Pearson Advance R Basics Bootcamp

Eager to build your Data Science skills? It all starts with R. Join us for a guided two-day bootcamp. Tutors available all weekend. Let’s learn together. 2 Days 8 - 16 Hours
3590

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About This Bootcamp

Ready to dive in and learn one of the most popular programming languages in Data Science? Join our Pearson Advance hosted bootcamp as we guide you through this intro-level R Basics course offered through HarvardX.

Weekend Schedule

Gain access to a peer learning community along with expert coaches who will answer questions at designated times throughout the weekend. Attend a 15 minute live kickoff event at 9 or 11am ET on Saturday.

The bootcamp will run from 9am to 6pm on Saturday and Sunday, November 20 and 21.

A full schedule will be sent upon registration.

Course Content

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 and learn the R skills needed to answer essential questions about statistical differences.

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

Meet your instructors

Rafael Irizarry

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.

Frequently asked questions

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3590

Experience Level

Introductory

Learning Partner

Harvard

Program Type

Bootcamp

Subject

Data Analysis & Statistics Data Science