- Define the question
- Define the ideal data set
- Determine what data you can access
- Obtain the data
- Clean the data
- Exploratory data analysis
- Statistical prediction/modeling
- Interpret results
- Challenge results
- Synthesize/write up results
- Create reproducible code
- Distribute results to other people
The Data Scientist's Toolbox
Johns Hopkins Bloomberg School of Public Health
What do data scientists do?
The main workhorse of data science
Where we will work on coding
Rstudio's interface
Primary file types - R script
Primary file types - R markdown document
Sharing your results - Github & Git
Where to run Github commands - the shell
