Data Pre-Processing
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Skill Level
4 Hours
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Set Up & Introduction
In order to get started, make sure you have your environment set up. In order to do this, I recommend referencing these links:
- You can download Python here.
- Most Python code written here will be written on a Jupyter Notebook. You can reference this guide on Jupyter’s site for installation. Google Colab works as well.
- Some important libraries we’ll be using for data preprocessing include pandas, numpy, matplotlib, and seaborn. All of which can be installed following these guidelines.
- You can download the CSV file we’ll be referencing here.
Completing this course will help you:
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Who is the course for?
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Learning Path
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The SELECT command is where we put the attributes we’re hoping to retrieve, the FROM command is used to signify which table we plan on selecting our attributes from, the * means “all”, and a WHERE command is used to provide a condition to determine which specific entries from those columns we hope to retrieve. Here’s an example of one of these queries.
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