Data Science with R
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.
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · All Levels
More courses like this
PostgreSQL | Learn T-SQL Using PostgreSQL with Real Examples
Udemy · MOOC / Non-credit
edX
Data Visualization
University of Maryland Baltimore County · MOOC / Non-credit
Professional Certificate in SQL and SQL for Data Analysis
Udemy · Certificate
Coursera
Use Tableau for Your Data Science Workflow
University of California, Irvine · MOOC / Non-credit
More courses from Coursera
Coursera
TCP/IP and Internet
Birla Institute of Technology & Science, Pilani · MOOC / Non-credit
Coursera
Agile Project Management
University of Colorado Boulder · Master's Degree
Coursera
Conservation and Sustainable Development
University of Michigan · MOOC / Non-credit
Coursera
Extra-Galactic Astronomy
University of Cambridge · MOOC / Non-credit