Data Science: R Basics

عن

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.

What you will learn

• 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

Skills you learn

• Document Preparations
• Linux
• Sorting
• Ggplot2
• R (Programming Language)
• Github
• RStudio
• Data Wrangling
• Unix
• Data Analysis
• Data Visualization
• File Organization
• Probability
• Version Control
• Git (Version Control System)
• Data Science
• Dplyr
• Machine Learning

Auto Summary

"Data Science: R Basics" is a foundational IT & Computer Science course offered by edX. Over 12 hours, learners will build a strong foundation in R, focusing on data wrangling, analysis, and visualization. Subscription options include Professional and Starter, catering to beginners aiming to enhance their data science skills.