R Programming Fundamentals
offered by Stanford University

Private University
8180 acre campus
Estd. 1885

R Programming Fundamentals
at
Stanford University
Overview

To foster critical thinking and problem-solving abilities by presenting learners with real-world data analysis challenges and guiding them in using R to formulate and implement solutions

Mode of learning	Online
Official Website	Go to Website
Course Level	UG Certificate

R Programming Fundamentals
at
Stanford University
Highlights

Earn a certificate from Stanford University
Learn from industry experts

R Programming Fundamentals
at
Stanford University
Course details

Skills you will learn

Excel Regression R Anova Statistics Hypothesis Testing Data visualization Data analysis

Who should do this course?

For individuals who want to enhance their knowledge & skills in the field

What are the course deliverables?

Understand the basic syntax of the R programming language, including variable assignment, data types (numeric, character, logical), vectors, matrices, arrays, data frames, and lists
Learn techniques for importing data into R from various sources such as text files, CSV files, Excel spreadsheets, databases, and web APIs, and exporting data from R to different formats
Gain proficiency in manipulating and transforming data in R using functions and operators for tasks such as subsetting, filtering, merging, reshaping, sorting, and aggregating datasets
Apply statistical methods and techniques in R for descriptive statistics, hypothesis testing, correlation analysis, regression analysis, analysis of variance (ANOVA), and other common statistical procedures
Create effective data visualizations using R's graphical packages (e.g., ggplot2, base graphics) to represent data in the form of scatter plots, histograms, bar charts, box plots, heatmaps, and other visualization types

More about this course

This course covers the basics of R: a free programming language and software environment used for statistical computing and graphics
R is widely used by data analysts, statisticians, and data scientists around the world
This course covers an introduction to R, from installation to basic statistical functions
You will learn to work with variable and external data sets, write functions, and hear from one of the co-creators of the R language, Robert Gentleman