coursera-data-science-jhu

Data Science - John Hopkins University - Coursera Specialization

This is a consolidated repository of assignments and projects done as part of Coursera Data Science Specialization by John Hopkins.

Most source code is R code. Some projects rely on RStudio since they take advantage of Sweave, knittr, RPubs, ShinyApps, RMarkdown, etc.

The capstone project can be found in my text-prediction-swiftkey repository.

Directories

├── 03-getting-and-cleaning-data/ 
├── 04-exploratory-data-analysis/ 
├── 05-reproducible-research/ 
├── 06-statistical-inference/ 
├── 07-regression-models/ 
├── 08-practical-machine-learning/ 
└── 09-developing-data-products/ 

Corresponding Coursera Modules

• 03 - Getting and Cleaning Data
• 04 - Exploratory Data Analysis
• 05 - Reproducible Research
• 06 - Statistical Inference
• 07 - Regression Models
• 08 - Practical Machine Learning
• 09 - Developing Data Products

Example of a data product with Shiny app

France birth