Beyond Jupyter Notebooks

Description

In this course, you will learn :

• Docker
• Data Science
• Jupyter
• Python
• Data Analysis
• Data Visualization
• Open Source

Syllabus :

1. Analyze your Data (Jupyter/Docker)

• How to install Docker?
• Starting Jupyter
• Mapping Ports
• Running in detached Mode
• Facing a Persistence Problem
• Solving the Persistence Problem

 

2. Visualize your Data (Superset)

• Starting Superset
• Prepare Data
• Charts and Dashboards

 

3. Store your structured Data (Postgres)

• Starting Postgres
• Facing an Access Problem
• Docker-Compose
• Solving the Access Problem
• Create a Custom User

 

4. Store your unstructured Data (Minio)

• Starting Minio
• GUI Interaction
• Programmatic Interaction

 

5. Expose your Model (API-Star)

• Starting API-Star
• API-Star and Docker
• Docker Enhancements

 

6. Automate your Analysis (Airflow)

• Basic Concepts
• Starting Airflow
• DAG Creation

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