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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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Сеть:📈 Аналитический обзор Telegram-канала Power BI & Tableau Resources
Канал Power BI & Tableau Resources (@powerbi_analyst) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 55 894 подписчиков, занимая 3 037 место в категории Образование и 6 138 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 55 894 подписчиков.
Согласно последним данным от 04 сентября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 100, а за последние 24 часа — 5, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 1.98%. В первые 24 часа после публикации контент обычно набирает 0.93% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 1 107 просмотров. В течение первых суток публикация набирает 518 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 2.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как dax, visual, dashboard, chart, slicer.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“🆓 Resources to learn Power BI, Tableau & Data Visualisation
Perfect channel to start learning everything about Data Analytics
Admin: @coderfun”
Благодаря высокой частоте обновлений (последние данные получены 05 сентября, 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.
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| 2 | 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
-----
1.4 ₽ · /balance_help | 451 |
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| 7 | 🚀 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 | 873 |
| 8 | 🚀 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.
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❤️ React with ❤️ for more Power BI interview challenges! | 850 |
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| 12 | 🚀 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 | 1 532 |
| 13 | 🚀 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 | 1 346 |
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| 18 | 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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| 19 | 🚀 Power BI Interview Questions with Answers: Part 9
81. How do you publish a Power BI report?
After creating and testing a report in Power BI Desktop:
1. Save the.pbix file.
2. Sign in to Power BI.
3. Select Publish from Power BI Desktop.
4. Choose the target workspace.
5. Publish the report and its semantic model.
6. Open Power BI Service and verify the published content.
After publishing, you can configure: Permissions, Scheduled refresh, RLS, Apps, Deployment processes
A good practice is to validate the report in the Service after publishing rather than assuming the Desktop version is sufficient.
82. What are workspace roles in Power BI?
Workspace roles control what users can do within a Power BI workspace.
The primary roles are:
Admin - Has full control over the workspace, including managing access and workspace settings.
Member - Can generally collaborate on workspace content and manage or publish content according to the permissions associated with the role.
Contributor - Can create, edit, and publish content but has fewer administrative capabilities than an Admin or Member.
Viewer - Primarily consumes content and does not have the same content-management capabilities as contributors or members.
The principle of least privilege should be followed: give users only the access they actually need.
83. What is Row-Level Security (RLS)?
Row-Level Security restricts which rows of data a user can see.
For example, a company has sales for four regions: North, South, East, West
With RLS:
North Manager → North data
South Manager → South data
CEO → All regions
The same report can therefore be used by multiple users while showing each person only the data they're authorized to access.
RLS is defined using roles and filters, and users are assigned to those roles in the Power BI Service.
84. What is the difference between Static RLS and Dynamic RLS?
Static RLS
The filter is explicitly defined for a role.
Example:
[Region] = "North"
Anyone assigned to that role sees North data.
This works well when the number of roles is small and fixed.
Dynamic RLS
The filter is determined based on the current user's identity.
A common approach is to maintain a security mapping table:
User Email: user1@company.com → Region: North
User Email: user2@company.com → Region: South
Then DAX can use the logged-in user's identity, commonly through USERPRINCIPALNAME(), to determine which rows they should see.
Dynamic RLS is generally more scalable when many users have different access requirements.
85. How do you test RLS?
You should test RLS before giving users access to the report.
In Power BI Desktop, use the View As functionality to test how the report behaves under a particular role.
After publishing, also verify the role assignments and test the report in the Power BI Service with appropriate accounts.
For example:
North Manager
↓ Should see only North data
You should test: Correct users, Incorrect users, Multiple roles where applicable, Unexpected blank results, Users who should have broader access
RLS testing is important because an incorrect security rule can expose data or prevent users from seeing information they need.
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