SQL Interview Questions for Insight Analysts
Ace your insight analyst interviews with this comprehensive SQL course, focusing on practical problem-solving and efficient query design.
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SQL Fundamentals for Data Analysis
Unit 1: Introduction to SQL and Databases
What is SQL?
Database Basics
Setting Up Your Env
SQL Syntax: SELECT
SQL Syntax: FROM
Unit 2: Filtering and Sorting Data
WHERE Clause Deep Dive
Sorting with ORDER BY
Limiting Results
NULL Values
DISTINCT Values
Unit 3: Aggregating Data
Aggregate Functions
GROUP BY Clause
HAVING Clause
Real-World Aggregations
Combining It All
Unit 4: Joining Tables
Intro to Joins
INNER JOIN
LEFT JOIN
RIGHT JOIN
FULL OUTER JOIN
Advanced SQL Techniques for Insight Analysts
Unit 1: Common Table Expressions (CTEs)
Intro to CTEs
Single CTEs
Multiple CTEs
Recursive CTEs
CTEs vs. Temp Tables
Unit 2: Window Functions
Window Functions Intro
Ranking Functions
Value Functions
Aggregate Functions
Partitioning Data
Unit 3: Subqueries
Subquery Fundamentals
Subqueries in WHERE
Subqueries in SELECT
Subqueries in FROM
Correlated Subqueries
Unit 4: Cohort Analysis
Cohort Definition
Retention Analysis
Activity Analysis
Cohort Comparison
Advanced Cohort
Unit 5: Trend Identification
Time Series Data
Moving Averages
Seasonal Decomposition
Regression Analysis
Anomaly Detection
Unit 6: Data Types and Formats
JSON Data
Geospatial Data
Date and Time
String Manipulation
Data Type Conversion
SQL Optimization and Performance Tuning
Unit 1: Understanding Query Execution Plans
Intro to Query Plans
Reading Query Plans
Plan Analysis: Table Scans
Plan Analysis: Joins
Plan Analysis: Filtering
Unit 2: Indexing Strategies
Intro to Indexing
Choosing Index Columns
Composite Indexes
Index Maintenance
When NOT to Index
Unit 3: Rewriting Inefficient SQL
Subqueries vs. Joins
Using EXISTS Efficiently
Optimizing LIKE clauses
Optimizing DISTINCT
Limit Data Transfer
SQL for A/B Testing and Statistical Analysis
Unit 1: A/B Testing Fundamentals with SQL
A/B Testing Overview
Experiment Setup in SQL
Calculating Key Metrics
Comparing Variants
Data Sanity Checks
Unit 2: Statistical Significance in SQL
Hypothesis Testing Intro
Calculating P-Values
T-Tests in SQL
Chi-Squared Tests in SQL
Interpreting Results
Unit 3: Confidence Intervals with SQL
Confidence Intervals Intro
Calculating Intervals
Bootstrapping in SQL
Visualizing Intervals
Sample Size Impact
Unit 4: Communicating Results
Presenting to Stakeholders
Visualizations
Explaining SQL Logic
Assumptions and Limitations
Actionable Insights