11 weeks
3–5 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available
There is one session available:
95,380 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts Sep 11
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:Statistical Modeling, Polynomial Regression, Support Vector Machine, Logistic Regression, Random Forest Algorithm, Python (Programming Language), Bootstrap (Front-End Framework), Unsupervised Learning, R (Programming Language), Artificial Neural Networks, Statistics, Principal Component Analysis, Statistical Learning Theory, Linear Discriminant Analysis, K-Means Clustering, Deep Learning, Boosting, Data Science, Data Analysis, Supervised Learning, Lasso (Programming Language), Lecturing
Interested in this course for your business or team?
Train your employees in the most in-demand topics, with edX For Business.