Data Science
R Basics
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'll 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
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| Rating | 4.4★ based on 7 ratings |
|---|---|
| Length | 8 weeks |
| Effort | 8 weeks, 1–2 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $169 |
| From | Harvard University, HarvardX via edX |
| Instructor | Rafael Irizarry |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Analysis & Statistics |
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What people are saying
examples makes things easy
The course is well designed and is very good introduction to R and examples makes things easy to understand.
concise - no chance
The course is very concise - no chance to get bored.
little bit better constructed
I wish the assents were a little bit better constructed, but they still are great for learning.
package dplyr were taught
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.
subject is perfectly clarified
I liked the instructor, the subject is perfectly clarified and the videos are engaging.
prof irizarry takes
Prof Irizarry takes you through a series of hands-on R applications with assignments on datacamp.
everyone who looks
Perfect solution for everyone who looks for R fundamentals and basic statistics course in one place.
datacamp console which
Practice exercises were done in the Datacamp console which I appreciated, especially since I am already familiar with it.
already familiar
any begginer
Recommended for any begginer.
base functions
basic statistics
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An overview of related careers and their average salaries in the US. Bars indicate income percentile.
AD, Data Science $47k
Associate Data Science Supervisor $55k
Science writer / data analyst $63k
Genomic Data Science Programmer $75k
Volunteer Director of Data Science $78k
Expert Data Science Supervisor $79k
Supervisor 1 Data Science Supervisor $91k
Guest Director of Data Science $101k
Data Science Architect $105k
Head of Data Science $131k
Assistant Director 1 of Data Science $133k
Owner Director of Data Science $149k
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| Rating | 4.4★ based on 7 ratings |
|---|---|
| Length | 8 weeks |
| Effort | 8 weeks, 1–2 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $169 |
| From | Harvard University, HarvardX via edX |
| Instructor | Rafael Irizarry |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Analysis & Statistics |
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