University · Computer Science · Data Science and Big Data Technologies
Introduction to Data Science: Data Lifecycle, Process Models, and Tools
4 Abschnitte1 Karteikarten-Decks1 Quizze
An interdisciplinary introduction to Data Science covering the CRISP-DM process model, the full data lifecycle from collection to deployment, the Python ecosystem, Jupyter Notebooks, and reproducibility best practices.
Inhaltsübersicht
- Data Science as an Interdisciplinary Field and the CRISP-DM Process Model
- The Data Lifecycle: From Collection to Deployment
- The Python Ecosystem for Data Science
- Jupyter Notebooks, Reproducible Analyses, and Data Sources
📚 Vollständiges Lernmaterial mit 4 Abschnitten, Karteikarten und Quizzen verfügbar nach Anmeldung.
Jetzt kostenlos lernen →Related Topics
- Data Preprocessing: Cleaning, Transformation, and Feature Engineering
- Big Data Fundamentals: The Hadoop Ecosystem, MapReduce, and Distributed File Systems
- Apache Spark: Distributed Data Processing, DataFrames, and Machine Learning Pipelines
- Stream Processing and Real-Time Data Processing: Kafka, Flink, and Event-Driven Architecture
- Data Visualization and Dashboards: Principles, Tools, and Data Storytelling
Interaktiv lernen mit Karteikarten & Quizzen
Melde dich an und lerne Data Science and Big Data Technologies mit intelligenten Wiederholungen, Quizzen und KI-Lernhilfen. 7 Tage kostenlos.
Kostenlos testen