Data Cleaning in Snowflake: Techniques to Clean Messy Data

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In this 2.5-hour guided project, you will learn essential techniques to clean messy data in Snowflake Data Platform. The course is tailored for business analysts and data engineers who are eager to refine their data cleaning skills using SQL functions.

  • Identify common data quality issues and utilize SQL String functions to remove unwanted characters and split rows into multiple columns.
  • Learn to extract dates from text fields and employ SQL date functions for comparisons and calculations.
  • Discover how to identify and correct missing and duplicated data, and effectively answer business questions using aggregation statements.

Throughout the project, you will work on a real example from the field, playing the role of a Data Analyst in the marketing department. By the end of the course, you will be equipped to tackle data quality challenges and provide valuable insights for business decision-making.

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Data Cleaning in Snowflake: Techniques to Clean Messy Data
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