Data Science Process
Continuing Education · Further Education · Data Science and Analytics
This unit introduces the data science process, which involves data collection, preparation, exploration, model building, evaluation, and deployment. Students will learn the key steps involved in each phase of the process and how to apply them to real-world data science projects.
Zum Üben gibt es 55 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Data collection methods
- Data preparation techniques
- Data exploration techniques
- Machine learning algorithms
- Model evaluation metrics
- Model deployment strategies
Stichworte
- Data Science Process
- Data Collection
- Data Preparation
- Data Exploration
- Model Building
- Model Evaluation
- Model Deployment