Pinned Repositories
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
datasciencecoursera
My first GitHub Repository for "The Data Scientist Toolbox" class.
datasharing
The Leek group guide to data sharing
GetDataProject
The purpose of this project is to demonstrate your ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis. You will be graded by your peers on a series of yes/no questions related to the project. You will be required to submit: 1) a tidy data set as described below, 2) a link to a Github repository with your script for performing the analysis, and 3) a code book that describes the variables, the data, and any transformations or work that you performed to clean up the data called CodeBook.md. You should also include a README.md in the repo with your scripts. This repo explains how all of the scripts work and how they are connected.
PA3-tutorial
Assignment 3: tutorial
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
python-seminar
Python for Data Science (Seminar Course at UC Berkeley; AY 250)
SpringClass
This is my first repo for a data science class from John Hopkins' "The Data Scientist's Toolbox"
vorpal-j's Repositories
vorpal-j/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
vorpal-j/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
vorpal-j/datasciencecoursera
My first GitHub Repository for "The Data Scientist Toolbox" class.
vorpal-j/datasharing
The Leek group guide to data sharing
vorpal-j/GetDataProject
The purpose of this project is to demonstrate your ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis. You will be graded by your peers on a series of yes/no questions related to the project. You will be required to submit: 1) a tidy data set as described below, 2) a link to a Github repository with your script for performing the analysis, and 3) a code book that describes the variables, the data, and any transformations or work that you performed to clean up the data called CodeBook.md. You should also include a README.md in the repo with your scripts. This repo explains how all of the scripts work and how they are connected.
vorpal-j/PA3-tutorial
Assignment 3: tutorial
vorpal-j/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
vorpal-j/python-seminar
Python for Data Science (Seminar Course at UC Berkeley; AY 250)
vorpal-j/SpringClass
This is my first repo for a data science class from John Hopkins' "The Data Scientist's Toolbox"