Data Cleaning and Preparation

Type of course:

Digital learning, Lesson

Language:

Duration:

10 minutes

Workload:

2 hours

Proficiency:

Beginner

Target:

Professionals

This nugget comprises the “Data Preparation” stage of the CRISP-DM methodology, an essential moment for data mining projects. Over the course of this presentation, we will explore how this pivotal role ensures the success of a data analysis project. Formative assessment is presented in the end to support the student’s comprehension of the materials.

Learning outcomes

Students will recognize the role of data cleaning and preparation in the success of a data analysis project and how data quality impacts downstream analysis.
Students will recognize that the Data Preparation stage involves transforming raw data into a clean, structured format, setting the foundation for advanced analytics and machine learning.
Students will identify techniques for data cleaning, data transformation, and learn the concept of feature engineering.