This unit introduces data cleaning techniques to handle missing values, outliers, and inconsistencies. It also covers data transformation methods for feature engineering, enabling students to prepare data for effective analysis in big data applications. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Introduction to Big Data Analytics
• Definition and Overview of Big Data
• Data Preprocessing and Cleaning
• Big Data Analytics Process
• Exploratory Data Analysis
• Challenges and Opportunities of Big Data
• Statistical Modeling for Big Data
• Data Sources and Collection Methods