Coursera 笔记

IBM/Python Project for Data Science/Option 1: AI Graded - Final Project: Submission and Evaluation

Python Project for Data Science

数据科学 Python 项目 · IBM · 15 篇

01Crowdsourcing Short squeeze Dashboard10

01Course Introduction课程介绍
02Pre-requisite Web Scraping先修内容：网络抓取
03HTML for Webscraping网络抓取的 HTML 基础
04Webscraping网络抓取
05Intro to Web Scraping Using BeautifulSoupBeautifulSoup 网络抓取入门
06Stock shares股票份额
07Extracting Stock Data Using a Python Library使用 Python 库提取股票数据
08Reading: yfinance Library阅读：yfinance 库
09Extracting Stock Data Using Web Scraping使用网络抓取提取股票数据
10Optional: GameStop stock vs Tesla（可选）GameStop 与 Tesla 股票对比

02Final Project5

01Hands-on Lab: Analyzing Historical Stock/Revenue Data and Building a Dashboard动手实验：历史股价、营收分析与仪表板构建
02Reading: Final Submission Guidelines and Deliverables阅读：期末提交指南与交付成果
03Option 1: AI Graded - Final Project: Submission and Evaluation选项 1：期末项目 AI 评分提交与评估
04Congratulations & Next Steps结课祝贺与后续学习
05Thanks from the Course Team课程团队致谢

Module 02 · Final Project

Option 1: AI Graded - Final Project: Submission and Evaluation选项 1：期末项目 AI 评分提交与评估

← 上一篇Reading: Final Submission Guidelines and Deliverables阅读：期末提交指南与交付成果下一篇 →Congratulations & Next Steps结课祝贺与后续学习

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