RStudio Courses and Certifications

Codio

Data Analysis in R with RStudio & Tidyverse

19 ratings at Coursera

Code your first R programs in RStudio: compute descriptive statistics, import and wrangle data sets, and run statistical tests comparing populations and describing relationships.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Codio

Visualizing Data & Communicating Results in R with RStudio

Create comparison, composition, distribution, and specialized charts in R — bar charts, histograms, heat maps — then export them as documents with R Markdown.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

R for Everyone: An Introduction

R is a free language created to be used to teach statistics. Today, R is one of the most powerful and flexible statistical environments.

• OpenLearning
• 5 hours
• Self-Paced
• Paid Course

Coursera

Getting Started with R

389 ratings at Coursera

Learn the basics of R: navigate the RStudio interface, work with R data types and data structures, install packages, and import data sets.

• Coursera
• 2 hours 35 minutes
• Self-Paced
• Paid Course

Exploratory Data Analysis

10 ratings at Coursera

Explore data types, clean data for missing values and outliers, and build box plots, histograms and kernel density estimates in RStudio while simulating binomial probability experiments.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Statistical Methods

10 ratings at Coursera

Learn why statistical models are needed for reliable inference, build numerical and graphical summaries in RStudio, and simulate coin and dice trials to develop probability intuition.

• Coursera
• 3 weeks, 4 hours a week
• Self-Paced
• Paid Course

Career Certificate

Data Science Methods for Quality Improvement

55 ratings at Coursera

Analyze data for quality improvement: manage and describe datasets, assess process stability and capability, and perform measurement systems analysis using RStudio and RMarkdown.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

Statistics and Applied Data Analysis

52 ratings at Coursera

Learn statistics from the ground up: descriptive statistics, probability distributions, hypothesis tests, ANOVA and regression, solved and visualized in Microsoft Excel and R with RStudio.

• Coursera
• 12 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Data Driven Decision Making

32 ratings at Coursera

Choose and run the right statistical test: one- and two-sample tests, correlation and association, and one-way ANOVA in RStudio and ROIStat.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Defining, Describing, and Visualizing Data

16 ratings at Coursera

Classify data by measurement scale, calculate descriptive statistics, visualize datasets, and apply probability rules and discrete and continuous distributions using RStudio and ROIStat.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Statistics and Data Analysis with R

Learn to run statistics in R and RStudio: import data, compute descriptive statistics and probability distributions, run one- and two-sample hypothesis tests, regression, and ANOVA.

• Coursera
• 6 weeks, 16 hours a week
• Self-Paced
• Paid Course

Data Acquisition, Risk, and Estimation

Plan sampling for valid data, then compute point and interval estimates, best/worst-case scenarios, and effect size, sample size, and power in RStudio and ROIStat.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Reproducible Templates for Analysis and Dissemination

20 ratings at Coursera

Build reproducible documents in R Markdown and RStudio: customize syntax and layouts, automate templates, apply journal templates from Elsevier and IEEE, and publish online.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

CS50's Introduction to Programming with R

2 ratings

An introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains.

• edX
• 7 weeks, 6-12 hours a week
• Self-Paced
• Free Online Course (Audit)

Data Science: Productivity Tools

40 ratings at edX

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

• edX
• 8 weeks, 1-2 hours a week
• Self-Paced
• Free Online Course (Audit)