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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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216 Reviews

Keerthana.M

Good
2026-05-07

gajeshwari datta jadhav

GOOD
2026-05-02

Janhavi Goun

Good
2026-05-02

Chittela Shruthi

good and clear explaination
2026-05-01

ADEPU RAVALI

Good explanation
2026-04-24

Bhagyashri Mahadeo Kunbithop

I have lot from this course
2026-04-24

Alaika Alfi Hasani

nice course
2026-04-23

Prabhavathi U

Good
2026-04-22

jaya sooriya

very nyc
2026-04-19

REDEIT HUSSEN DAWUD

GOOD
2026-04-17

Mehdi Nezhadfarhani

Super
2026-04-01

Muhammad Arham

best
2026-03-17

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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.