Up to three months

This introductory-level course in supervised learning covers regression and classification techniques, including linear and polynomial regression, logistic regression, cross-validation, and more. It also touches on some unsupervised learning methods like principal components and clustering. The course emphasizes practical understanding without heavy math, using R for computing and providing detailed tutorials on its usage. Explore modern data analysis essentials with us.

Prerequisites: Foundational knowledge in statistics, linear algebra, and computing is recommended.

Instructors: Learn from Trevor Hastie, Professor of Statistics at Stanford University, and Robert Tibshirani, Professor in Health Research and Policy and Statistics at Stanford University.

This course delves into the fundamentals of R, a popular programming language and software environment extensively utilized by data analysts, statisticians, and data scientists for statistical computing and graphics across the globe. It provides an introductory journey into R, encompassing installation procedures and foundational statistical operations. The course equips you with the skills to handle variables and external datasets, create functions, and offers insights from one of the R language’s co-creators, Robert Gentleman. Explore the world of R and enhance your statistical computing capabilities with this comprehensive course.

This course equips you with core competencies in R, covering data types, variables, vectors, matrices, lists, data frames, data import, logical statements, loops, functions, data plotting, visualization, and basic statistical functions. Prior experience in a scientific or engineering discipline is helpful but not mandatory, making it accessible to learners with basic computer skills. Join us to enhance your proficiency in R and excel in statistical computing and data analysis.

Computer Science 101 is a stand-alone course that teaches the basic ideas of computer science to an audience with zero previous experience. Computers may look very complicated, but in reality they only work on a few simple circuits. The course demystifies and brings these patterns to life, which is useful for anyone using computers today.

Course participants play and experiment with short pieces of “computer code” to understand the power and limitations of computers. Everything works within the browser, so there is no additional software to download or install. CS101 also provides general information about computers today: what is a computer, what is hardware, what is software, what is the Internet. Anyone who knows how to use a web browser can be successful with this course. No previous computer science experience is required.