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    HomePython for Data ScienceData Wrangling and Transformation

    Data Wrangling and Transformation

    A course by
    Data Science Dojo
    February, 2025 8 lessons English

    Before data can be analyzed, it needs to be clean, structured, and ready for use. This module covers essential data wrangling techniques to handle missing values, remove duplicates, merge datasets, reshape data, and manipulate text. By mastering these skills, we can ensure data quality, streamline analysis, and extract meaningful insights from raw information. Effective data wrangling is a crucial step in any data science workflow, making our datasets reliable and analysis-ready.

    What you'll learn

    • Apply techniques to handle missing and duplicate values in a dataset.
    • Evaluate best practices for data processing, transformation, and cleaning.
    • Integrate data from multiple sources and perform necessary transformations.
    • Implement string manipulation methods to clean and modify text data.

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