Data Preprocessing and Cleaning
Bachelor of Science in Computer Science · University · Big Data Analytics
This unit focuses on the techniques used to preprocess and clean big data. Students will learn how to identify and remove errors from big data, transform big data into a format that is suitable for analysis, and handle missing data.
Zum Üben gibt es 97 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Types of data errors
- Data error identification techniques
- Data transformation techniques
- Missing data handling techniques
- Data quality best practices
- Challenges and limitations of data cleaning and preparation in big data analytics
Stichworte
- Data Cleaning
- Data Preprocessing
- Data Transformation
- Missing Data Handling
- Data Quality
- Big Data Analytics