数据科学工具 · IBM · 81 篇

01Overview of Data Science Tools14

02Languages of Data Science8

03Packages, APIs, Data Sets, and Models10

01Libraries for Data Science数据科学库
02Application Programming Interfaces (APIs)应用编程接口
03Data Sets - Powering Data Science数据集：驱动数据科学
04Additional Sources of Datasets更多数据集来源
05Machine Learning Models – Learning from Models to Make Predictions机器学习模型与预测
06The Model Asset eXchange模型资产交换平台
07Hands on Lab: Getting Started with Open Source Datasets and Deep Learning Models动手实验：开源数据集与深度学习模型入门
08Module 3 Summary模块 3 总结
09Practice Quiz - Libraries, APIs, Data Sets, Models练习测验：库、API、数据集与模型
10Graded Quiz - Libraries, APIs, Data Sets, Models评分测验：库、API、数据集与模型

04Jupyter Notebooks and JupyterLab14

01Introduction to Jupyter NotebooksJupyter Notebook 简介
02Getting Started with JupyterJupyter 入门
03Hands-on Lab: Getting Started with Jupyter Notebooks动手实验：Jupyter Notebook 入门
04Jupyter KernelsJupyter 内核
05Hands-on Lab: Using Markdown in Jupyter Notebooks动手实验：Jupyter Notebook 中的 Markdown
06Jupyter ArchitectureJupyter 架构
07Hands-on Lab: Working with Files in Jupyter Notebooks动手实验：Jupyter Notebook 文件操作
08Additional Anaconda Jupyter EnvironmentsAnaconda Jupyter 环境拓展
09Additional Cloud Based Jupyter Environments云端 Jupyter 环境拓展
10(Optional): Hands-on Lab: Download & Install Anaconda on Windows（可选）动手实验：在 Windows 下载与安装 Anaconda
11Jupyter Notebooks on the Internet互联网 Jupyter Notebook 资源
12Module 4 Summary模块 4 总结
13Practice Quiz - Jupyter Notebooks and Jupyter Lab练习测验：Jupyter Notebook 与 JupyterLab
14Graded Quiz - Jupyter Notebooks and JupyterLab评分测验：Jupyter Notebook 与 JupyterLab

05RStudio & GitHub19

06Final Project and Submission4

01Final Assignment Instructions: Create and Share Your Jupyter Notebook期末作业说明：创建与分享 Jupyter Notebook
02Hands-on Lab: Create your Jupyter Notebook动手实验：创建 Jupyter Notebook
03Peer-graded Assignment: Submit Your Work and Grade Your Peers同伴评分作业：提交作品与互评
04Final Exam期末考试

07[Optional] IBM Watson Studio12

01Disclaimer: Setting up watsonx.ai to work with Jupyter Notebooks免责声明：watsonx.ai 与 Jupyter Notebook 设置
02Introduction to watsonx.aiwatsonx.ai 简介
03Creating an IBM Cloud Account and a Watsonx Service创建 IBM Cloud 账户与 watsonx 服务
04(Optional lab) Obtain IBM Cloud Feature Code and Activate Trial Account（可选实验）获取 IBM Cloud 功能码并激活试用账户
05Hands-on Lab: Creating a watsonx.ai Project with Jupyter Notebooks动手实验：创建 watsonx.ai 项目与 Jupyter Notebook
06Hands-on Lab: Getting started with Jupyter Notebooks动手实验：Jupyter Notebook 入门
07Jupyter Notebooks in Watsonx - Part 1watsonx 中的 Jupyter Notebook（第一部分）
08Jupyter Notebooks in Watsonx - Part 2watsonx 中的 Jupyter Notebook（第二部分）
09Linking GitHub to Watsonx Studio连接 GitHub 与 watsonx
10Assignment using watsonx.ai使用 watsonx.ai 完成作业
11Summary总结
12Practice Quiz - Watson Studio练习测验：Watson Studio

Module 05 · RStudio & GitHub

Glossary术语表

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