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Preprocess Data with the scikit-learn Python Package

In this lab, we will load a dataset from a SQLite database into a pandas DataFrame. Once loaded, we will standardize the dataset using the `StandardScaler()` method and write it to a new table within the SQLite database. Basic Python programming skills will be required for this lab. If you need a refresher, check out the following course: - [Certified Associate in Python Programming Certification](https://acloud.guru/overview/8169e8e7-91a7-4d92-b278-4dd08c787dc6)

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Path Info

Level
Clock icon Intermediate
Duration
Clock icon 30m
Last updated
Clock icon Aug 23, 2025

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Table of Contents

  1. Challenge

    Load the Data

    Load the data from the provided SQLite database (data.db) into a pandas DataFrame object.

  2. Challenge

    Scale the Data

    Use the StandardScaler() method of the scikit-learn preprocessing package to scale the data such that the distribution is now centered around 0, with a standard deviation of 1.

  3. Challenge

    Save the Data

    Write the scaled dataset to a new table named data-scaled in the SQLite database.

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Pluralsight Skills

Pluralsight Skills gives leaders confidence they have the skills needed to execute technology strategy. Technology teams can benchmark expertise across roles, speed up release cycles and build reliable, secure products. By leveraging our expert content, skill assessments and one-of-a-kind analytics, keep up with the pace of change, put the right people on the right projects and boost productivity. It's the most effective path to developing tech skills at scale.

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