Data Science Workflow Challenges

The workflow for a data scientist is typically broken down into the following steps at a high level:

1. Define the problem statement
2. Data gathering/cleansing
3. Data exploration
4. Data modeling
5. Presenting results

If I had to rank them in order of importance (1 being the most important):

1. Data gathering/cleansing
2. Define the problem statement
3. Data exploration
4. Presenting results
5. Data modeling

I’m content with the current state of data gathering/cleansing (or perhaps I’ve given …

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