How to Convert Data Analysis Project into Docker Image & Publish 2026 Colorado Sales Data Docker D

In this video, you’ll learn how to convert a Colorado sales data analysis project into a Docker image and publish it easily in 2026.
This tutorial is designed for data analysts, Python users, and DevOps beginners who want to containerize their projects.

🔹 What you’ll learn in this video:
✔ Overview of Colorado sales data analysis project
✔ Required files for Dockerizing a data analysis project
✔ How to create a Dockerfile (step by step)
✔ Build Docker image for Python data analysis
✔ Test the Docker container locally
✔ Push & publish Docker image to Docker Hub
✔ Real-world use case for DevOps & data science

This is a must-watch tutorial if you’re learning Docker, DevOps, Python, Pandas, or data analytics deployment.

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🧭 Video Flow / Chapters (Easy Explanation)

1️⃣ Introduction to Colorado Sales Data Analysis
2️⃣ Project Folder Structure
3️⃣ Requirements.txt Explanation
4️⃣ Writing Dockerfile (Simple)
5️⃣ Building Docker Image
6️⃣ Running Container & Output Check
7️⃣ Publishing Image to Docker Hub
8️⃣ Final Demo & Use Cases

colorado-sales-analysis/
│── analysis.py
│── sales_data.csv
│── requirements.txt
│── Dockerfile

FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
CMD ["python", "analysis.py"]

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