Skip to content

E008001/data-science-tutorial

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 

Repository files navigation

Data Science Tutorial

Introducing data science essential training courses which published by Lynda:

  • Data Science Foundations: Fundamentals (with Barton Poulson). Click Here

  • Data Science Foundations: Data Engineering (with Ben Sullins). Click Here

  • Data Science Foundations: Data Mining (with Barton Poulson). Click Here

  • Data Science Foundations: Python Scientific Stack (with Miki Tebeka). Click Here

  • Data Science Foundations: Choosing the Right Database (with Kumaran Ponnambalam). Click Here

  • Learning Data Science: Understanding the Basics (with Doug Rose). Click Here

  • Learning Data Science: Using Agile Methodology (with Doug Rose). Click Here

  • Python for Data Science Essential Training (with Lillian Pierson, P.E.). Click Here

  • Python for Data Science Tips, Tricks, & Techniques (with Ben Sullins). Click Here

  • Amazon Web Services for Data Science (with Lynn Langit). Click Here

  • Data Science Tools of the Trade: First Steps (with Jungwoo Ryoo). Click Here

  • Advanced NoSQL for Data Science (with Dan Sullivan). Click Here

  • Data Science on Google Cloud Platform: Building Data Pipelines (with Kumaran Ponnambalam). Click Here

  • R Programming in Data Science: Setup and Start (with Mark Niemann-Ross). Click Here

  • Deploying Scalable Machine Learning for Data Science (with Dan Sullivan). Click Here
    link link

About

Introducing data science online courses.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published