| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - 1. Data Analyst Interview Foundations | |||
| 1. What does a Data Analyst do day-to-day.mp4 | 30.3 MB | ||
| 10. What is ETL and why does it matter to analysts.mp4 | 30.4 MB | ||
| 2 - 2. SQL Basics for Data Analysts | |||
| 11. How do you write a basic SELECT query.mp4 | 24.7 MB | ||
| 12. WHERE vs HAVING when to use each.mp4 | 27.9 MB | ||
| 13. GROUP BY and aggregation basics.mp4 | 26.6 MB | ||
| 14. INNER JOIN vs LEFT JOIN.mp4 | 27.6 MB | ||
| 15. Handling NULLs in SQL.mp4 | 27.1 MB | ||
| 16. COUNT( ) vs COUNT(DISTINCT).mp4 | 27.2 MB | ||
| 17. CASE WHEN for categorization.mp4 | 25.9 MB | ||
| 18. Filtering by date ranges.mp4 | 27.7 MB | ||
| 19. Debugging a SQL query that returns wrong counts.mp4 | 28.3 MB | ||
| 20. What is DISTINCT and when is it risky.mp4 | 25.1 MB | ||
| 21. Subquery vs CTE basics.mp4 | 26.3 MB | ||
| 22. UNION vs UNION ALL.mp4 | 27.8 MB | ||
| 3 - 3. Excel & Spreadsheet Skills | |||
| 23. What Excel functions do analysts use most.mp4 | 27.2 MB | ||
| 24. How do you build a Pivot Table for KPI reporting.mp4 | 26.7 MB | ||
| 25. SUMIFS vs COUNTIFS when and why.mp4 | 27.8 MB | ||
| 26. LOOKUPs in Excel XLOOKUP or INDEX-MATCH.mp4 | 26.4 MB | ||
| 27. Data cleaning in Excel text to columns and trimming.mp4 | 27.6 MB | ||
| 28. How do you create an effective chart in Excel.mp4 | 26.3 MB | ||
| 29. How do you audit a spreadsheet for errors.mp4 | 29.6 MB | ||
| 30. When to use Excel vs SQL vs BI tools.mp4 | 29.2 MB | ||
| 4 - 4. Data Cleaning & Data Types Basics | |||
| 31. How do you handle missing data.mp4 | 30 MB | ||
| 32. How do you detect and remove duplicates correctly.mp4 | 28.6 MB | ||
| 33. How do you treat outliers in analysis.mp4 | 29.7 MB | ||
| 34. Categorical vs numerical data why it matters.mp4 | 29.7 MB | ||
| 35. How do you document assumptions and transformations.mp4 | 28.4 MB | ||
| 5 - 5. Descriptive Statistics & Probability | |||
| 36. Mean vs median which would you report.mp4 | 28.2 MB | ||
| 37. Variance and standard deviation in plain English.mp4 | 29.8 MB | ||
| 38. Percentiles and quartiles for performance reporting.mp4 | 30 MB | ||
| 39. Correlation vs causation.mp4 | 29.1 MB | ||
| 40. When to use histogram vs box plot.mp4 | 28.1 MB | ||
| 41. Skewness and why it changes your metric choice.mp4 | 27.9 MB | ||
| 42. Sampling bias and representativeness.mp4 | 29.5 MB | ||
| 43. Central Limit Theorem in practical terms.mp4 | 29.3 MB | ||
| 44. What is a confidence interval and how do you interpret it.mp4 | 28 MB | ||
| 45. How do you choose the right summary statistic.mp4 | 28.4 MB | ||
| 46. Covariance and correlation what is the difference.mp4 | 28.8 MB | ||
| 47. What is a z-score and how do you use it.mp4 | 29.2 MB | ||
| 48. Type I and Type II errors in decisions.mp4 | 29 MB | ||
| 6 - 6. KPI Thinking & Business Metrics | |||
| 49. How do you define a KPI clearly.mp4 | 28.9 MB | ||
| 50. Leading vs lagging indicators.mp4 | 27.4 MB | ||
| 51. Funnel metrics how do you analyze drop-off.mp4 | 28 MB | ||
| 52. Retention metrics D1, D7, D30.mp4 | 29.3 MB | ||
| 53. Churn definition and measurement choices.mp4 | 29 MB | ||
| 54. ARPU and ARPA what do they mean.mp4 | 31 MB | ||
| 55. Customer Lifetime Value basics.mp4 | 29.2 MB | ||
| 56. CAC and payback period.mp4 | 29.1 MB | ||
| 57. Metric trees breaking down a KPI.mp4 | 29.1 MB | ||
| 58. North Star metric and supporting metrics.mp4 | 28.3 MB | ||
| 59. Cohort analysis what it is and why it matters.mp4 | 31.2 MB | ||
| 60. Setting KPI targets and thresholds.mp4 | 28.9 MB | ||
| 7 - 7. Visualization, Dashboards & Storytelling | |||
| 61. How do you choose the right visualization.mp4 | 28.7 MB | ||
| 62. What makes a dashboard trustworthy.mp4 | 30.6 MB | ||
| 63. How do you tell a story with data.mp4 | 27.5 MB | ||
| 64. Avoiding misleading charts and common visualization traps.mp4 | 29.8 MB | ||
| 65. How do you design a KPI dashboard layout.mp4 | 29.8 MB | ||
| 66. Explaining uncertainty and limitations.mp4 | 30.2 MB | ||
| 67. How do you handle conflicting stakeholder interpretations.mp4 | 31.3 MB | ||
| 68. Creating a one-slide executive summary.mp4 | 29.1 MB | ||
| 69. Annotations and context when to add them.mp4 | 30 MB | ||
| 70. Data storytelling with comparisons WoW, MoM, YoY.mp4 | 30.6 MB | ||
| 8 - 8. Experimentation & A B Testing | |||
| 71. How do you design an A B test end-to-end.mp4 | 31.7 MB | ||
| 72. What does statistical significance mean in practice.mp4 | 30.9 MB | ||
| 73. P-value how do you explain it to a stakeholder.mp4 | 29.4 MB | ||
| 74. Power and sample size why tests fail.mp4 | 30.5 MB | ||
| 75. Guardrail metrics and unintended consequences.mp4 | 30.6 MB | ||
| 76. Case DAU dropped yesterday. What do you do.mp4 | 33.5 MB | ||
| 77. Case Conversion rate is down but traffic is up.mp4 | 31.4 MB | ||
| 78. Case Marketing wants ROI for a campaign.mp4 | 32.4 MB | ||
| 79. Case Dashboard numbers do not match Finance.mp4 | 35.1 MB | ||
| 80. Case You suspect a tracking bug.mp4 | 34 MB | ||
| 81. Case A B test is inconclusive.mp4 | 31.7 MB | ||
| 82. Case Build a report for weekly business review.mp4 | 31.6 MB | ||
| 83. Case Customer churn is increasing. Create an analysis plan.mp4 | 34.2 MB | ||
| 84. Case Marketplace imbalance between supply and demand.mp4 | 32.2 MB | ||
| 85. Case Pricing change impact analysis.mp4 | 35.9 MB | ||
| 9 - 10. Advanced SQL & Data Modeling | |||
| 100. Anomaly detection in KPI monitoring.mp4 | 31 MB | ||
| 101. Building an analytics project from question to impact.mp4 | 34.2 MB | ||
| 86. Window functions why and how.mp4 | 32.3 MB | ||
| 87. LAG and LEAD for behavioral analysis.mp4 | 29.9 MB | ||
| 88. Slowly Changing Dimensions in analytics.mp4 | 31.6 MB | ||
| 89. Star schema fact and dimension tables.mp4 | 31.1 MB | ||
| 90. Normalizing vs denormalizing for analytics.mp4 | 31.1 MB | ||
| 91. Query optimization making SQL faster.mp4 | 30.8 MB | ||
| 92. Many-to-many joins and bridge tables.mp4 | 31.4 MB | ||
| 93. Linear regression interpreting coefficients.mp4 | 30.9 MB | ||
| 94. Logistic regression for conversion problems.mp4 | 31.2 MB | ||
| 95. Overfitting and how to prevent it.mp4 | 29 MB | ||
| 96. Feature leakage a common modeling trap.mp4 | 29.8 MB | ||
| 97. Time series forecasting basics for analysts.mp4 | 31.9 MB | ||
| 98. Difference-in-differences for causal questions.mp4 | 31.3 MB | ||
| 99. Clustering for segmentation.mp4 | 30.3 MB | ||
| 2. How do you clarify vague business questions.mp4 | 31.6 MB | ||
| 3. How do you prioritize multiple analysis requests.mp4 | 27.8 MB | ||
| 4. What is the difference between a metric and a KPI.mp4 | 28.2 MB | ||
| 5. How do you ensure data quality before analysis.mp4 | 29.8 MB | ||
| 6. How do you explain insights to non-technical stakeholders.mp4 | 28.3 MB | ||
| 7. What is a dataset, table, row, and column.mp4 | 26.9 MB | ||
| 8. What is data granularity and why is it important.mp4 | 27.3 MB | ||
| 9. What is a primary key and foreign key in analytics.mp4 | 27.3 MB |
Top 101 Data Analyst Interview Questions – Concepts & KPIs
https://WebToolTip.com
Published 2/2026
Created by Bhushan S
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 101 Lectures ( 4h 22m ) | Size: 2.91 GB
Ace data analyst interviews with real questions on SQL, KPIs, dashboards, case studies, business thinking, and analytics
What you'll learn
✓ Confidently answer the top 101 data analyst interview questions using clear structure, logic, and business-focused explanations.
✓ Understand and explain core data analyst concepts including KPIs, metrics, data analysis, dashboards, and business reporting.
✓ Solve real interview scenarios by selecting the right KPIs, interpreting data insights, and explaining business impact.
✓ Avoid common data analyst interview mistakes and structure strong answers for SQL, KPI, dashboard, and case study rounds.
Requirements
● No prior experience required. Basic understanding of data or interest in data analytics is enough to get started.
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