Namdev Gurme

📊 Complete Power BI Syllabus. 🔰 Beginner Level: 1. Introduction to Power BI:   •  What is Power BI? Components of Power BI   •  Power BI Desktop Installation and Interface Overview 2. Data Acquisition:   •  Connecting to Various Data Sources (Excel, CSV, Databases, Web)   •  Import vs. DirectQuery Mode 3. Power Query Editor:   •  Data Transformation and Cleaning (Removing Duplicates, Handling Null Values, Changing Data Types)   •  Appending and Merging Queries   •  Creating Calculated Columns 4. Data Modeling:   •  Creating Relationships between Tables   •  Understanding Cardinality and Cross-Filter Direction 5. Basic Visualizations:   •  Creating Bar Charts, Line Charts, Pie Charts, Tables, Matrices   •  Using Slicers, Filters, and Tooltips 6. Publishing and Sharing:   * Publishing Reports to Power BI Service   * Creating Dashboards   * Sharing Dashboards and Reports with Others 7. Basic Projects: Building a simple Sales Dashboard, Creating a basic Customer Analysis Report ⚙️ Intermediate Level: 1. Advanced DAX:   •  Understanding DAX Syntax and Functions   •  Creating Measures for Aggregation, Filtering, and Time Intelligence   •  Using CALCULATE, FILTER, ALL, and RELATED Functions 2. Advanced Data Modeling:   •  Star Schema vs. Snowflake Schema   •  Creating Calculated Tables   •  Using Hierarchies 3. Advanced Visualizations:   •  Creating Map Visuals, Scatter Charts, Gauge Charts, Treemaps   •  Using Bookmarks and Buttons for Navigation   •  Custom Visuals from AppSource 4. Power BI Service:   •  Managing Datasets, Gateways, and Dataflows   •  Setting up Scheduled Refreshes   •  Row-Level Security (RLS) 5. Dataflows:   •  Creating and Managing Dataflows   •  Using Dataflows for Data Preparation and Transformation 6. Intermediate Projects: Building an HR Analytics Dashboard, Creating a Financial Statement Report 🏆 Expert Level: 1. DAX Optimization:   •  Identifying and Resolving Performance Bottlenecks in DAX Code   •  Using Variables and Iterators Effectively   •  Understanding Storage Engine vs. Formula Engine 2. Advanced Data Modeling Techniques:   •  Implementing Role-Playing Dimensions   •  Handling Many-to-Many Relationships 3. Power BI Embedded:   •  Embedding Power BI Reports and Dashboards in Custom Applications   •  Using the Power BI REST API 4. Power BI Administration:   •  Managing Power BI Tenant Settings   •  Monitoring Performance and Usage   •  Implementing Data Governance and Security Policies 5. Power BI Premium:   •  Understanding Premium Capacity and Features   •  Using Aggregations and Incremental Refresh 6. AI and Machine Learning in Power BI:   •  Using the AI Visuals (Key Influencers, Decomposition Tree)   •  Integrating Custom Machine Learning Models with Power BI 7. Expert Projects: Designing and implementing a comprehensive enterprise-level Power BI solution. 💡 Bonus: Learn about Power Automate Integration, Power Apps Integration, and Data Storytelling Techniques.Get familiar with new features and update.

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🚀 Power BI Aspirants & Data Enthusiasts! I’ve compiled 10 Most Asked Power BI Interview Questions in MNCs (with Answers) into a well-designed PDF to help you crack interviews with confidence. 💡 📘 Inside this guide: ✅ Static vs Dynamic RLS ✅ Direct Query vs Import Mode ✅ Performance Optimization Tips ✅ Calculated Columns vs Measures ✅ Pro vs Premium vs Fabric … and much more! 💼 Whether you’re preparing for your first interview or aiming for senior roles, this PDF will give you an edge in your Power BI journey #powerbi #powerbisql #dataanalysts

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****Powerbi Interview Questions***** 1.How can you change the order of values on the X-axis of a Column Chart? Ans:-You can change the order in two ways: Sort By Column: Select the category field in the Fields pane → Click "Sort By Column" → Choose a numerical column that defines the custom order. 2. Your PBIX file is not getting published—what could be the reasons? Ans:-Possible reasons include: File size exceeds 1GB (for Pro users) or 10GB (for Premium). Limited workspace storage, requiring cleanup of unused datasets. Dataset contains unsupported DirectQuery connections to certain data sources. Power BI Service restrictions, such as license limitations. Network issues or authentication errors during publishing. 3. How do you embed Power BI reports into a web application? Ans:-Use Power BI Embedded (Azure) for authentication-based embedding. Generate an embed token using the REST API. Embed reports using the JavaScript API (Power BI Client SDK). 4. What is Cardinality & its Impact on Relationships? Ans:-Cardinality defines the uniqueness of values in a column when creating relationships. Power BI supports one-to-one (1:1), one-to-many (1:M), and many-to-many (M:M) relationships. Incorrect cardinality can cause duplication, incorrect aggregations, and performance issues. Always analyze data before defining relationships. 5. How to Optimize Power BI Data Models? Ans:-Use star schema instead of snowflake. Remove unnecessary columns & rows. Optimize DAX by avoiding nested iterators. Use Aggregations, Summarized tables, and Query Folding for efficiency. Paradesh Naidu Data analyst Interview preparations Qns Bank:-https://lnkd.in/gsid7QKq Tata Consultancy Services,WeWork,Randstad,AMD,PowerBI.tips

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Hello Everyone, Below are the table manipulation DAX functions in Power BI used in the projects. 1. Summarize 2. Addcolumns 3. Selectcolumns 4. Union 5. TopN Refer to the pdf below for more detail about each DAX function. #DAX #PowerBI

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