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Programming for Data Science with R

Nanodegree Program

This Programming for Data Science with R Nanodegree program provides an overview of data analysis and programming. In the SQL course, students learn to use SQL to answer complex business problems, including basic commands, joins, and aggregations. In the R course, students learn programming fundamentals and topics such as data types, functions, loops, and conditional statements. They learn to read and manipulate data in R, create basic visualizations, and perform statistical analysis. The version control course teaches students to use Git and GitHub to manage versions of programs and collaborate with others. These courses include practical projects where students use their skills to analyze real data.

This Programming for Data Science with R Nanodegree program provides an overview of data analysis and programming. In the SQL course, students learn to use SQL to answer complex business problems, including basic commands, joins, and aggregations. In the R course, students learn programming fundamentals and topics such as data types, functions, loops, and conditional statements. They learn to read and manipulate data in R, create basic visualizations, and perform statistical analysis. The version control course teaches students to use Git and GitHub to manage versions of programs and collaborate with others. These courses include practical projects where students use their skills to analyze real data.

Beginner

2 months

Real-world Projects

Completion Certificate

Last Updated December 13, 2023

Skills you'll learn:
Control flow in r • R data structures • R function definition • Data structures
Prerequisites:

No experience required

Courses In This Program

Course 1 40 minutes

Welcome to the Nanodegree

This is an overview of several courses on data analysis and programming. In the SQL course, students learn to use SQL to answer complex business problems, including basic commands, joins, and aggregations. In the Python course, students learn programming fundamentals and use libraries like NumPy and Pandas to work with data. The version control course teaches students to use Git and GitHub to manage versions of programs and collaborate with others. These courses include practical projects where students use their skills to analyze real data.

Lesson 1

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 2

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 3

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.

Course 2 4 weeks

SQL for Data Analysis

Lesson 1

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 2

SQL Joins

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

Lesson 3

SQL Aggregations

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

Lesson 4

SQL Subqueries & Temporary Tables

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.

Lesson 5

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 6

SQL Window Functions

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.

Lesson 7

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 8 • Project

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.

Course 3 4 weeks

Introduction to R Programming

In this course, you’ll learn to represent and store data using R data types and variables, and use conditionals and loops to control the flow of your programs. You’ll harness the power of complex data structures like lists, sets, dictionaries, and tuples to store collections of related data. You’ll define and document your own custom functions, write scripts, and handle errors. You will also learn to use two powerful R libraries - Numpy, a scientific computing package, and Pandas, a data manipulation package.

Lesson 1

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 2

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 3

Control Flow & Functions

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

Lesson 4

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 5 • Project

Explore Bikeshare Data

You will now use your R skills to explore bikeshare data and report your findings!

Course 4 2 hours

Command Line Essentials

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.

Lesson 1

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.

Taught By The Best

Photo of Josh Bernhard

Josh Bernhard

Staff Data Scientist

Josh has been sharing his passion for data for over a decade. He's used data science for work ranging from cancer research to process automation. He recently has found a passion for solving data science problems within marketplace companies.

Photo of Karl Krueger

Karl Krueger

Command Line Instructor

Before joining Udacity, Karl was a Site Reliability Engineer (SRE) at Google for eight years, building automation and monitoring to keep the world's busiest web services online.

Photo of Derek Steer

Derek Steer

CEO at Mode

Derek is the CEO of Mode Analytics. He developed an analytical foundation at Facebook and Yammer and is passionate about sharing it with future analysts. He authored SQL School and is a mentor at Insight Data Science.

Photo of Richard Kalehoff

Richard Kalehoff

Instructor

Richard is a Course Developer with a passion for teaching. He has a degree in computer science, and first worked for a nonprofit doing everything from front end web development, to backend programming, to database and server management.

Photo of Juno Lee

Juno Lee

Curriculum Lead at Udacity

Juno is the curriculum lead for the School of Data Science. She has been sharing her passion for data and teaching, building several courses at Udacity. As a data scientist, she built recommendation engines, computer vision and NLP models, and tools to analyze user behavior.

Ratings & Reviews

Average Rating: 4.7 Stars

47 Reviews

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