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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Career
New Year, New Career: A Gen AI Roadmap for Non-IT Professionals
Follow a week-by-week roadmap built for career changers from finance, marketing, and healthcare, and turn your industry experience into a data science career.
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Career
Data Science Jobs in Dallas: What's Actually Out There in 2027
See which Dallas industries are hiring data talent, which roles are growing fastest, and how local training and networks give you an edge in this market.
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Production ML
I Let Claude Clean a Real Messy Dataset: Here's What Happened
Watch an AI clean 2,400 rows of messy business data in minutes, catch the two quiet mistakes it made, and learn the review checklist that keeps your analysis honest.
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Agentic AI
Agentic AI: The Skill Employers Are Hiring For in 2027
Learn what AI agents really are, which frameworks employers look for, and how to build a portfolio project that proves you can put agents to work safely.
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Career
Will AI Replace Data Scientists in 2027?
An honest answer from a practicing data scientist: see what AI actually automates, what it cannot touch, and how to become the kind of data scientist employers compete for.
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Healthcare Analytics
Site-of-Care Redirection Modeling: Optimize Last-Mile Healthcare Logistics
Learn how demographic proximity vectors, drive-time features, and redirection scoring can improve healthcare delivery routes and reduce last-mile costs.
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Production ML
AI Model Fails in Production: 3 Hidden Causes
Great validation scores can hide target leakage, proxy bias, and weak test design. Learn how to catch these production risks before deployment.
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Healthcare Analytics
How to Predict Payer Mix with AutoML: A 5-Step Framework
Define the right target, build operational and economic features, compare model families, monitor drift, and turn payer forecasts into finance-ready decisions.
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Career
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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Career
Healthcare Data Science vs. Actuarial Data Science: Which Pays Off Faster?
Compare the two paths on compensation, time to entry, credentialing, and job growth — and see why the faster payoff depends on employability, not median salary.
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Forecasting
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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Healthcare Analytics
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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