Home > Data Science: R Basics

Data Science: R Basics

A foundation in R will ensure you know how to wrangle, analyze, and visualize data.
Prerequisites: An up-to-date browser is recommended to enable programming directly in a browser-based interface. 8 Weeks 1 - 2 Hours per week recommended
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Data Science: R Basics

8 Weeks
1 - 2 Hours per week

Scheduled Start:
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About This 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.

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

Professional Certificate in Data Science

Real-world case studies to jumpstart your career

Data Science: R Basics
Data Science: Visualization
Data Science: Probability
Data Science: Inference and Modeling
Data Science: Productivity Tools
Data Science: Wrangling
Data Science: Linear Regression
Data Science: Machine Learning
Data Science: Capstone
9 Courses 1 year 5 months
Complete Program $792.80
Program Details

Meet Your Instructor:

Rafael Irizarry

Professor of Biostatistics at Harvard University
Rafael Irizarry is a Professor of Biostatistics at the Harvard T.H. Chan School of Public Health and a Professor of Biostatistics and Computational Biology at the Dana Farber Cancer Institute. For the past 15 years, Dr. Irizarry’s research has focused on the analysis of genomics data. During this time, he has also has taught several classes, all related to applied statistics. Dr. Irizarry is one of the founders of the Bioconductor Project, an open source and open development software project for the analysis of genomic data. His publications related to these topics have been highly cited and his software implementations widely downloaded.

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2675

Duration

8 Weeks

Experience Level

Intermediate

Learning Partner

Harvard

Pacing

Self-paced

Subject

Computer Science Data Analysis & Statistics Data Science