In diesem zweistündigen Projekt wirst du eine gründliche Analyse einer Zeitreihe mithilfe eines ARIMA-Modells durchführen. Dieses Projekt erklärt die grundlegenden Konzepte von Zeitreihenanalyse und illustriert dies praktisch in RStudio. Wir beschreiben die Arten von Zeitreihen und ihre verschiedenen Komponenten. Das Projekt deckt ab, wie man diagnostische Tests durchführt, um die grundlegenden Vorraussetzungen für ARIMA-Modelle zu testen. Schließlich leiten wir das beste Modell ab, um zukünftige Werte vorherzusagen. Wir werden gemeinsam die grundlegenden Pakete und Funktionen in R durchgehen, um Zeitreihenanalyse einfach zu machen. Du benötigst für dieses Projekt keine Vorkenntnisse! Wir werden alles Schritt für Schritt erklären.
Einführung in Zeitreihenanalyse mit R
Taught in German
Instructor: Sandro Raabe
Included with
Guided Project
What you'll learn
Zeitreihen mithilfe von ARIMA modellieren
zukünftige Werte von Zeitreihen vorhersagen
verstehen, warum Zeitreihenmodelle und deren Methodiken ein wichtiges Werkzeug für jeden Data Scientist sind
Skills you'll practice
Details to know
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Guided Project
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Überblick über Zeitreihen
Zeitreihenkomponenten
Die Komponenten einer Zeitreihe kennen und extrahieren.
Voraussetzungen für ARIMA-Modelle
Modell trainieren
Vorhersagen erzeugen
Capstone Task (optional)
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Instructor
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Frequently asked questions
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
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