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  • 👋Welcome to End2End Data Science Project Documentation
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  • Fundamentals
    • 🛠️Getting started
      • 💻Step 1: Github
        • Working with Git & Github
          • Setting up your repository & project
          • Git Branching
          • Push & Pull
          • Pull Request
        • Resources
        • Exercise
      • 💻Step 2: Python Setup
      • 💻Step 3: Conda Environment
        • Working with Conda Environment
        • Resources
      • 💻Step 4: MySQL, Postgres & Oracle DB
        • Quick review on SQL
        • Exercises (Under development)
      • 💻Step 5: Project Setup
      • 💻Step 6: AWS & GCP
        • Automation
      • 📉Step 7: Final Presentation
      • 🚀Step 8: Docker
        • Creating Docker Image
        • Useful Docker commands
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On this page
  • Step 1: Create a new project folder & Conda environment
  • Step 2: Create a new GitHub repo for the project remote & local
  • Step 3: Create a new branch & start coding
  • Step 4: Create PR & merge to production once approved
  1. Fundamentals
  2. Getting started

Step 5: Project Setup

PreviousExercises (Under development)NextStep 6: AWS & GCP

Last updated 1 year ago

Step 1: Create a new project folder & Conda environment

Follow step-by-step instructions from , and return to this page for further steps.

Step 2: Create a new GitHub repo for the project remote & local

Follow step-by-step instructions from , and return to this page for further steps.

Step 3: Create a new branch & start coding 

$ git checkout -b <new-branch-name>

Step 4: Create PR & merge to production once approved

Follow step-by-step instructions from

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