The "8 Weeks SQL Challenge" is a comprehensive set of case studies designed to strengthen SQL skills and provide hands-on experience in solving real-world business problems. Each case study simulates a unique scenario that mimics challenges faced in data analytics, enabling participants to analyze datasets, write SQL queries, and draw meaningful insights.
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SQL Query Writing:
- Writing efficient queries for data filtering, aggregation, and joining tables.
- Using advanced SQL techniques such as window functions, CTEs (Common Table Expressions), and subqueries.
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Data Cleaning:
- Handling missing values, duplicates, and inconsistent data.
- Transforming raw data into analysis-ready formats.
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Data Analysis:
- Identifying trends, patterns, and outliers in datasets.
- Applying business logic to extract actionable insights.
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Performance Optimization:
- Refactoring queries for better execution time.
- Understanding indexing and optimizing joins.
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Problem-Solving Mindset:
- Translating business problems into SQL-driven solutions.
- Communicating findings in a clear and concise manner.
Solutions: PostgreSQL Implementation | SQL Server Implementation
- Objective: Analyze customer behavior to provide insights for increasing loyalty and sales.
- Key Focus: Customer segmentation, purchasing patterns, and loyalty metrics.
Solutions: PostgreSQL Implementation | SQL Server Implementation
- Objective: Optimize pizza delivery operations by analyzing order and runner performance.
- Key Focus: Delivery times, cancellation rates, and operational efficiencies.
Solutions: PostgreSQL Implementation | SQL Server Implementation
- Objective: Understand subscription behavior and churn rates for a food subscription service.
- Key Focus: Customer retention, plan changes, and revenue trends.
Solutions: PostgreSQL Implementation | SQL Server Implementation
- Objective: Analyze financial transaction data to provide insights into customer spending habits.
- Key Focus: Fraud detection, spending categorization, and account activity.
Solutions: PostgreSQL Implementation | SQL Server Implementation
- Objective: Evaluate sales performance and inventory management for a retail business.
- Key Focus: Sales trends, product popularity, and seasonal performance.
Solutions: PostgreSQL Implementation | SQL Server Implementation | ER Diagram
- Objective: Assess the performance of an online ad platform and provide recommendations to improve engagement.
- Key Focus: Click-through rates, campaign effectiveness, and user behavior.
Solutions: PostgreSQL Implementation | SQL Server Implementation
- Objective: Monitor energy usage and suggest energy-saving measures.
- Key Focus: Usage patterns, cost optimization, and environmental impact.
Solutions: PostgreSQL Implementation | SQL Server Implementation
- Objective: Segment customers for a grocery delivery service and personalize marketing efforts.
- Key Focus: Customer segmentation, basket analysis, and purchasing trends.