Download Udemy - Top 101 Data Analyst Interview Questions - Concepts and KPIs torrent

Udemy - Top 101 Data Analyst Interview Questions - Concepts and KPIs

Torrent:	Udemy - Top 101 Data Analyst Interview Questions - Concepts and KPIs
Description:	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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Show Files »	[ WebToolTip.com ] Udemy - Top 101 Data Analyst Interview Questions - Concepts and KPIs Get Bonus Downloads Here.url (0.2 KB) ~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. 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) 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 (30.0 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 (30.0 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 (28.0 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 (29.0 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 (28.0 MB) 52. Retention metrics D1, D7, D30.mp4 (29.3 MB) 53. Churn definition and measurement choices.mp4 (29.0 MB) 54. ARPU and ARPA what do they mean.mp4 (31.0 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 (30.0 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 (34.0 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 (31.0 MB) 101. Building an analytics project from question to impact.mp4 (34.2 MB) files
Added:	2026-02-27 21:45:11
Language:	English
Peers:	Seeders : 28 , Leechers : 16
Tags:	IT & Software Data Analysis Udemy
Release name:	Udemy - Top 101 Data Analyst Interview Questions - Concepts and KPIs
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