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R Programming

$49.00

In this course you will learn how to program in R and how to use R for effective data analysis. read more…

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What you'll learn

Week 1: Background, Getting Started, and Nuts & Bolts

Week 2: Programming with R

Week 3: Loop Functions and Debugging

Week 4: Simulation & Profiling

Description

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.

The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

Requirements

Access to a computer or mobile device with an internet connection.

Motivation to learn!

There are no special materials or prerequisite knowledge required for this course.

Who this course is for

Students who are already familiar with this field

Students willing to put in a couple hours to learn about R Programming

Advanced students wanting to add another skill to their portfolio

Content Creator

Roger D. Peng, PhD – Associate Professor, Biostatistics – Bloomberg School of Public Health, Jeff Leek, PhD – Associate Professor, Biostatistics – Bloomberg School of Public Health, Brian Caffo, PhD – Professor, Biostatistics – Bloomberg School of Public Health

This course includes

Participation Confirmation/Certificate

Option for learning at your own pace

Videos and reading material about the course

Practice tests

Assessed tasks with feedback from other course participants

Evaluated tests with feedback

Evaluated programming tasks

Discussions

Got something to discuss?