Explore topics for potential discussion as issues with the data before the analysis begins. Learn how to scope problems before the project begins.
- The best time to identify potential problems … with data is at the beginning of your analysis. … This goes beyond cleaning your data. … This is about making sure your team is aware … of what problems might exist in the data … even after it's been cleaned. … Maybe there are correlations between data series … that could interfere with your analysis … or maybe some of the data's not been collected consistently … even though it is clean in your data inputs. … Additionally, there can be other problems, … like maybe you want data that doesn't exist … or you can't afford certain data … and you have to make due without it. … There can be many different limitations … when you're working through a data project. … But the most important thing is to make sure to discuss … and identify any potential issues at the beginning … so that as you're doing your analysis, you can counter … those issues and make those who see the final outputs … aware of the challenges you faced along the way … and where there might be a completeness issue …
Note: This course was created by Jason Schenker. We are pleased to host this training in our library.
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2. Best Practices
3. Project Management
4. Evaluating Work
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