Data Orchestration with Prefect

Master data orchestration using Prefect to streamline workflows and enhance data management in your projects.

loading

A new way to learn

Combine the power of AI with expert-curated content for a personalized learning experience

Curated content

Selected resources from platforms like YouTube, the best posts, and more

AI-Powered

Personalized content using advanced AI to adapt to your learning style and pace

Interactive notes

Take notes, highlight key concepts, and create your own study materials

Visual learning

Watch video tutorials and visualize concepts through interactive diagrams

What You'll Learn

How to install and set up Prefect
Creating and managing data flows
Integrating Prefect with cloud services
Monitoring and debugging workflows
Best practices for data orchestration

Course Content

20 topics

Understanding Data Orchestration
Preview
Overview of Prefect
Preview

Requirements

• Basic understanding of Python programming
• Familiarity with data science concepts
• Experience with data manipulation libraries (e.g., Pandas)
• Knowledge of cloud services (AWS, GCP, or Azure)
• Access to a computer with internet for hands-on labs

Target Audience

Data scientists, data engineers, and analysts looking to improve their data workflow management skills.

More in Data Science

Hugging Face for Solopreneurs

24 topics6.0h
Natural Language Processing

Master Machine Learning: 10 Real Projects

14 topics3.5h
Machine Learning

Mastering Apache Spark with Scala

10 topics2.5h
Apache Spark