Data Science on AWS: SageMaker Notebooks & Tools

Data Science

Data Science

Data science is a field that combines statistics, computer science, and domain expertise to extract insights from data. It involves multiple disciplines, including data mining, machine learning, and big data analytics. The goal is to uncover patterns and develop predictions based on data.

More”,unlocking-insights-the-power-of-data-science/” style=”color:#0073aa;text-decoration:none;”>Data Science Tools on AWS: Jupyter

Key Components

Developer laptop setup
Developer laptop setup

Data Collection

Data science starts with gathering data from various sources. This can include databases, online repositories, and even IoT devices. The quality and quantity of data collected are critical for accurate analysis.

Data Cleaning

Raw data usually contains errors and inconsistencies. Cleaning this data involves removing duplicates, filling in missing values, and correcting inaccuracies. This step ensures the data is usable for analysis.

Jennifer Walsh

Jennifer Walsh

Author & Expert

Jason Michael is the editor of Team AWS. Articles on the site are researched, fact-checked, and reviewed by the editorial team before publication. Read our editorial standards or send a correction at the editorial policy page.

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