- Data Manipulation
- Data Quality
- Data Analysis
- Data Cleansing
- Data Validation
- SQL
- Big Data
- Data Transformation
- Snowflake Schema
Data Cleaning in Snowflake: Techniques to Clean Messy Data
Completed by Francesco Barletta
May 23, 2024
2 hours (approximately)
Francesco Barletta's account is verified. Coursera certifies their successful completion of Data Cleaning in Snowflake: Techniques to Clean Messy Data
What you will learn
Use Snowflake UI to identify data quality issues then use SQL String functions to remove unwanted characters and split rows into multiple columns.
Extract dates from Text fields then use SQL date functions for comparisons and calculations.
Identify and correct missing and duplicated data and answer business questions using aggregation statements.
Skills you will gain
