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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
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English
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English captions
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Course Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts
What you will learn
01
Introduction to Docker
Introduction to Docker
for Data Science
02
Building Custom Docker Images
03
Managing Isolated
Managing Isolated
Environments
04
Handling Data in
Handling Data in
Containers
05
Hands-on codes and Practical Applications
Course Curriculum
5 Modules | 23 Sessions | 2 hour 11 min Total Time
Introduction to Docker
Sessions: 5 | Time: 17 min
Project 1: Basic Python App
Sessions: 4 | Time: 24 min
Project 2: Containerize Flask App
Sessions: 5 | Time: 28 min
Docker Networking
Sessions: 3 | Time: 32 min
Docker Compose
Sessions: 6 | Time: 30 min
Requirements
- Basics of Python
- Foundational knowledge of Data Science
- High school maths
Who should attend this course?
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Data Science Aspirants
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Data Science Professionals
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Professionals working with large datasets
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Software/Data engineers interested in quantitative analysis
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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!
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4.5+Instructor rating
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200+ reviews
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10K+students
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15+ Courses
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Workshop Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts