Data Science: R Basics
Provided by Harvard University (HarvardX)
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
Data Science: R Basics is the first course in Harvard's Professional Certificate Program in Data Science. To help learners grasp the concepts of R programming, the course focuses on teaching the R skills needed to solve a specific problem using a real-world dataset about crime in the United States.
You will learn R's functions and data types as well as how to operate on vectors and when to use advanced functions such as sorting. General programming features like “if-else,” and “for loop” commands, and how to wrangle, analyze and visualize data are also covered.
This is an introductory course which will give you a strong foundation to prepare you for the more in-depth courses later in the series which cover more in-depth concepts.
Prerequisites
An up-to-date browser is recommended to enable programming directly in a browser-based interface.
Course Format
To enrol on this course, follow the link to the course page on edX: https://www.edx.org/course/r-basics-2
Provided by Harvard University (HarvardX)
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
What You Will Learn
- Cost: Free
- Upgrade: $49 USD
- Commitment: 1–2 hours per week, for 8 weeks
- Level: Introductory
- 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
Data Science: R Basics is the first course in Harvard's Professional Certificate Program in Data Science. To help learners grasp the concepts of R programming, the course focuses on teaching the R skills needed to solve a specific problem using a real-world dataset about crime in the United States.
You will learn R's functions and data types as well as how to operate on vectors and when to use advanced functions such as sorting. General programming features like “if-else,” and “for loop” commands, and how to wrangle, analyze and visualize data are also covered.
This is an introductory course which will give you a strong foundation to prepare you for the more in-depth courses later in the series which cover more in-depth concepts.
Prerequisites
An up-to-date browser is recommended to enable programming directly in a browser-based interface.
Course Format
- Self-Paced: course contains assignments without due dates. You can progress through the course at your own speed.
- Course ends: Jun 29, 2019
- Professor of Biostatistics
- Harvard University
To enrol on this course, follow the link to the course page on edX: https://www.edx.org/course/r-basics-2