Programming for Data Science with R

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.

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

In this lesson, you'll hear from a few data analysts and data scientists about what it's like to work in data analytics.

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.

In this lesson, you will learn how to combine data from multiple tables together.

In this lesson, you will learn how to aggregate data using SQL functions

In this lesson, you will learn about subqueries, a fundamental advanced SQL topic. This lesson will walk you through the appropriate applications of subqueries, the different types of subqueries, and review subquery syntax and examples.

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.

Window functions allow users to compare one row to another without doing any joins using one of the most powerful concepts in SQL data analysis.

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.

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.

In this lesson, gain an understanding of how to interact with the R interpreter and the different data types available in R.

Learn some of the foundational programming concepts in R syntax. These concepts include control flow, loops, and functions.

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.

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.

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!

Now that you've learned the benefits of Version Control and gotten Git installed, it's time you learn how to create a repository.

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.

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.

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.

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.

You'll learn how to create remote repositories on GitHub and how to get and send changes to the remote 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.

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.