Postagens do Canal Microsoft Power BI | Tableau | Data Visualization

Here's how I would learn Power Bi for data analysis if I had to start from zero:

1) Learn the fundamentals: line chart, column chart etc.

2) Start a project and learn when to use which visualisation

3) Learn about data-to-ink ratio and prioritize it

4) Learn using colours and forget about being fancy

5) Repeat the process

Choosing the Right Chart Type


Selecting the appropriate chart can make or break your data storytelling. Here's a quick guide to help you choose the perfect visualization:

↳ 𝐁𝐚𝐫 𝐂𝐡𝐚𝐫𝐭𝐬: Perfect for comparing quantities across categories (Think: regional sales comparison)

↳ 𝐋𝐢𝐧𝐞 𝐂𝐡𝐚𝐫𝐭𝐬: Ideal for showing trends and changes over time (Example: monthly website traffic)

↳ 𝐏𝐢𝐞 𝐂𝐡𝐚𝐫𝐭𝐬: Best for showing parts of a whole as percentages (Use case: market share breakdown)

↳ 𝐇𝐢𝐬𝐭𝐨𝐠𝐫𝐚𝐦𝐬: Great for showing the distribution of continuous data (Like salary ranges across your organization)

↳ 𝐒𝐜𝐚𝐭𝐭𝐞𝐫 𝐏𝐥𝐨𝐭𝐬: Essential for exploring relationships between variables (Perfect for marketing spend vs. sales analysis)

↳ 𝐇𝐞𝐚𝐭 𝐌𝐚𝐩𝐬: Excellent for showing data density with color variation (Think: website traffic patterns by hour/day)

↳ 𝐁𝐨𝐱 𝐏𝐥𝐨𝐭𝐬: Invaluable for displaying data variability and outliers (Great for analyzing performance metrics)

↳ 𝐀𝐫𝐞𝐚 𝐂𝐡𝐚𝐫𝐭𝐬: Shows cumulative totals over time (Example: sales growth across product lines)

↳ 𝐁𝐮𝐛𝐛𝐥𝐞 𝐂𝐡𝐚𝐫𝐭𝐬: Powerful for displaying three dimensions of data (Combines size, position, and grouping)

𝐏𝐫𝐨 𝐓𝐢𝐩: Always consider your audience and the story you want to tell when choosing your visualization type.

𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 𝗳𝗿𝗼𝗺 𝗚𝗹𝗼𝗯𝗮𝗹 𝗚𝗶𝗮𝗻𝘁𝘀!😍

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7-day Power BI roadmap for Data Analytics 👇👇

Day 1: Introduction to Power BI and Data Preparation

- Objective: Understand the basics of Power BI and start with data preparation.

- Tasks:

  1. Introduction to Power BI:
     - Learn about Power BI components (Power BI Desktop, Service, and Mobile).
     - Understand the interface and key features.

  2. Connecting to Data Sources:
     - Learn how to connect Power BI to different data sources (Excel, CSV, SQL, etc.).
     - Understand data import vs. direct query.

  3. Data Cleaning:
     - Use Power Query Editor to clean and transform data.
     - Handle missing values, data types, and apply basic transformations.

  4. Data Loading:
     - Load the cleaned data into Power BI for analysis.

Day 2: Data Modeling and Relationships

- Objective: Develop a solid understanding of data modeling within Power BI.

- Tasks:

  1. Understanding Data Modeling:
     - Learn about data models (star schema, snowflake schema).

  2. Creating Relationships:
     - Establish relationships between tables in your data model.
     - Understand the types of relationships (one-to-one, one-to-many, many-to-many).

  3. Calculated Columns and Measures:
     - Create calculated columns for new data fields.
     - Understand and create DAX (Data Analysis Expressions) measures.

**Day 3: Visualizations and

- Objective: Learn how to create various visualizations and
dashboards in Power BI.

- Tasks:

  1. Creating Basic Visuals:
     - Bar charts, line charts, pie charts, tables, and matrices.

  2. Advanced Visualizations:
     - Maps, scatter plots, gauges, and custom visuals from the marketplace.

  3. Designing Dashboards:
     - Arrange visuals into a cohesive dashboard layout.
     - Learn about best practices for dashboard design.

Day 4: DAX for Advanced Analytics

- Objective: Dive deeper into DAX for complex calculations and analytics.

- Tasks:

  1. DAX Basics:
     - Learn about the purpose and syntax of DAX.
     - Understand common functions like SUM, AVERAGE, COUNTROWS, etc.

  2. Time Intelligence Functions:
     - Learn DAX functions for time-based calculations (YTD, QTD, MTD, etc.).

  3. Advanced Calculations:
     - Create complex measures using CALCULATE, FILTER, ALL, etc.

Day 5: Power BI Service and Collaboration

- Objective: Learn how to publish reports to the Power BI Service and collaborate with others.

- Tasks:

  1. Publishing Reports:
     - Publish your Power BI Desktop reports to the Power BI Service.

  2. Creating Dashboards in Power BI Service:
     - Pin visuals from reports to create a dashboard.

  3. Sharing and Collaboration:
     - Share reports and dashboards with others.
     - Explore workspaces, apps, and collaboration features.

Day 6: Power BI Data Refresh and Gateways

- Objective: Set up and manage data refreshes and understand gateways.

- Tasks:

  1. Scheduled Refresh:
     - Set up scheduled refresh for your datasets in the Power BI Service.

  2. Data Gateways:
     - Learn about on-premises data gateways and how to configure them for data refresh.

  3. Data Alerts:
     - Set up alerts for specific data conditions within your reports.

Day 7: Performance Optimization and Best Practices
- Objective: Focus on optimizing report performance and following best practices.

- Tasks:

  1. Performance Optimization:
     - Optimize DAX calculations, data models, and visuals for better performance.
     - Use the Performance Analyzer in Power BI Desktop.

  2. Best Practices:
     - Follow best practices for data modeling, visualizations, and report design.
     - Learn about version control and documentation.

  3. Final Project:
     - Apply everything you've learned by creating a comprehensive Power BI report or dashboard based on a real dataset.

𝗦𝗤𝗟 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗧𝗵𝗮𝘁 𝗖𝗮𝗻 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗚𝗲𝘁 𝗬𝗼𝘂 𝗛𝗶𝗿𝗲𝗱!😍

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Power BI interview questions and answers 😄👇

1. Question: What is Power BI?

Answer: Power BI is a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end-users to create their reports and dashboards.

2. Question: Differentiate between Power BI Desktop, Power BI Service, and Power BI Mobile.

Answer: Power BI Desktop is used for creating reports, Power BI Service (or Power BI Online) is the cloud service for sharing and collaborating on reports, and Power BI Mobile allows users to access reports on mobile devices.

3. Question: Explain the role of Power Query in Power BI.

Answer: Power Query is used for data transformation and shaping. It allows users to connect to various data sources, clean and transform data before loading it into Power BI for analysis.

4. Question: What is DAX in Power BI, and why is it important?

Answer: DAX (Data Analysis Expressions) is a formula language used for creating custom calculations in Power BI. It is important as it enables users to create sophisticated measures and calculated columns.

5. Question: How do you create relationships between tables in Power BI?

Answer: In Power BI Desktop, go to the "Model" view, drag and drop fields from one table to another to create relationships based on common keys.

6. Question: What is the difference between a calculated column and a measure in Power BI?

Answer: A calculated column is a column added to a table, computed row by row, while a measure is a formula applied to a set of data, providing a dynamic calculation based on the context.

7. Question: How can you implement row-level security in Power BI?

Answer: Row-level security in Power BI can be implemented by creating roles in Power BI Desktop and defining filters at the row level based on user roles.

8. Question: Explain the purpose of the Power BI Gateway.

Answer: The Power BI Gateway allows for a secure connection between Power BI services and on-premises data sources. It facilitates refreshing datasets and running scheduled refreshes.

9. Question: What is a Power BI dashboard?

Answer: A Power BI dashboard is a single-page, interactive view of your data that provides a consolidated and visualized summary of key metrics. It can include visuals, images, and live data.

10. Question: How can you share a Power BI report with others?

Answer: Power BI reports can be shared through the Power BI service. Publish the report to the Power BI service, and then share it with specific users or distribute it widely within an organization.

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Hope it helps :)

𝗙𝗿𝗲𝗲 𝗽𝗿𝗲𝘃𝗶𝗲𝘄 𝗼𝗳 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗮𝗻𝗱 𝗮𝗰𝗰𝗲𝘀𝘀 𝘁𝗼 𝟭𝟬𝟬𝟬+ 𝗳𝗿𝗲𝗲 𝗼𝗻𝗹𝗶𝗻𝗲 𝗰𝗼𝘂𝗿𝘀𝗲𝘀😍

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Complete structured Power BI syllabus for data analysts


1. Introduction to Power BI
Overview of Power BI Desktop, Service, and licensing. Power BI workflow: data import, transform, model, visualize, and publish.

2. Connecting to Data Sources
Connecting to Excel, CSV, SQL Server, and others. Import vs. Direct Query, data refresh, and scheduling.

3. Power Query Editor (ETL)
Data transformation: removing duplicates, filtering, changing data types. Merging and appending queries, introduction to the M Language.

4. Data Modeling
Creating relationships between tables, star schema design, calculated columns/tables. Understanding cardinality, cross-filtering, and data categorization.

5. DAX (Data Analysis Expressions)
Basic DAX syntax, measures, and calculated columns. Aggregation, logical, and filter functions (SUM, IF, CALCULATE). Time intelligence functions for dynamic calculations (YTD, MTD).

6. Visualizations
Building visuals (bar, line, pie, etc.), custom visuals. Formatting and interactions (drill-down, cross-filtering). Maps and geographical visualizations, hierarchies.

7. Filters and Slicers
Using filters at different levels (report, page, visual). Slicers and drill-through filters for report interaction.

8. Publishing and Sharing
Publishing reports, creating dashboards, sharing reports. Workspaces, embedding reports, Power BI Apps.

9. Row-Level Security (RLS)
Implementing RLS to manage user access to data.

10. Power BI Mobile
Optimizing reports for mobile view.

11. Dataflows and Datasets
Creating reusable dataflows, linking datasets, and composite models.

12. Bookmarks and Buttons
Using bookmarks for report storytelling, buttons for navigation.

13. AI Capabilities
AI visuals (Decomposition Tree, Key Influencers), integrating Azure AI.

14. Paginated Reports
Creating pixel-perfect paginated reports for detailed data representation.

15. Data Refresh
Scheduled/manual refresh, data gateways for on-premises data.

16. Power BI and SQL
Direct connection to SQL, using stored procedures with Power BI.

17. Performance Optimization
Best practices for optimizing performance and report load times.

18. Real-Time Dashboards
Streaming datasets, live dashboards with APIs, and real-time data integration.

19. Case Studies and Projects
Building industry-specific dashboards (finance, sales, marketing), real-world scenarios.

✅ 𝐒𝐭𝐚𝐫𝐭𝐢𝐧𝐠 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈? 🤔

If you're new to Power BI and want to get the most out of this powerful tool, here's a step-by-step guide 😄

𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐭𝐡𝐞 𝐁𝐚𝐬𝐢𝐜𝐬📘
1. Start by learning the interface, basic navigation, and fundamental concepts like data models, tables, and relationships.
2. Microsoft’s official resources and YouTube are great places to begin.

𝐋𝐞𝐚𝐫𝐧 𝐃𝐚𝐭𝐚 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐨𝐧𝐬 🔗
1. Familiarize yourself with connecting to different data sources like Excel, SQL, and cloud services.
2. Practice importing data and transforming it using Power Query.

𝐌𝐚𝐬𝐭𝐞𝐫 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧📊
1. Focus on creating your first reports with simple charts and visuals.
2. Understand how to use filters, slicers, and drill-throughs effectively.

𝐆𝐞𝐭 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐰𝐢𝐭𝐡 𝐃𝐀𝐗 🔢
1. DAX (Data Analysis Expressions) is crucial for advanced calculations and measures.
2. Start with basic functions like SUM, AVERAGE, and then move to more complex functions.

𝐁𝐮𝐢𝐥𝐝 & 𝐒𝐡𝐚𝐫𝐞 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 🖥️
Create interactive dashboards and learn how to publish them to the Power BI Service.
Share your work on Linkedin and gather feedback.

𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞, 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞, 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞 🔄
The more you practice, the better you'll get. Try building reports using sample datasets or work on real-life projects.

𝐒𝐭𝐚𝐲 𝐔𝐩𝐝𝐚𝐭𝐞𝐝 📅
Power BI evolves constantly. Keep learning & exploring new features on Microsoft's official Page.

Trump Takes Action: Tariffs on China, Energy Dominance, Vaccine Ban & IRS Shakeup 🇺🇸🔥

🚨 Major moves from President Trump:

💰Tariffs on China: Trump announced that he has imposed import duties totaling 600 billion rubles—more than any other U.S. president before him.

⚡️Energy Dominance: Trump signed an executive order creating the National Council for Energy Dominance, chaired by Secretary of State Bergum, aiming to unleash America’s full energy potential.

🚫COVID-19 Vaccine Ban in Schools: Schools receiving federal funding can no longer require the COVID-1COVID-19 vaccine—a decisive move that shuts down speculation about Trump's stance on vaccines.

📉Reports suggest the IRS is prepaIRS is preparing mass layoffs next week followingmajor audit of the agency.

🔥Bold moves, big changes—what’s next?

#Trump #Tariffs #EnergyDominance #COVID19 #VaccineBan #IRS #China #AmericaFirst #BreakingNews

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