Post #2387

📊Data Analyst Interview Cheat Sheet (2025 Edition) ✅1. SQL Essentials Key Concepts: • SELECT, WHERE, GROUP BY, HAVING • JOINs (INNER, LEFT, RIGHT, FULL) • Window Functions (ROW_NUMBER, RANK, LEAD/LAG) • Subqueries & CTEs • Aggregations & Filtering Practice Queries: • Top 3 customers by revenue • Monthly active users • Running total or moving average • Products never sold ✅2. Excel/Spreadsheet Skills Key Concepts: • VLOOKUP, XLOOKUP, INDEX-MATCH • IF, AND, OR logic • Pivot Tables & Charts • Conditional Formatting • Data Cleaning Functions (TRIM, CLEAN, TEXTSPLIT) ✅3. Data Visualization Tools: Tableau, Power BI, Excel Key Charts: • Line chart – Trend • Bar chart – Comparison • Pie chart – Distribution • Scatter plot – Correlation • Heatmaps Best Practices: • Keep visuals simple & clear • Use color intentionally • Add titles, labels, tooltips ✅4. Statistics & Analytics Concepts Key Concepts: • Mean, Median, Mode • Standard Deviation, Variance • Correlation vs Causation • Hypothesis Testing (p-value, t-test) • A/B Testing basics • Confidence Intervals ✅5. Python for Data Analysis Key Libraries: • Pandas – data manipulation • NumPy – numerical ops • Matplotlib/Seaborn – visualization • SQLAlchemy – database access Common Tasks: • Read CSV/excel files • GroupBy and aggregations • Handling missing data • Merge/join datasets • Create charts ✅6. Business Acumen & Communication Key Skills: • Ask the right questions • Translate data into insights • Storytelling with data • Build dashboards with KPIs • Communicate with non-tech stakeholders ✅7. Tools to Know • Excel / Google Sheets • SQL (MySQL, PostgreSQL, etc.) • Tableau / Power BI • Python / R • Jupyter / VS Code 👍 Tap ❤️ for more!