Coursera Certificate 0

Data Science with R

Name: Data Science with R
Price: 49 USD
Availability: InStock

Duke University

About this course

Master the essentials of data science with the Data Science with R Specialization. Designed for beginners and professionals alike, this four-course series builds the foundational and applied skills needed to transform, visualize, model, and ethically analyze data using the R programming language. Whether you are exploring a career in data analysis, expanding your professional toolkit, or seeking to understand how analytical choices influence real-world outcomes, this Specialization equips you with the confidence and technical fluency to thrive in today’s data-driven world. Through four hands-on courses, you’ll progress from exploring and visualizing data to cleaning and transforming messy datasets, applying ethical reasoning, and modeling relationships to make predictions. You’ll master core tools of modern data science (including R, Tidyverse, RStudio, Quarto, Git, and GitHub) while developing the practical and ethical mindset to use them responsibly. ws. By the end of the series, you’ll be able to confidently tidy and transform data, create compelling visualizations, communicate insights that drive decisions, and apply ethical principles to address algorithmic bias, data privacy, and misrepresentation in your analyses.

83/100

CourseAsk score

What the provider tells you: 32/45
Who stands behind it: 35/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

master data cleaning and transformation using R
create effective data visualizations
communicate data-driven insights
apply ethical principles in data analysis

Data Analysis #git #github #data visualization #data cleaning #data transformation #data science #r programming #modeling #tidyverse #ethical analysis

$49.00

Price shown by Coursera — confirm on their site.

Enroll on Coursera

You'll be redirected to Coursera to complete enrollment.