Docker for Data Science
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Docker for Data Science

  • Master containerization to streamline data science workflows with ease and efficiency.
  • Learn to build, deploy, and scale data science applications in isolated, reproducible environments.
  • Get hands-on skills in Docker Compose, image optimization, and collaborative project setups.

Created by Selva Prabhakaran

  • 23 Video Lessons

  • English

  • English captions

What you will learn

01

Introduction to Docker for Data Science

02

Building Custom Docker Images

03

Managing Isolated Environments

04

Handling Data in Containers

05

Hands on codes and Practical Applications

Course Curriculum

Requirements

  • Courses Page1 Basics of Python
  • Courses Page1 Foundational knowledge of Data Science
  • Courses Page1 High school maths

Who should attend this course?

  • Data Science Aspirants

  • Data Science Professionals

  • Software/Data engineers interested in quantitative analysis

  • Professionals working with large datasets

  • Data analysts, economists, researchers

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

  • 4.5+Instructor rating

  • 200+ reviews

  • 75K+students

  • 50+ Courses