11 weeks
3–5 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available
There is one session available:
91,693 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts Apr 17
Ends Aug 26
Statistical Learning with R
At a glance
- Institution: StanfordOnline
- Subject: Data Analysis & Statistics
- Level: Introductory
- Prerequisites:
First courses in statistics, linear algebra, and computing.
- Language: English
- Video Transcript: English
- Associated skills:Principal Component Analysis, Unsupervised Learning, Logistic Regression, Artificial Neural Networks, Statistical Learning Theory, Deep Learning, Statistical Modeling, Support Vector Machine, Supervised Learning, Statistics, Bootstrap (Front-End Framework), Random Forest Algorithm, Polynomial Regression, Lecturing, Linear Discriminant Analysis, Boosting, K-Means Clustering, R (Programming Language), Lasso (Programming Language), Data Science, Data Analysis, Python (Programming Language)
Interested in this course for your business or team?
Train your employees in the most in-demand topics, with edX For Business.