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Code Keys/PySpark Academy/Module 09
PYSPARK ACADEMY • MODULE 09

Handling NULL Values

Identify null values, filter valid records, impute default values with fillna(), drop corrupted rows, and select the first valid value with coalesce().

Intermediate📚 8 Lessons⭐ 0 / 2900 XP⏳ In Progress
0 / 8 Lessons Completed (0%)
CHALLENGE CURRICULUM

Module Lessons

0 / 8 Complete
LESSON 65

🔓 Identifying Missing Data with isNull()

⏱ 2 Mins • ⭐ 320 XP • Intermediate

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LESSON 66

🔒 Filtering Valid Rows with isNotNull()

⏱ 2 Mins • ⭐ 330 XP • Intermediate

LESSON 67

🔒 Imputing Defaults with fillna()

⏱ 2 Mins • ⭐ 340 XP • Intermediate

LESSON 68

🔒 Dropping Corrupted Rows with dropna()

⏱ 2 Mins • ⭐ 350 XP • Intermediate

LESSON 69

🔒 First Non-Null Selection with coalesce()

⏱ 2 Mins • ⭐ 360 XP • Intermediate

LESSON 70

🔒 Conditional NULL Handling with when()

⏱ 2 Mins • ⭐ 370 XP • Intermediate

LESSON 71

🔒 Automated Data Quality Null Audit

⏱ 3 Mins • ⭐ 400 XP • Intermediate

LESSON 72

🔒 Production Robust NULL Sanitation Pipeline

⏱ 3 Mins • ⭐ 430 XP • Intermediate

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