Coursera 笔记

IBM/Tools for Data Science/Practice Quiz - Libraries, APIs, Data Sets, Models

Tools for Data Science

数据科学工具 · IBM · 81 篇

01Overview of Data Science Tools14

01Course Introduction课程介绍
02A Quick Note for the Best Learning Experience最佳学习体验提示
03Learning goals for the course课程学习目标
04Categories of Data Science Tools数据科学工具分类
05Open Source Tools for Data Science - Part 1数据科学开源工具（第一部分）
06Model Development模型开发
07Open Source Tools for Data Science - Part 2数据科学开源工具（第二部分）
08Open source tool board开源工具看板
09Commercial Tools for Data Science商业数据科学工具
10Cloud Based Tools for Data Science云端数据科学工具
11Summary: Open Source Tools for Data Science数据科学开源工具总结
12Module 1 Summary模块 1 总结
13Practice Quiz - Data Science Tools练习测验：数据科学工具
14Graded Quiz - Data Science Tools评分测验：数据科学工具

02Languages of Data Science8

01Languages of Data Science数据科学语言
02Introduction to PythonPython 入门
03Introduction to R LanguageR 语言简介
04Introduction to SQLSQL 语言简介
05Other Languages for Data Science其他数据科学语言
06Module 2 Summary模块 2 总结
07Practice Quiz - Languages练习测验：编程语言
08Graded Quiz - Languages评分测验：编程语言

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

01Introduction to R and RStudioR 语言与 RStudio 简介
02Optional Reading: Download & Install R and RStudio（可选）阅读：下载与安装 R 和 RStudio
03R Basics with RStudio使用 RStudio 的 R 基础
04Plotting in RStudioRStudio 绘图
05Getting started with RStudio and Installing packagesRStudio 入门与软件包安装
06Creating Data Visualizations using ggplot使用 ggplot 创建数据可视化
07Plotting with RStudio使用 RStudio 绘图
08Overview of Git/GitHubGit 与 GitHub 概述
09Introduction to GitHubGitHub 入门
10GitHub RepositoriesGitHub 仓库
11Hands-on Lab: Getting Started with GitHub动手实验：GitHub 入门
12GitHub - Working with BranchesGitHub 分支操作
13Lab: Branching and Merging (Web UI)实验：分支与合并（网页界面）
14[Optional] Getting Started with Branches using Git Commands（可选）Git 命令分支入门
15Module 5 Summary模块 5 总结
16Glossary术语表
17Practice Quiz - RStudio练习测验：RStudio
18Practice Quiz - GitHub练习测验：GitHub
19Graded Quiz - RStudio & GitHub评分测验：RStudio 与 GitHub

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 03 · Packages, APIs, Data Sets, and Models

Practice Quiz - Libraries, APIs, Data Sets, Models练习测验：库、API、数据集与模型

← 上一篇Module 3 Summary模块 3 总结下一篇 →Graded Quiz - Libraries, APIs, Data Sets, Models评分测验：库、API、数据集与模型

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