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Data Preparation in Data Science Course

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

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
Good		104 Reviews
medium		13 Reviews
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4.4

238 Reviews

Krushana Jamdhade

Good
Cors

2026-08-08

Eman amer

good

2026-07-24

Vedika kushwah

Excellent course 👍

2026-07-18

Noorain Khalil Charfare

great

2026-07-18

Sudin Shrestha

Great 👍

2026-07-02

anurag bhadane

nice lecture

2026-07-01

Ladele Oluwaseun kolawole

Good

2026-06-21

Mac Electronics

Great to be here

2026-06-17

Chepuri Akshaya

Good teaching

2026-06-10

Akshara Gajula

Good explanation.

2026-06-08

Ashutosh Kumar

Awesome

2026-06-03

Elmegrace Am-is

The course was very informative and engaging. It provided a clear understanding of data preparation in data science and helped enhance my knowledge of the essential processes involved in handling and organizing data. The lessons were well-structured, practical, and easy to follow.

2026-06-03

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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.