Harvard University · edX
Data Science: R Basics
4.4273 ratingsBuild a foundation in R and learn how to wrangle, analyze, and visualize data.
This team-taught multidisciplinary course provides information relevant to the conduct and interpretation of human brain mapping studies. It begins with in-depth coverage of the physics of image formation, mechanisms of image contrast, and the physiological basis for image signals. Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. Additional topics include: fMRI experimental design including block design, event related and exploratory data analysis methods, and building and applying statistical models for fMRI data; and human subject issues including informed consent, institutional review board requirements and safety in the high field environment.
Additional Faculty
Div Bolar
Dr. Bradford Dickerson
Dr. John Gabrieli
Dr. Doug Greve
Dr. Karl Helmer
Dr. Dara Manoach
Dr. Jason Mitchell
Dr. Christopher Moore
Dr. Vitaly Napadow
Dr. Jon Polimeni
Dr. Sonia Pujol
Dr. Bruce Rosen
Dr. Mert Sabuncu
Dr. David Salat
Dr. Robert Savoy
Dr. David Somers
Dr. A. Gregory Sorensen
Dr. Christina Triantafyllou
Dr. Wim Vanduffel
Dr. Mark Vangel
Dr. Lawrence Wald
Dr. Susan Whitfield-Gabrieli
Dr. Anastasia Yendiki
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Massachusetts Institute of Technology is in Tier 1: world-leading universities and India's top institutes of our institution ranking (98/100). OpenCourseWare is the gold standard for free university material.
Harvard University · edX
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
Harvard University · edX
Learn to use machine learning in Python in this introductory course on artificial intelligence.
Massachusetts Institute of Technology · YouTube
Speakers: Gilbert Strang, Alan Edelman, Pavel Grinfeld, Michel Goemans Revered mathematics professor Gilbert Strang capped a 61-year career as a faculty member at MIT by delivering his final 18.06 Linear Algebra lecture before retiring at the age of 88. In addition to a brief review for the course…
Massachusetts Institute of Technology · YouTube
The purpose of the class is to expose undergraduate and graduate students to the mathematical concepts and techniques used in the financial industry. Mathematics lectures are mixed with lectures illustrating the corresponding application in the financial industry. MIT mathematicians teach the mathe…
Massachusetts Institute of Technology · YouTube
Instructor: Gilbert Strang The Help Session Videos were developed by: Martina Balagovic, Linan Chen, Benjamin Harris, Ana Rita Pires, David Shirokoff, Nikola Kamburov View the complete course: http://ocw.mit.edu/18-06SCF11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/te…
Massachusetts Institute of Technology · YouTube
Instructor: Prof. Gilbert Strang This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices. *Please note that…