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.
- 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.
Prabhakaran SPrincipal Data Scientist
Included in All-Access, one membership for every course.
- Lessons
- 23, in 5 chapters
- Video
- 1 h 57 min
- Free to watch
- 3 lessons
- Certificate
- On completion
What you'll be able to do
- Introduction to Docker for Data Science
- Building Custom Docker Images
- Managing Isolated Environments
- Handling Data in Containers
- Hands on codes and Practical Applications
Course content
5 chapters · 23 lessons · 1 h 57 min · 3 free to preview
01Introduction to Docker5 lessons · 16 min
- Need for DockerPreview2:43
- Download Resources1:00
- How Containers Solve the ProblemPreview2:57
- Docker Vs Virtual MachinesPreview5:02
- Docker Image vs Docker Container4:30
02Project 1: Basic Python App4 lessons · 23 min
- Installing Docker7:05
- Dockerfile5:32
- Base Images2:51
- Build image and run container7:33
03Project 2: Containerize Flask App5 lessons · 28 min
- Local Flask App5:00
- Containerizing the flask app10:15
- Interact with Container3:23
- Push to Docker Hub6:53
- Assignment2:51
04Docker Networking3 lessons · 22 min
- Introduction to Docker Networking5:43
- Project Description2:36
- Implementation13:11
05Docker Compose6 lessons · 29 min
- Introduction to Docker Compose3:30
- Understanding YAML3:38
- Docker Compose Demo1:43
- Docker Compose Code Demo11:57
- Assignment 22:25
- Assignment Solution5:38
What you need
- Basics of Python
- Foundational knowledge of Data Science
- High school maths
Who this course is for
- Data Science Aspirants
- Data Science Professionals
- Software/Data engineers interested in quantitative analysis
- Professionals working with large datasets
- Data analysts, economists, researchers
Your instructor
Prabhakaran S
Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this course!
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 and 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 on-the-job experience. Hope you love it!
- from 3,965 ratings
- 4.92
- learners
- 57K+
- courses
- 85
Questions
How do I get this course?
It is part of All-Access: one membership that opens all 85 courses. The plans and prices are on our course site. You can watch the free preview lessons before you join.
Can I get a refund?
Yes. If the membership is not right for you, ask for a refund within 30 days of your first payment.
Can I learn on my phone?
Yes. Lessons play in the browser on any phone, tablet or computer, and your place is saved for the next device.
I am already a member. Where are my courses?
On our course site, edu.machinelearningplus.com. Sign in there with the email you joined with. The courses move to this site later, with your access, and you will not pay again.
