Data Engineering

3 Ways to Deal with Outliers or Missing Values in a Data Set

Need help in dealing with outliers or missing values in your data set? Let’s talk!

Here are 3 techniques you can use to clean a data set: Removing duplicates, Handling missing values & Standardizing and normalizing your data.

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I would like to share my top 3 skills I look for in hiring Data Engineers: 1. SQL 2. Dimensional Modeling 3. Entrepreneurial Mindset