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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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  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
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Lessons | 8


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164 Reviews

BONDADA KALYAN KUMAR

DRTG
2025-12-31

EZZIANI

It is very interted
2025-12-28

Rohan sen

Very helpful
2025-12-26

Kathir R

I expect more elaborate session
2025-12-26

PAMERA PRANAVI

good
2025-12-24

BHAVYA S

Good
2025-12-22

Benjamin Donkoh

The lesson was helpful; I really studied a lot.
2025-12-22

B-A2-38-AJAY NAIDU Rayankula

Good
2025-12-17

Karishma Anjali

good
2025-12-06

Lakshmi Naga Mohitha Mutyala

good
2025-12-05

DEIVY JULIAN VALENCIA C.C. 1125271495

.
2025-12-03

Keerthana

Very very Useful...Insightful course
2025-12-01

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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.