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CodeSignal

Advanced Queries

via CodeSignal

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Overview

Master complex queries with aggregations, path traversal, and pattern matching. **Note:** This course uses social network data and progresses to movie recommendation scenarios in the final unit.

Syllabus

  • Unit 1: Aggregating Data in Neo4j
    • Exploring City User Populations
    • Analyzing Age Demographics Across Cities
    • Age Ranges Across Cities
    • Gathering Friends into Lists
    • Multi Dimensional User Distribution
  • Unit 2: Finding Patterns in Graphs
    • Discovering Second Degree Connections
    • Filtering Out Unwanted Recommendations
    • Debugging Repeated Recommendations
    • Quantifying Mutual Connections
    • Completing the Recommendation Engine
  • Unit 3: Multi Hop Traversal
    • Exploring Degrees of Separation
    • Finding Friends of Friends
    • Visualizing Paths Between Users
    • Prioritizing Direct Connections
    • Catching a Performance Trap
  • Unit 4: Shortest Paths in Neo4j
    • Completing Your First Path Query
    • Extracting Names from Path Results
    • Measuring Degrees of Separation
    • Finding Paths Between Different Users
    • Building Comprehensive Path Reports
  • Unit 5: Complex Pattern Matching
    • Discovering Shared Interests Among Friends
    • Movies from Users Like You
    • Personalized Recommendations with Multiple Filters

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