Overview
Curriculum
Data transformation is a process of modifying and converting raw data into a clean, structured, and organized format that is ready for further analysis and modeling. This process can involve several different steps such as merging data from multiple sources, reshaping the data to make it consistent, and grouping data to help reveal patterns and insights. The end result is a dataset that is standardized, optimized, and well-suited for statistical modeling and other types of data analysis.
Courses you might be interested in
Build foundational Python skills and theory to succeed in bootcamp and practical applications.
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11 Lessons
$100.00
Explore, visualize, and transform data to enhance analysis, handle issues, and improve modeling.
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13 Lessons
$100.00
Transform raw data into impactful visuals using pandas, matplotlib, and seaborn for clear communication.
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12 Lessons
$100.00
Learn to build predictive models that drive business impact while addressing data and ethical considerations.
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8 Lessons
$100.00