applied only to that visual.
📊 5. Use interactions intentionally
Not every slicer or chart needs to affect every visual. Configure interactions based on the business requirement.
⚡ 6. Avoid excessive visuals on one page
Too many visuals can make reports slower and harder to understand. Give important metrics enough space.
📅 7. Keep date logic centralized
Use one proper Date table for common date calculations instead of creating separate date logic throughout the model.
🧮 8. Reuse measures instead of repeating calculations
Build a base measure once and use it inside other measures. This makes DAX easier to maintain.
🔐 9. Think about security before publishing
If different users should see different data, design and test RLS before the report reaches production.
🔄 10. Test refresh with realistic data volumes
A report that works perfectly with a small dataset may behave differently when the production dataset becomes much larger.
💡 Power BI becomes easier when you focus not just on creating visuals, but on building a clean, reliable, and maintainable data model.
🚀 Double Tap ❤️ For More
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1.4 ₽ · /balance_help | 587 |
| 5 |  🔥 𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 — 𝗙𝗿𝗼𝗺 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿 𝘁𝗼 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱! 💻📊
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Here’s a collection of company-specific resources to help you understand their interview and hiring processes.
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| 7 |  🎓 𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀
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| 8 |  🚀 𝗟𝗲𝘃𝗲𝗹 𝗨𝗽 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝘄𝗶𝘁𝗵 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴! 💻
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💫Perfect for students, freshers, data analysts and professionals looking to upgrade their skills. | 853 |
| 9 | 🚀 POWER BI TIPS FOR BEGINNERS — PART 3
👉 1. Don't start with visuals
Start by understanding the data and business requirement. Build the model first, then create visuals.
👉 2. Check the grain of your data
Know what one row represents before writing DAX. It could be one order, one product, one customer, or one transaction.
👉 3. Hide technical columns
Hide IDs, keys, and other columns that users don't need to see. Keep the report field list clean.
👉 4. Sort months correctly
Don't let Power BI sort months alphabetically. Create a Month Number column and use it to sort Month Name.
👉 5. Avoid unnecessary calculated columns
If a calculation can be handled efficiently as a measure, don't automatically create a calculated column.
👉 6. Use a dedicated measure layer
Keep your important measures organized separately from raw columns. This makes the model easier to use and maintain.
👉 7. Be careful with bidirectional filtering
Use it only when there's a clear reason. Unnecessary bidirectional relationships can create ambiguous filter paths and unexpected results.
👉 8. Don't use pie charts for everything
Choose visuals based on the question you're answering. Bar charts are often better for comparing many categories.
👉 9. Keep report pages focused
Each page should have a clear purpose. Avoid putting every available metric onto one page.
👉 10. Always test with real user scenarios
Check how the report behaves when users apply different filters, select different dates, and navigate between pages.
🚀 Build the foundation correctly, and everything you create on top of it becomes easier.
Double Tap ❤️ For More | 887 |
| 10 | 🚀 Power BI Interview Challenge #1 🔥
𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝗲𝗿:
You have 2 minutes to solve this Power BI problem.
You have a Sales table with the following columns:
Order Date
Sales
Create a DAX measure to calculate Year-to-Date (YTD) Sales.
𝗠𝗲: Challenge accepted! 💪
YTD Sales =
TOTALYTD(
SUM(Sales[Sales]),
Sales[Order Date]
)
💡 Explanation:
TOTALYTD() calculates the cumulative sales from the beginning of the year up to the current date.
• SUM(Sales) returns the total sales amount
• Sales[Order Date] is the date column used for the YTD calculation
• The measure automatically resets at the start of each new year[Sales]
🎯 Expected Output Example
Month | Sales | YTD Sales
--- | --- | ---
Jan | 10,000 | 10,000
Feb | 15,000 | 25,000
Mar | 12,000 | 37,000
Apr | 18,000 | 55,000
🚀 Bonus (Using a Calendar Table)
YTD Sales =
TOTALYTD(
[Total Sales],
'Calendar'[Date]
)
Using a dedicated Calendar/Date table is considered a Power BI best practice and is recommended for all time intelligence calculations.
🚀 Tip for Power BI Job Seekers:
Time Intelligence is one of the most frequently tested topics in Power BI interviews. Make sure you can confidently write measures for:
• YTD (Year-to-Date)
• MTD (Month-to-Date)
• QTD (Quarter-to-Date)
• Previous Year Sales
• YoY Growth %
• Rolling 12 Months
These are commonly used in business dashboards and technical interviews.
Power BI Resources: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c
❤️ React with ❤️ for more Power BI interview challenges! | 870 |
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| 14 | 🚀 POWER BI TIPS FOR BEGINNERS — PART 2
Learning Power BI becomes much easier when you understand not just what to use, but when and why to use it.
👉 1. Define the business question first
Before creating a visual, understand what decision the report needs to support. Don't build charts just because the data is available.
👉 2. Create a proper Date Table
A dedicated Date table makes time-based analysis such as YTD, MTD, QTD, and YoY much more reliable.
👉 3. Name your measures clearly
Use names like "Total Sales", "Total Profit", and "Profit Margin %" instead of confusing or automatically generated names.
👉 4. Avoid unnecessary Many-to-Many relationships
Use a clear dimensional model whenever possible. Many-to-Many relationships can make filtering and DAX more complicated.
👉 5. Learn filter context before advanced DAX
Understanding why a measure changes when you apply a slicer or filter is essential for mastering DAX.
👉 6. Use "DIVIDE()" for ratios
When calculating percentages or ratios, "DIVIDE()" provides safer handling when the denominator is zero or blank.
👉 7. Keep your data model organized
Use meaningful table and column names and keep your model easy to understand and maintain.
👉 8. Use Performance Analyzer when a report feels slow
Don't guess the problem. Identify which visuals or queries are taking the most time and investigate the actual bottleneck.
👉 9. Test interactions between visuals
Click different charts and slicers to make sure cross-filtering and highlighting behave as intended.
👉 10. Build projects while learning
Don't wait until you finish learning Power BI. Build Sales, HR, Finance, or Marketing dashboards as you learn each concept.
🚀 Double Tap ❤️ For More
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1.36 ₽ · /balance_help | 1 619 |
| 15 | 🚀 POWER BI TIPS EVERY BEGINNER SHOULD KNOW
If you're learning Power BI, don't just focus on creating charts. Build habits that will help you create cleaner, faster, and more professional reports.
👉 1. Always clean data before modeling
Use Power Query to fix data types, remove duplicates, handle missing values, and eliminate unnecessary columns before building your model.
👉 2. Prefer a Star Schema
Keep your Fact and Dimension tables separate and create clear relationships between them. A good model makes DAX and reporting much easier.
👉 3. Use Measures for calculations
For dynamic calculations such as Total Sales, Profit Margin, and YTD Sales, prefer measures instead of creating unnecessary calculated columns.
👉 4. Don't overload your dashboard
More visuals don't mean more insights. Keep only the visuals that help answer important business questions.
👉 5. Give your visuals meaningful titles
Instead of "Sum of Sales," use titles like "Monthly Sales Trend" or "Sales by Region." Make the insight obvious to the user.
👉 6. Use slicers carefully
Add slicers for dimensions users actually need to explore, such as Date, Region, Product, or Category. Too many slicers can make a report confusing.
👉 7. Check your data types
Make sure dates are dates, numbers are numbers, and text is text. Incorrect data types can cause incorrect calculations and sorting.
👉 8. Don't load unnecessary data
Remove columns and rows that aren't required for analysis. A smaller model is generally easier to maintain and can perform better.
👉 9. Learn CALCULATE() properly
Don't just memorize DAX functions. Understand how "CALCULATE()" changes filter context. It's one of the most important concepts in DAX.
👉 10. Always validate your numbers
Before sharing a dashboard, compare important KPIs against the source data and investigate any differences.
🔥 Remember:
A professional Power BI report isn't about having the most visuals.
It's about having accurate data, a strong model, useful calculations, and clear insights.
Learn the fundamentals well, and advanced Power BI becomes much easier.
Double Tap ❤️ For More Useful Tips
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1.39 ₽ · /balance_help | 1 465 |
| 16 |  𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀
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| 20 | 86. How do you schedule a semantic model refresh?
For an imported semantic model, you can configure refresh in Power BI Service.
Typical process:
1. Open the workspace.
2. Locate the semantic model.
3. Open its settings.
4. Configure the required credentials and connection details.
5. Configure the refresh schedule.
6. Save the settings.
7. Monitor refresh history.
For on-premises sources, you may also need a properly configured gateway.
Refresh frequency and available capabilities depend on the Power BI/Fabric licensing and capacity configuration.
The key point is that scheduled refresh ensures the imported data is periodically updated from its source.
87. What is a Power BI deployment pipeline?
A deployment pipeline is a feature used to move Power BI content through different development stages.
A common structure is: Development ↓ Test ↓ Production
Development - Developers build and modify reports.
Test - The solution is validated by testers or business users.
Production - The approved solution is made available to business users.
Deployment pipelines help reduce the risk of directly making changes to production content.
They are particularly useful for organizations following formal release and change-management processes.
88. How do you deploy a report from Dev to Test to Production?
A typical enterprise process is:
Developer
↓
Development Workspace
↓
Testing
↓
Test Workspace
↓
Business Validation
↓
Production Workspace
The report is first developed and validated in Dev.
Then it is deployed to Test, where users verify: Data accuracy, DAX calculations, Visuals, Performance, Security, Business requirements
After approval, it is deployed to Production.
In mature environments, deployment pipelines and source-control/release processes can be used to make deployments more controlled and repeatable.
89. How do you control export permissions?
Power BI provides security and tenant/report settings that can control how users interact with and export data.
Depending on the configuration, organizations can control capabilities such as: Export summarized data, Export underlying data, Analyze in Excel, Download reports, Other sharing and data-access capabilities
The exact options available depend on the Power BI environment, permissions, licensing, and administrator settings.
Important principle: Don't rely only on hiding a visual to protect sensitive data.
Security should be implemented through appropriate: Permissions, RLS, Workspace access, Export settings, Tenant-level governance
90. How do you securely share Power BI reports with users?
The sharing method should depend on the audience and governance requirements.
Common approaches include:
Power BI App - Best for distributing governed content to a broad business audience.
Workspace - Useful for teams that need to collaborate on content.
Direct Sharing - Useful for smaller groups or specific users when appropriate.
RLS - Use when different users should see different rows of data.
For sensitive information, you should also consider: Least-privilege access, RLS, Workspace roles, Export restrictions, Appropriate licensing, Organizational governance
A good enterprise approach is to avoid giving broad workspace permissions to users who only need to consume reports.
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