Post #2412

✅ Top 50 Data Analytics Interview Questions – Part 5📊🧠 3️⃣1️⃣ Explain the difference between Mean, Median, and Mode. ⦁ Mean: Average value. ⦁ Median: Middle value when sorted. ⦁ Mode: Most frequent value. 3️⃣2️⃣ What is Variance and Standard Deviation? ⦁ Variance: Average of squared differences from the mean. ⦁ Standard Deviation: Square root of variance. Shows data spread. 3️⃣3️⃣ What is Data Sampling? Selecting a subset of data for analysis. Types: Random, Stratified, Systematic. 3️⃣4️⃣ What are Dummy Variables? Binary variables (0 or 1) created to represent categories in regression models. 3️⃣5️⃣ Difference between SQL and NoSQL? ⦁ SQL: Relational, structured data, uses tables. ⦁ NoSQL: Non-relational, flexible schemas (e.g., MongoDB). 3️⃣6️⃣ What is Data Pipeline? A series of steps to collect, clean, transform, and store data for analysis. 3️⃣7️⃣ Explain the term ETL. ⦁ Extract: Get data from source ⦁ Transform: Clean/modify data ⦁ Load: Store in target database 3️⃣8️⃣ What is Data Governance? Policies and procedures ensuring data quality, privacy, and security. 3️⃣9️⃣ What is Data Lake vs Data Warehouse? ⦁ Data Lake: Stores raw data (structured + unstructured). ⦁ Data Warehouse: Stores structured, processed data for analysis. 4️⃣0️⃣ What are Anomaly Detection techniques? ⦁ Statistical methods ⦁ Machine learning models (Isolation Forest, One-Class SVM) Used to detect unusual patterns or fraud. 💬Tap ❤️ for Part 6!