Defend the need to double and, yes, triple check work. Discover just how easy errors are to miss.
- Whenever you work with data, … you need to make sure that you and your team … are double checking and yes, even triple checking your work. … This is because as you do data manipulation … and modeling and forecasting, … and as you compile the implications, … different changes in the data can happen along the way. … And if you're not a double or triple checking your work, … you might miss something. … Plus the biggest important goal of analyzing data … is to deliver value. … And this requires you not to treat data analysis … like a bow and arrow where every time you do it, … it's just done and gone. … You should treat it more like a boomerang … where every time you're doing some analysis, … you throw it out there, but it should also come back … and you should incorporate feedback that you get … in that process from your colleagues, … your manager, and your stakeholders. … And that process of going around and around, … of iterating on data should continue … even after the modeling is done. …
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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