From 9cfbedce8458bf2c1850ca0451d635669c3d0a1c Mon Sep 17 00:00:00 2001
From: BarbarossaWang <40034814+BarbarossaWang@users.noreply.github.com>
Date: Sun, 18 Sep 2022 17:44:38 +0800
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+# UCB Data100: Principles and Techniques of Data Science
+
+## Description
+
+- Offered by: UC Berkeley
+- Prerequisites: CS61A，Linear Algebra
+- Programming Languages: Python
+- Difficulty: 🌟🌟🌟
+- Class Hour: 80 hours
+
+Berkeley's introductory data science course is relatively basic, 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