Tips and tricks for building great data science content
Instructed by: Isaac Faber | Subject: IT & Software, Data Science
Instructed by: Isaac Faber | Subject: IT & Software, Data Science
Description
A short (free) course for anyone who will be or is interested in teaching data science. Everything from semester-long college level courses to one video tutorials will benefit from the topics covered here. The goal of the course is to provide a growing list of resources and best practices for instructors. Topics will include: The Data Science Process Development Environments Datasets: Size, Complexity, and Quality Assignments, Homework, and Projects Who this course is for: Data scientists and Machine Learning Engineers who want to share their knowledge with the world.
@https%3A%2F%2Fwww.udemy.com%2Fteaching-data-science%2F%3Futm_medium=linkshare
Course Info
- 17 Lectures
- 1.5 Hours
- Language: English
- Subject: IT & Software, Data Science
- Instructed by: Isaac Faber
- Platform: Udemy