Insights & Tutorials
The Dallas Data Science Academy Blog
Practical writing on AI, Agentic AI, and data science from the practicing data scientists who teach our programs — what is working in real projects, and what it means for your career.
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Predicting Ranges, Not Points: Why Single-Number Forecasts Lose Credibility with Executive Stakeholders
Point forecasts hide the uncertainty executives need most — prediction intervals, calibration tracking, and percentile triggers turn a model output into a decision structure.
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Where Six Sigma meets AI in Medicare Part D analytics
Pairing DMAIC discipline with machine learning turns Part D analytics from retrospective reporting into predictive financial control.
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How to Build a Data Science Portfolio That Gets You Hired
Why cleaned public templates get rejected on sight — and what hiring teams look for instead: messy data, production thinking, and a clear line from your model to a business decision.
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