Data Science: R Basics

MOOC
Data Science: R Basics
Language
English
Duration
5 months
Certificate
Certification paid
Course by EdX
Data Science: R Basics
What will you 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
About the 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.

Program
Data Science: R Basics
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
Lecturers
Rafael Irizarry
Rafael Irizarry
Professor of Biostatistics Harvard University
Platform
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All the courses on this platform are free of charge. The authors are top universities and corporations that seek to maintain high quality standards. If you do not meet a deadline for assignments, you lose points. Like on other platforms, the videos in which the theory is explained are followed by practical assignments. Courses are available in English, Chinese, Spanish, French and Hindi.
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