Coursera 笔记

IBM/Statistics for Data Science with Python/Lab: Descriptive Statistics

Statistics for Data Science with Python

数据科学统计（Python） · IBM · 18 篇

01Course Introduction and Python Basics5

01Welcome from your Instructors!讲师寄语
02Course Overview课程概述
03Python Packages for Data SciencePython 数据分析库
04(Optional) Basics of Jupyter Notebooks（可选）Jupyter Notebook 基础
05(Optional) Python Review（可选）Python 复习

02Introduction & Descriptive Statistics7

01Welcome to Statistics!统计学入门
02Types of Data数据类型
03Measure of Central Tendency集中趋势度量
04Measure of Dispersion离散程度度量
05Lab: Descriptive Statistics实验：描述性统计
06Practice Quiz - Introduction to Descriptive Statistics练习测验：描述性统计入门
07Introduction and Descriptive Statistics绪论与描述性统计

03Data Visualization6

01Visualization Fundamentals可视化基础
02Statistics by Groups分组统计
03Statistical Charts统计图表
04Introducing the teacher's rating data教学评价数据简介
05Lab: Visualizing Data实验：数据可视化
06Practice Quiz - Data Visualization练习测验：数据可视化

Module 02 · Introduction & Descriptive Statistics

Lab: Descriptive Statistics实验：描述性统计

Descriptive_Statistics_jupyterlite.ipynb

← 上一篇Measure of Dispersion离散程度度量下一篇 →Practice Quiz - Introduction to Descriptive Statistics练习测验：描述性统计入门

Coursera 笔记 · Noted by 千啾略 · As of 2026-09-14