Overview
Curriculum
Data cleaning is the process of identifying and correcting or removing errors, inconsistencies, and irrelevant information from a dataset. The goal of data cleaning is to prepare the data for further analysis, modeling, or visualization by ensuring that it is accurate, consistent, and relevant.
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Build foundational Python skills and theory to succeed in bootcamp and practical applications.
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11 Lessons
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Explore, visualize, and transform data to enhance analysis, handle issues, and improve modeling.
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13 Lessons
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Transform raw data into impactful visuals using pandas, matplotlib, and seaborn for clear communication.
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Learn to build predictive models that drive business impact while addressing data and ethical considerations.
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