cs-self-learning/docs/数据科学/Data100.en.md
BarbarossaWang 793350eaa3
[TRANSLATION] translate Data100.md (#229)
* [TRANSLATION] translate Data100.md

* fix description
2022-09-18 19:40:03 +08:00

17 lines
763 B
Markdown
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

# UCB Data100: Principles and Techniques of Data Science
## Description
- Offered by: UC Berkeley
- Prerequisites: CS61ALinear Algebra
- Programming Languages: Python
- Difficulty: 🌟🌟🌟
- Class Hour: 80 hours
This is Berkeley's introductory course in data science, covering the basics of data cleaning, feature extraction, data visualization, machine learning and inference, as well as common data science tools such as Pandas, Numpy, and Matplotlib. The course is also rich in interesting programming assignments, which is one of the highlights of the course.
## Resources
- Course Website: <https://ds100.org/fa21/>
- Records: refer to course website
- Textbook: <https://www.textbook.ds100.org/intro.html>
- Assignments: refer to course website