Welcome to INFO-370, Introduction to Data Science. This is a course at the University of Washington's Information School, and these materials were developed by Michael Freeman. The purpose of this course is to teach students the necessary technical skills asking sophisticated questions of data. While these resources are built for students currently enrolled in the course, they have been structured to be an online resource for anyone hoping to learn the software tools necessary for being a data scientist.
For more foundational skills, please see the learning modules for INFO-201, Technical Foundations of Informatics
Contents
Given the ever-changing nature of the coding world, students will be responsible for independent learning, both in terms of managing their own pace, and seeking out new skills. These modules have been designed to provide an introduction to core concepts necessary for success in the course.
This organization has a separate repository for each major topic. Each module contains (some of) the following:
- A short tutorial on the specified skill(s)
- Links to supplementary learning materials
- Exercises for practicing the skills
- Demos of specific skills
If you would like to contribute to this repository by adding an exercise, making an edit, or suggesting a new module, please create an issue, or make the change in a fork of this repository and submit a pull request. I expect these resources to be continually improving.
The following links are for students currently enrolled in the course:
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent