Programming for Data Science with R v5.0.0

Nanodegree key: nd118

Version: 5.0.0

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 to the Nanodegree
- Lesson 01: Welcome to the Nanodegree
  Welcome 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 Scientist
  In this lesson, you'll hear from a few data analysts and data scientists about what it's like to work in data analytics.
- Lesson 03: Nanodegree Career Services
  The 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: Career Services

Part 02 : SQL for Data Analysis

Module 01: SQL for Data Analysis
- Lesson 01: Basic SQL
  In this section, you will gain knowledge about SQL basics for working with a single table. You will learn the key commands to filter a table in many different ways.
- Lesson 02: SQL Joins
  In this lesson, you will learn how to combine data from multiple tables together.
- Lesson 03: SQL Aggregations
  In this lesson, you will learn how to aggregate data using SQL functions like SUM, AVG, and COUNT. Additionally, CASE, HAVING, and DATE functions provide you an incredible problem solving toolkit.
- Lesson 04: SQL Subqueries & Temporary Tables
  In this lesson, you will be learning to answer much more complex business questions using nested querying methods - also known as subqueries.
- Lesson 05: SQL Data Cleaning
  Cleaning data is an important part of the data analysis process. You will be learning how to perform data cleaning using SQL in this lesson.
- Lesson 06: SQL Window Functions
  Compare one row to another without doing any joins using one of the most powerful concepts in SQL data analysis: window functions.
- Lesson 07: SQL Advanced JOINS & Performance Tuning
  Learn advanced joins and how to make queries that run quickly across giant datasets. Most of the examples in the lesson involve edge cases, some of which come up in interviews.
- Lesson 08: Investigate a Relational Database
  The 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 Database
  
  Project Rubric - Investigate a Relational Database

Part 03 : R Programming

Module 01: R Programming
- Lesson 01: Introduction to R
  In 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 Types
  In 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 & Functions
  Learn some of the foundational programming concepts in R syntax. These concepts include control flow, loops, and functions.
- Lesson 04: Data Visualizations & EDA
  In 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.
- Lesson 05: Explore Bikeshare Data
  You will now use your R skills to explore bikeshare data and report your findings!
  
  Project Description - Explore Bikeshare Data - R
  
  Project Rubric - Explore Bikeshare Data - R

Part 04 : Command Line Essentials

Module 01: Command Line Essentials
- Lesson 01: Shell Workshop
  The 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.

Part 05 : Git and Github

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 Repo
  Now 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 History
  Knowing 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 Repo
  A 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 Merging
  Being 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 Changes
  Help! 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 Remotes
  You'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 Repository
  In 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 Repository
  You'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.
- Lesson 10: Post your Work on GitHub
  Use 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 GitHub
  
  Project Rubric - Post your Work on GitHub

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 Research
  You'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 LinkedIn
  Find 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 Profile
  
  Project Rubric - Improve Your LinkedIn Profile
- Lesson 03: Optimize Your GitHub Profile
  Other 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 Profile
  
  Project Rubric - Optimize Your GitHub Profile