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My course projects in Coursera's Johns Hopkins Specialization in Data Science course

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Courses

This repository contains all my course projects submitted through GitHub for the Data Science Specialization course in Coursera. The courses comprising the Data Science Specialization are:

  • Data Scientist's Toolbox
  • R Programming
  • Getting and Cleaning Data
  • Exploratory Data Analysis
  • Reproducible Research
  • Statistical Inference
  • Regression Models
  • Practical Machine Learning
  • Developing Data Products
  • Data Science Capstone

The courses are taught by Brian Caffo, Jeff Leek, and Roger D. Peng.

  • Roger D. Peng, PhD, Associate Professor, Biostatistics
  • Brian Caffo, PhD, Professor, Biostatistics
  • Jeff Leek, PhD, Associate Professor, Biostatistics

from Johns Hopkins University

Content

This Repo contains the following:

  • A ReadMe markdown document
  • Data_Scientists_Toolbox
  • R_Programming
  • Getting_and_Cleaning_Data
  • Exploratory_Data_Analysis
  • Reproducible_Research
  • Statistical_Inference
  • Regression_Models
  • Practical_Machine_Learning
  • Developing_Data_Products
  • Capstone_Project

The README markdown document is displayed by default by GitHub whenever you visit a GitHub repository. The document you are reading now is the README.md file. It contains information about the content of this repo.

Each of the folders in this repo contain the files for my course project for that particular course.

To download the content of this repository as a .zip file, click on the Download ZIP button. If you have a GitHub account, you can fork the content so you'll have a copy on your GitHub account.

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My homework in Coursera

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