About this course

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.

At a Glance:
Institution: HarvardX
Subject: Data Analysis & Statistics
Level: Introductory
Prerequisites:
An up-to-date browser is recommended to enable programming directly in a browser-based interface.
Associated programs:
Professional Certificate in Data Science
Language: English
Video Transcript: English
Associated skills:Linux, Data Wrangling, Data Analysis, Data Science, Data Visualization, Ggplot2, File Organization, Github, Unix, Git (Version Control System), RStudio, Probability, Machine Learning, Dplyr, R (Programming Language), Sorting, Document Preparations, Version Control