Data Cleaning and Transformation
Data Science · University of Applied Sciences · Data Analysis and Visualization
This unit introduces techniques for cleaning and transforming data, including handling missing values, outliers, and data inconsistencies. Students will learn about data normalization and standardization to prepare data for accurate analysis and visualization.
Zum Üben gibt es 51 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Types of missing values
- Methods for handling missing values
- Identification and treatment of outliers
- Data normalization techniques
- Data standardization techniques
- Applications of data cleaning and transformation in data analysis
- Evaluation of data cleaning and transformation methods
Stichworte
- Data Cleaning
- Data Transformation
- Missing Values
- Outliers
- Data Normalization
- Data Standardization
- Data Preparation
- Data Analysis
- Data Visualization