Programming for Data Science with R
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Programming for Data Science with R

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Nanodegree key: nd118
Version: 2.0.0
Locale: en-us
The course is designed to teach the principles of data science using R programming.

Content

Part 01 : Welcome to the Nanodegree

Module 01: Welcome
- Lesson 01: Welcome to the NanodegreeWelcome to the Programming for Data Science Nanodegree program! In this lesson, you will learn more about the structure of the program and meet the team.
- Lesson 02: The Life of the Data ScientistIn this lesson, you’ll hear from a few data analysts and data scientists about what it’s like to work in data analytics.
Module 02: Careers Services Orientation
- Lesson 01: Nanodegree Career ServicesThe Careers team at Udacity is here to help you move forward in your career - whether it’s finding a new job, exploring a new career path, or applying new skills to your current job.
  - Concept 01: Meet the Careers Team
  - Concept 02: Access the Career Portal
    Part 02 : SQL for Data Analysis
Module 01: Lessons
Module 02: Project 1: Investigate a Relational Database
- Lesson 01: Investigate a Relational DatabaseThe Sakila Movie database is a SQL database of online DVD rentals . You will query the database to answer questions about business decisions.Project Description - Investigate a Relational DatabaseProject Rubric - Investigate a Relational Database
Module 01: Lessons
- Lesson 01: Introduction to RIn this lesson, you will learn about why R is so popular for Data Analysis, learn how to set up R on your own machine, and see how you can use R directly within the classroom.
- Lesson 02: Syntax & Data TypesIn this lesson, gain an understanding of how to interact with the R interpreter and the different data types available in R.
- Lesson 03: Control Flow & FunctionsLearn some of the foundational programming concepts in R syntax. These concepts include control flow, loops, and functions.
- Lesson 04: Data Visualizations & EDAIn this lesson, you will get hands on with creating plots in R. This is where using R really shines, as you build amazing visualizations with only a few lines of code.
Module 02: Project
- Lesson 01: Explore Bikeshare DataYou will now use your R skills to explore bikeshare data and report your findingsProject Rubric - Explore Bikeshare Data - R
  - Concept 01: Project Overview
  - Concept 02: Project Details
  - Concept 03: Project Workspace
    Part 04 : Command Line Essentials
Module 01: Command Line Essentials
- Lesson 01: Shell WorkshopThe Unix shell is a powerful tool for developers of all sorts. In this lesson, you’ll get a quick introduction to the very basics of using it on your own computer.
Module 01: Git and GitHub
- Lesson 01: What is Version Control?Version control is an incredibly important part of a professional programmer’s life. In this lesson, you’ll learn about the benefits of version control and install the version control tool Git!
- Lesson 02: Create a Git RepoNow that you’ve learned the benefits of Version Control and gotten Git installed, it’s time you learn how to create a repository.
- Lesson 03: Review A Repo’s HistoryKnowing how to review an existing Git repository’s history of commits is extremely important. You’ll learn how to do just that in this lesson.
- Lesson 04: Add Commits to A RepoA repository is nothing without commits. In this lesson, you’ll learn how to make commits, write descriptive commit messages, and verify the changes you’re about to save to the repository.
- Lesson 05: Tagging, Branching, and MergingBeing able to work on your project in isolation from other changes will multiply your productivity. You’ll learn how to do this isolated development with Git’s branches.
- Lesson 06: Undoing ChangesHelp! Disaster has struck! You don’t have to worry, though, because your project is tracked in version control! You’ll learn how to undo and modify changes that have been saved to the repository.
- Lesson 07: Working With RemotesYou’ll learn how to create remote repositories on GitHub and how to get and send changes to the remote repository.
- Lesson 08: Working On Another Developer’s RepositoryIn this lesson, you’ll learn how to fork another developer’s project. Collaborating with other developers can be a tricky process, so you’ll learn how to contribute to a public project.
- Lesson 09: Staying In Sync With A Remote RepositoryYou’ll learn how to send suggested changes to another developer by using pull requests. You’ll also learn how to use the powerful git rebase command to squash commits together.
Module 02: Post Your Work on GitHub
- Lesson 01: Post your Work on GitHubUse your local git repository and your GitHub repository. Fork a repository, work on files, stage files and commit them to GitHub. You will also demonstrate how to hide files using .gitignore files.Project Description - Post your Work on GitHubProject Rubric - Post your Work on GitHub
  - Concept 01: Project Overview
  - Concept 02: Project Details
  - Concept 03: Tasks: Set Up Your Repository
  - Concept 04: Tasks: Improve Documentation
  - Concept 05: Tasks: Refactor Code
  - Concept 06: Tasks: Merging Branches
    Part 06 : Career Services
    These Career Services will ensure you make meaningful connections with industry professionals to accelerate your career growth - whether looking for a job or opportunities to collaborate with your peers. Unlike your Nanodegree projects, you do not need to meet specifications on these Services to progress in your program. Submit these Career Services once, and get honest, personalized feedback and next steps from Udacity Career Coaches!
Module 01: Career Services
- Lesson 01: Industry ResearchYou’re building your online presence. Now learn how to share your story, understand the tech landscape better, and meet industry professionals.
- Lesson 02: Take 30 Min to Improve your LinkedInFind your next job or connect with industry peers on LinkedIn. Ensure your profile attracts relevant leads that will grow your professional network.Project Description - Improve Your LinkedIn ProfileProject Rubric - Improve Your LinkedIn Profile
- Lesson 03: Optimize Your GitHub ProfileOther professionals are collaborating on GitHub and growing their network. Submit your profile to ensure your profile is on par with leaders in your field.Project Description - Optimize Your GitHub ProfileProject Rubric - Optimize Your GitHub Profile

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数据分析系列-2022

数据科学R编程 2.0/Programming for Data Science with R

Programming for Data Science with R

Content

Part 01 : Welcome to the Nanodegree

Part 02 : SQL for Data Analysis

Part 03 : R Programming

Part 04 : Command Line Essentials

Part 05 : Git and Github

Part 06 : Career Services