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  1. Online, self-paced, EdX Tuition. $0.00. Notes. Stanford courses offered through edX are subject to edX’s pricing structures. Some courses may be audited for free. In a subset of these courses, you can pay to earn a verified certificate. Click “ENROLL NOW” to visit edX and get more information on course details and enrollment.

  2. This course provides an overview of women's health and human rights, beginning in infancy and childhood, then moving through adolescence, reproductive years and aging. We consider economic, social, political and human rights factors, and the challenges women face in maintaining health and managing their lives in the face of societal pressures ...

  3. Division of Literatures, Cultures, & Languages (DLCL) Drama (TAPS) East Asian Languages & Cultures (EALC) East Asian Studies (EASTASN) Economics (ECON) English (ENGLISH) English for Foreign Students (EFSLANG) Ethics in Society (ETHICSOC) Feminist, Gender and Sexuality Studies (FEMGEN)

  4. Looking for your Lagunita course? Stanford Online retired the Lagunita online learning platform on March 31, 2020 and moved most of the courses that were offered on Lagunita to edx.org. Stanford Online offers a lifetime of learning opportunities on campus and beyond. Through online courses, graduate and professional certificates, advanced degrees, executive education programs, and free content, we give learners of different ages, regions, and backgrounds the opportunity to engage with ...

  5. R is widely used by data analysts, statisticians, and data scientists around the world. This course covers an introduction to R, from installation to basic statistical functions. You will learn to work with variable and external data sets, write functions, and hear from one of the co-creators of the R language, Robert Gentleman.

  6. The Advanced Cybersecurity program will prepare you to thrive in this industry with online, self-paced courses taught by world-class Stanford instructors and faculty. In this program, you will learn to: Create secure code and secure existing applications and systems. Use tools like cryptography and cross-domain security measures.

  7. Trevor Hastie Trevor Hastie is a professor of statistics at Stanford University. His main research contributions have been in the field of applied nonparametric regression and classification, and he has written two books in this area: "Generalized Additive Models" (with R. Tibshirani, Chapman and Hall, 1991), and "Elements of Statistical Learning" (with R. Tibshirani and J. Friedman, Springer 2001).

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