11 weeks
3–5 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available
There is one session available:
90,956 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts Mar 19
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:Polynomial Regression, Data Science, Statistical Modeling, Deep Learning, Lasso (Programming Language), Artificial Neural Networks, Principal Component Analysis, K-Means Clustering, Logistic Regression, Lecturing, Python (Programming Language), Boosting, Supervised Learning, Statistical Learning Theory, Statistics, Bootstrap (Front-End Framework), R (Programming Language), Unsupervised Learning, Support Vector Machine, Data Analysis, Random Forest Algorithm, Linear Discriminant Analysis
Interested in this course for your business or team?
Train your employees in the most in-demand topics, with edX For Business.