Coursera 笔记

IBM

Tools for Data Science

数据科学工具

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Module 01

Overview of Data Science Tools

14 篇
  1. 01Course Introduction课程介绍
  2. 02A Quick Note for the Best Learning Experience最佳学习体验提示
  3. 03Learning goals for the course课程学习目标
  4. 04Categories of Data Science Tools数据科学工具分类
  5. 05Open Source Tools for Data Science - Part 1数据科学开源工具（第一部分）
  6. 06Model Development模型开发
  7. 07Open Source Tools for Data Science - Part 2数据科学开源工具（第二部分）
  8. 08Open source tool board开源工具看板
  9. 09Commercial Tools for Data Science商业数据科学工具
  10. 10Cloud Based Tools for Data Science云端数据科学工具
  11. 11Summary: Open Source Tools for Data Science数据科学开源工具总结
  12. 12Module 1 Summary模块 1 总结
  13. 13Practice Quiz - Data Science Tools练习测验：数据科学工具
  14. 14Graded Quiz - Data Science Tools评分测验：数据科学工具
Module 02

Languages of Data Science

8 篇
  1. 01Languages of Data Science数据科学语言
  2. 02Introduction to PythonPython 入门
  3. 03Introduction to R LanguageR 语言简介
  4. 04Introduction to SQLSQL 语言简介
  5. 05Other Languages for Data Science其他数据科学语言
  6. 06Module 2 Summary模块 2 总结
  7. 07Practice Quiz - Languages练习测验：编程语言
  8. 08Graded Quiz - Languages评分测验：编程语言
Module 03

Packages, APIs, Data Sets, and Models

10 篇
  1. 01Libraries for Data Science数据科学库
  2. 02Application Programming Interfaces (APIs)应用编程接口
  3. 03Data Sets - Powering Data Science数据集：驱动数据科学
  4. 04Additional Sources of Datasets更多数据集来源
  5. 05Machine Learning Models – Learning from Models to Make Predictions机器学习模型与预测
  6. 06The Model Asset eXchange模型资产交换平台
  7. 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
  8. 08Module 3 Summary模块 3 总结
  9. 09Practice Quiz - Libraries, APIs, Data Sets, Models练习测验：库、API、数据集与模型
  10. 10Graded Quiz - Libraries, APIs, Data Sets, Models评分测验：库、API、数据集与模型
Module 04

Jupyter Notebooks and JupyterLab

14 篇
  1. 01Introduction to Jupyter NotebooksJupyter Notebook 简介
  2. 02Getting Started with JupyterJupyter 入门
  3. 03Hands-on Lab: Getting Started with Jupyter Notebooks动手实验：Jupyter Notebook 入门
  4. 04Jupyter KernelsJupyter 内核
  5. 05Hands-on Lab: Using Markdown in Jupyter Notebooks动手实验：Jupyter Notebook 中的 Markdown
  6. 06Jupyter ArchitectureJupyter 架构
  7. 07Hands-on Lab: Working with Files in Jupyter Notebooks动手实验：Jupyter Notebook 文件操作
  8. 08Additional Anaconda Jupyter EnvironmentsAnaconda Jupyter 环境拓展
  9. 09Additional Cloud Based Jupyter Environments云端 Jupyter 环境拓展
  10. 10(Optional): Hands-on Lab: Download & Install Anaconda on Windows（可选）动手实验：在 Windows 下载与安装 Anaconda
  11. 11Jupyter Notebooks on the Internet互联网 Jupyter Notebook 资源
  12. 12Module 4 Summary模块 4 总结
  13. 13Practice Quiz - Jupyter Notebooks and Jupyter Lab练习测验：Jupyter Notebook 与 JupyterLab
  14. 14Graded Quiz - Jupyter Notebooks and JupyterLab评分测验：Jupyter Notebook 与 JupyterLab
Module 05

RStudio & GitHub

19 / 20 篇
  1. 01Introduction to R and RStudioR 语言与 RStudio 简介
  2. 02Optional Reading: Download & Install R and RStudio（可选）阅读：下载与安装 R 和 RStudio
  3. 03R Basics with RStudio使用 RStudio 的 R 基础
  4. 04Plotting in RStudioRStudio 绘图
  5. 05Getting started with RStudio and Installing packagesRStudio 入门与软件包安装
  6. 06Creating Data Visualizations using ggplot使用 ggplot 创建数据可视化
  7. 07Plotting with RStudio使用 RStudio 绘图
  8. 08Overview of Git/GitHubGit 与 GitHub 概述
  9. 09Introduction to GitHubGitHub 入门
  10. 10GitHub RepositoriesGitHub 仓库
  11. 11GitHub - Getting Started
  12. 12Hands-on Lab: Getting Started with GitHub动手实验：GitHub 入门
  13. 13GitHub - Working with BranchesGitHub 分支操作
  14. 14Lab: Branching and Merging (Web UI)实验：分支与合并（网页界面）
  15. 15[Optional] Getting Started with Branches using Git Commands（可选）Git 命令分支入门
  16. 16Module 5 Summary模块 5 总结
  17. 17Glossary术语表
  18. 18Practice Quiz - RStudio练习测验：RStudio
  19. 19Practice Quiz - GitHub练习测验：GitHub
  20. 20Graded Quiz - RStudio & GitHub评分测验：RStudio 与 GitHub
Module 06

Final Project and Submission

4 / 5 篇
  1. 01Final Project Overview
  2. 02Final Assignment Instructions: Create and Share Your Jupyter Notebook期末作业说明：创建与分享 Jupyter Notebook
  3. 03Hands-on Lab: Create your Jupyter Notebook动手实验：创建 Jupyter Notebook
  4. 04Peer-graded Assignment: Submit Your Work and Grade Your Peers同伴评分作业：提交作品与互评
  5. 05Final Exam期末考试
Module 07

[Optional] IBM Watson Studio

12 篇
  1. 01Disclaimer: Setting up watsonx.ai to work with Jupyter Notebooks免责声明：watsonx.ai 与 Jupyter Notebook 设置
  2. 02Introduction to watsonx.aiwatsonx.ai 简介
  3. 03Creating an IBM Cloud Account and a Watsonx Service创建 IBM Cloud 账户与 watsonx 服务
  4. 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
  5. 05Hands-on Lab: Creating a watsonx.ai Project with Jupyter Notebooks动手实验：创建 watsonx.ai 项目与 Jupyter Notebook
  6. 06Hands-on Lab: Getting started with Jupyter Notebooks动手实验：Jupyter Notebook 入门
  7. 07Jupyter Notebooks in Watsonx - Part 1watsonx 中的 Jupyter Notebook（第一部分）
  8. 08Jupyter Notebooks in Watsonx - Part 2watsonx 中的 Jupyter Notebook（第二部分）
  9. 09Linking GitHub to Watsonx Studio连接 GitHub 与 watsonx
  10. 10Assignment using watsonx.ai使用 watsonx.ai 完成作业
  11. 11Summary总结
  12. 12Practice Quiz - Watson Studio练习测验：Watson Studio