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Data Preparation in Data Science

Track :

Computer Science

Lessons no : 8

For Free Certificate After Complete The Course

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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

Data Science Life Cycle | Data Science Life Cycle Project | Data Science Project | Part 1

Data Science Life Cycle | Data Science Life Cycle Project | Data Science Project | Part 1

CRISP DM | Business Understanding in Data Science | Data Science Methodology | Part 2

CRISP DM | Business Understanding in Data Science | Data Science Methodology | Part 2

CRISP DM Data Understanding | Data Understanding in Data Science | Data Science Methodology | Part 3

CRISP DM Data Understanding | Data Understanding in Data Science | Data Science Methodology | Part 3

CRISP DM | Data Preparation in Data Science | Data Science Methodology | Part 4

CRISP DM | Data Preparation in Data Science | Data Science Methodology | Part 4

Data Science Life Cycle Project | Feature Engineering | Feature Engineering in Data Science Part 5

Data Science Life Cycle Project | Feature Engineering | Feature Engineering in Data Science Part 5

CRISP DM | Data Science Life Cycle Project | Model Development in Data Science | Part 6

CRISP DM | Data Science Life Cycle Project | Model Development in Data Science | Part 6

CRISP DM | Steps in Model Evaluation | Best Practices for Evaluating a Model | Part 7

CRISP DM | Steps in Model Evaluation | Best Practices for Evaluating a Model | Part 7

CRISP DM | Model Deployment and Monitoring in Production | Machine Learning Model | Part 8

CRISP DM | Model Deployment and Monitoring in Production | Machine Learning Model | Part 8

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2026-05-07

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good and clear explaination

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2026-04-19

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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.