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Bookmark or Share- What is Data Preparation? An In-Depth Guide - TechTargetData preparation is the process of gathering, combining, structuring and organizing data for use in business intelligence, analytics and data science applications. This comprehensive guide to data preparation further explains what it is, how to do it and the benefits it provides in organizations.
- Prepare Data for Exploration - CourseraData analysts know how to ask the right question; prepare, process, and analyze data for key insights; effectively share their findings with stakeholders; and provide data-driven recommendations for thoughtful action.
- What is Data Preparation? - Data Preparation Explained - AWSLearn what data preparation is, why it is important for machine learning, and how to do it with AWS tools. Data preparation involves collecting, cleaning, labeling, and visualizing data from various sources and formats.
- Data Preparation Steps for Analytics: An In-depth Guide - ThinkMLLearn what data preparation is, why it is important, and how to do it in six steps: collection, profiling, cleaning, structuring, transformation, and visualization. This article explains the concepts, methods, and tools for data preparation with examples and tips.
- What Is Data Preparation? + 9 Steps For Effective Data Prep - AsteraData preparation (also known as data prep) is the essential process of refining raw data to make it suitable for analysis and processing. Raw data, which is filled with errors, duplicates, and missing values, impacts data quality and, ultimately, data-driven decision-making.
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