# Data Science: R Basics - October 2024

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

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Time Commitment

1 - 2 hours per week

Pace

Self-paced

Subject

Introductory

Platform

edX

Basic R syntax

Foundational R programming concepts such as data types, vectors arithmetic, and indexing

How to perform operations in R including sorting, data wrangling using dplyr, and making plots

The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states.

We’ll cover R's functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You’ll learn how to apply general programming features like “if-else,” and “for loop” commands, and how to wrangle, analyze and visualize data.

Rather than covering every R skill you might need, you’ll build a strong foundation to prepare you for the more in-depth courses later in the series, where we cover concepts like probability, inference, regression, and machine learning. We help you develop a skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.

The demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges.

Online

Learn basic data visualization principles and how to apply them using ggplot2.

Price

Free^{*}

Duration

8 weeks long

Registration Deadline

Available now

Online

Show what you’ve learned from the Professional Certificate Program in Data Science.

Price

Free^{*}

Duration

2 weeks long

Registration Deadline

Available now

Online

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

Price

Free^{*}

Duration

8 weeks long

Registration Deadline

Available now