The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics in R programing. 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 use 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 such as 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.
HarvardX has partnered with DataCamp for all assignments. This allows students to program directly in a browser-based interface. You will not need to download any special software, but an up-to-date browser is recommended.
This class was supported in part by NIH grant R25GM114818.
Kurpcompleted this course, spending 3 hours a week on it and found the course difficulty to be medium.
Perfect! I loved the course and I'm going to complete the whole Harvard's Data Science program (9 courses ahead). I liked the instructor, the subject is perfectly clarified and the videos are engaging. The course is very concise - no chance to get bored. Perfect solution for everyone who looks for R fundamentals and basic statistics course in one place.
I also liked that the course is integrated with DataCamp, allowing you to use your new R coding skills in practice. By the way, after completing the course, if you sign up to DataCamp, you'll receive statement of accomplishemet also from there.
Akhilcompleted this course, spending 3 hours a week on it and found the course difficulty to be medium.
The course covers most of the basics you'll need in R. I have had a little experience with data science and R language in general, and the course sufficed as a refresher for me. Prof Irizarry takes you through a series of hands-on R applications with assignments on datacamp.
I'd recommend it to any beginner who wants to grasp a broad concept and applicability of R language, though the concepts don't go very deep in general.
I found it to be an engaging introduction to R. In it base functions and some verbs of the popular R package dplyr were taught. Practice exercises were done in the Datacamp console which I appreciated, especially since I am already familiar with it. The professor was clear and the lessons were well paced. I am looking forward to the rest of the courses in this series.