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Code Keys/PySpark Academy/Module 11
PYSPARK ACADEMY • MODULE 11

GROUP BY

Group records across single or multiple dimensions, compute multi-metric summaries with agg(), and apply conditional group calculations.

Intermediate📚 8 Lessons⭐ 0 / 3390 XP⏳ In Progress
0 / 8 Lessons Completed (0%)
CHALLENGE CURRICULUM

Module Lessons

0 / 8 Complete
LESSON 81

🔓 Basic Grouping with groupBy()

⏱ 2 Mins • ⭐ 380 XP • Intermediate

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LESSON 82

🔒 Multi-Column Group Counts

⏱ 2 Mins • ⭐ 390 XP • Intermediate

LESSON 83

🔒 Segment Totals with sum()

⏱ 2 Mins • ⭐ 400 XP • Intermediate

LESSON 84

🔒 Category Benchmarks with avg()

⏱ 2 Mins • ⭐ 410 XP • Intermediate

LESSON 85

🔒 Multi-Dimensional Group Aggregation

⏱ 2 Mins • ⭐ 420 XP • Intermediate

LESSON 86

🔒 Custom Multi-Metric Aggregations with agg()

⏱ 2 Mins • ⭐ 440 XP • Intermediate

LESSON 87

🔒 Conditional Aggregations per Group

⏱ 3 Mins • ⭐ 460 XP • Intermediate

LESSON 88

🔒 Business Dimension Summary Pipeline

⏱ 3 Mins • ⭐ 490 XP • Intermediate

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