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If you’re a fledgling data scientist with only cursory statistical training and little experience with real world data sets, you may feel like you’re stumbling around in the dark when you’re asked to interpret and present data to decision makers. How do you validate the data? What analytic model should you use? How do you differentiate between correlation and causation? How do you ensure that your data is solid and your conclusions are on target? [Read more…]