
CourseraDuke University's specialization pairs R, one of the most respected languages in academic and applied statistics, with a genuinely rigorous statistical foundation — probability, Bayesian methods, and inference, not just point-and-click charting. More than 222,800 learners have taken it at the beginner level.
Aspiring data analysts or researchers who want statistical depth alongside coding skill, especially anyone heading toward roles that expect comfort with both descriptive and inferential statistics.
Its beginner-level framing means no prior R experience is assumed, though comfort with basic math will help it click faster.
Offered by Duke University. Master Data Analysis with R. Statistical mastery of data analysis including basic data visualization, ... Enroll for free.
Skills you'll gain: Data Analysis, Probability Distribution, Probability, Descriptive Statistics, R Programming, Sampling (Statistics), Bayesian Statistics, Statistics, Exploratory Data Analysis, Statistical Methods, Statistical Inference, Statistical Software, Probability & Statistics, R (Software), Statistical Analysis.
Access
Coursera PlusIncluded with a Coursera subscription
This course is included with a Coursera Plus subscription.
Advertisement
No coupon right now. We'll tell you when there is one.
More in Data Science & AI



