✅ How much Power BI is enough to crack a Data Analyst Interview? 📊💡

📌 Basic Power BI Skills
⦁ Connecting to Excel, CSV, SQL, and other data sources
⦁ Understanding Power BI Desktop interface
⦁ Importing & transforming data with Power Query

🔍 Data Modeling
⦁ Relationships: One-to-Many, Many-to-Many
⦁ Primary & foreign keys
⦁ Star schema vs Snowflake schema

📊 Dashboard & Visualization
⦁ Bar, Line, Pie, Donut, Combo charts
⦁ Cards, KPIs, slicers, and filters
⦁ Drill-through & tooltips

🧮 DAX and DQL Functions
⦁ SUM, AVERAGE, COUNTROWS, CALCULATE
⦁ FILTER, ALL, RELATED, IF, SWITCH
⦁ Time Intelligence: TOTALYTD, SAMEPERIODLASTYEAR

🧩 Data Cleaning & Transformation
⦁ Remove duplicates, split columns
⦁ Merge queries, append tables
⦁ Handling missing or inconsistent data

⚙️ Advanced Tips
⦁ Bookmarks & Buttons for interactive dashboards
⦁ Row-level security
⦁ Publishing to Power BI Service & sharing reports

💼 Practical Scenarios
⦁ Sales & revenue analysis
⦁ Employee performance dashboards
⦁ Financial & budget tracking
⦁ Trend & KPI analysis

✅ Must-Have Strengths:
⦁ Quick report building
⦁ Clear & insightful dashboards
⦁ Understanding business metrics
⦁ Transforming raw data into actionable insights

For interviews, focus on data prep, modeling, and DAX. Practice real scenarios to stand out!