When working on a data analysis project from start to finish, there are several processes involved. The following are some of the most crucial steps:
- Problem statement
- Data cleaning/preprocessing
- Data exploration
- Modeling
- Data validation
- Implementation
- Verification
When it comes to data analysis, there are a variety of statistical approaches that may be extremely beneficial. Here are a few of the most important:
- Markov process
- Cluster analysis
- Imputation techniques
- Bayesian methodologies
- Rank statistics