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Data Preparation in Data Science Course

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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Excellent		116 Reviews
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4.4

238 Reviews

Muskan Mudasir

its good

2026-10-02

Rohit Sharma

This was a really helpful lesson. Understanding the life cycle helps us make accurate observations and connects directly to real-world challenges and problems we face.

2026-09-24

Moussa

Cours Intéressant .

2026-09-22

Prasanta Patra

Vary nice course

2026-09-17

Edwin Lixandro Gómez Rincón

BUEN CURSO

2026-09-16

Kalid Abdu Redi

i am exited

2026-09-16

Kushale Shwara

nice

2026-09-14

RAZA RIZVI

Great

2026-09-05

SAKSHI

gud

2026-09-03

FACELY Konaté

Excellent cours

2026-08-30

JEFFERSON ORE MUCHA

Great

2026-08-28

Samiksha Kushwah

good

2026-08-14

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Data Preparation in Data Science Course Description

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