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Data Preparation in Data Science

Track :

Computer Science

Lessons no : 8

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What will you learn in this course?
  • Master data cleaning techniques to improve accuracy and reliability in data analysis and modeling
  • Apply data transformation methods to enhance data quality and consistency for machine learning projects
  • Utilize data normalization and scaling to optimize model performance and predictive accuracy
  • Implement data validation and error detection to ensure integrity and completeness of datasets
  • Develop efficient data preprocessing workflows to streamline data science projects and reduce processing time
  • Evaluate and select appropriate data preparation tools and techniques for various data types and analysis needs

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Lessons | 8


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Data Preparation course, In this course we'll explore techniques and best practices for cleaning, transforming, and optimizing data for analysis and modeling.