The data analysis process
When you have a good understanding of a phenomenon it is possible to make predictions about it. Data analysis helps us to make this possible through exploring the past and creating predictive models.
The data analysis process is composed of following steps:
- The statement of problem
- Collecting your data
- Cleaning the data
- Normalizing the data
- Transforming the data
- Exploratory statistics
- Exploratory visualization
- Predictive modeling
- Validating your model
- Visualizing and interpreting your results
- Deploying your solution
All of these activities can be grouped as is shown in the following image:
The problem
The problem definition starts with ...
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