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  1. Format Online, instructor-led Time to Complete 10 weeks, 15-25 hrs/week Tuition. $5,824.00. Subject to change. Course Material Course Website Academic credits

  2. Skills you'll gain: Writing. 4.9. (8.4K reviews) Beginner · Course · 1 - 3 Months. stanford university. stanford introduction to food and health. stanford's short course on breastfeeding. machine learning stanford. standford.

  3. Monday, August 5, 2024 12:00 pm - 1:00 pm. ONLINE EVENT. Are you a healthcare professional looking to advance your skills, or are you passionate about increasing your personal health and wellness... Aug 5. Stanford Online offers learning opportunities via free online courses, online degrees, grad and professional certificates, e-learning, and ...

  4. 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.

  5. Jun 22, 2024 · Stanford University sets tuition rates for students in all quarters, including summer. Summer tuition rates are the same for visitors and matriculated Stanford students, whether they study online or in person. Online students will pay the Application Fee, Document Fee, and a Student Support Fee of $125.

  6. There are 6 modules in this course. This course introduces learners to a variety of infectious diseases using a patient-centered, story-based approach. Through illustrated, short videos, learners will follow the course of each patient’s illness, from initial presentation to resolution. Integrating the relevant microbiology, pathophysiology ...

  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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