Rafael Irizarry
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 …
Instructor Details
Courses : 7
Specification: Data Science: R Basics
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8 reviews for Data Science: R Basics
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 12 hours |
| Year | 2020 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
Patrice Jones –
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.
Kurp –
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.
Anonymous –
Challenging but very doable. I wish the assents were a little bit better constructed, but they still are great for learning.
Akhil Vatsa –
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.
Claudia Scwz –
A really good introduction to R! You’ll get to know a great deal in a concise and fun way.
I recommend consulting the textbook here and there.
Susann –
The course explains the basics very well. The exercises are useful, but the instructions on Datacamp are sometimes not clear. However, discussions in the forum helped to clear those questions.
Tushar Tiwari –
The course is well designed and is very good introduction to R and examples makes things easy to understand. Recommended for any begginer.
Anonymous –
I just finished the course. I believe it provides a fairly simple introduction to R programming. The course is well structured, video lectures are good. The fact that key points are written under the video is quite helpful if you need a quick reminder when working on the assignments.
I did not think the course was particularly hard. If you have some programming experience you will certainly face no problems. If you are new to programming this is also quite doable, assessments walk you through the solving problem process and you can always return to the lectures. I finished the course in less than a week probably took me about 5 hours in total.