Pinned Repositories
advanced-high-school-statistics
An open-source textbook constructed for high school statistics. This textbook covers all topics in the AP* Statistics exam.
Bios6301
Biostatistics 301: Introduction to Statistical Computing
CFDPython
A sequence of IPython notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Coursera-Statistics-One--R
Statistics One is designed to be a comprehensive yet friendly introduction to fundamental concepts in statistics. Comprehensive means that this course provides a solid foundation for students planning to pursue more advanced courses in statistics. Friendly means exactly that. The course assumes very little background knowledge in statistics and introduces new concepts with several fun and easy to understand examples. This course is, quite literally, for everyone. If you think you can't learn statistics, this course is for you. If you had a statistics course before but feel like you need a refresher, this course is for you. Even if you are a relatively advanced researcher or analyst, this course provides a foundation and a context that helps to put one’s work into perspective. Statistics One also provides an introduction to the R programming language. All the examples and assignments will involve writing code in R and interpreting R output. R software is free! What this means is you can download R, take this course, and start programming in R after just a few lectures. That said, this course is not a comprehensive guide to R or to programming in general.
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Data_Analysis_Coursera
A repository for code created during the Coursera Data Analysis Course (Jeff Leek)
DataAnalysis
Course work for the Coursera MOOC on data analysis by Jeff Leek. Jan 22-Mar 16 2012.
datascienceblog
blog
datasciencecoursera
riskscorer
Programmatically access to clinical risk scores
giacombi's Repositories
giacombi/riskscorer
Programmatically access to clinical risk scores
giacombi/advanced-high-school-statistics
An open-source textbook constructed for high school statistics. This textbook covers all topics in the AP* Statistics exam.
giacombi/Bios6301
Biostatistics 301: Introduction to Statistical Computing
giacombi/CFDPython
A sequence of IPython notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
giacombi/Coursera-Statistics-One--R
Statistics One is designed to be a comprehensive yet friendly introduction to fundamental concepts in statistics. Comprehensive means that this course provides a solid foundation for students planning to pursue more advanced courses in statistics. Friendly means exactly that. The course assumes very little background knowledge in statistics and introduces new concepts with several fun and easy to understand examples. This course is, quite literally, for everyone. If you think you can't learn statistics, this course is for you. If you had a statistics course before but feel like you need a refresher, this course is for you. Even if you are a relatively advanced researcher or analyst, this course provides a foundation and a context that helps to put one’s work into perspective. Statistics One also provides an introduction to the R programming language. All the examples and assignments will involve writing code in R and interpreting R output. R software is free! What this means is you can download R, take this course, and start programming in R after just a few lectures. That said, this course is not a comprehensive guide to R or to programming in general.
giacombi/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
giacombi/datascienceblog
blog
giacombi/datasciencecoursera
giacombi/datasets
giacombi/datasharing
The Leek group guide to data sharing
giacombi/DataToolKit_test
giacombi/DiscoverStatwithR
A Repo intended to be a R stat playground as long as I go through the Book of Andy Field "Discovering Statistics with R"
giacombi/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
giacombi/gbianchi.science
personal WebSite of G Bianchi MD, PhD
giacombi/getcleandata
Public repository fot the Get and Clean Data of Coursera
giacombi/giacombi.github.io
Personal Website
giacombi/Hmisc
Harrell Miscellaneous
giacombi/jk-vita
A simple LaTeX academic CV template
giacombi/lbscorer
[R package]: questionnaires scoring
giacombi/MitralPubMed
Exporation of Mitral Valve Surgery from PubMed
giacombi/openintro-statistics
An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.
giacombi/prelude
Prelude is an enhanced Emacs 24 distribution that should make your experience with Emacs both more pleasant and more powerful.
giacombi/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
giacombi/python-for-data-analysis
An introduction to Python for data analysis.
giacombi/RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
giacombi/RRstatBook
Fare Ricerca riproducibile
giacombi/spacemacs
A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!
giacombi/statistical-analysis-python-tutorial
Statistical Data Analysis in Python
giacombi/styles
Official repository for Citation Style Language (CSL) citation styles.
giacombi/swirl_courses
A collection of interactive courses for the swirl R package.