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Overview
| Duration | 2 hours |
| Difficulty |
|
For
- Domain experts with little knowledge of CS tooling
Other Prerequisites
- Basic python programming skills
Outcomes
- Understanding of common tools and best practices for data science projects
This course on Data Science Utilities is designed to provide you with the essential tools and techniques for setting up your own data science project. It is especially recommended for you, if you do not bring much programming experience. You’ll learn how to use Jupyter Notebooks, VS Code and virtual environments to create and organize your projects and about using git to keep track of your code. Additionally you will get a short introduction to Docker to create and manage reproducible environments. By the end of this course, you’ll know useful tools that will help you to be effective in your data science projects.
