Data Cleaning and Preparation
Data Science · University of Applied Sciences · Data Science Foundations
This unit introduces the fundamental techniques for cleaning, transforming, and preparing data for analysis. Students will learn how to handle missing values, outliers, and other data quality issues, as well as how to transform data into a format suitable for analysis.
Zum Üben gibt es 57 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Data quality assessment
- Missing value imputation
- Outlier detection and treatment
- Data normalization and standardization
- Data transformation techniques
- Data integration and merging
- Data reduction techniques
Stichworte
- Data Cleaning
- Data Preparation
- Data Quality
- Missing Values
- Outliers
- Data Transformation
- Data Analysis