Data Science Lifecycle in R in Data Science with R Programming
Data Science Lifecycle
A data science project follows several structured steps from collecting data to deploying predictive models.
- Data Collection
- Data Cleaning
- Exploratory Data Analysis
- Feature Engineering
- Model Training
- Model Evaluation
Next Tutorial: Applications of Data Science

