📊Data Science & AIML
What you'll learn: Data Science & AIML
Python, statistics, ML models and MLOps basics — a practitioner's path into data science.
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What you'll learn
Course outcomes
Every module ships with a working tool or template you keep using after class.
Build predictive models end to end
Churn, LTV and demand forecasting models validated against real metrics.
Ship an ML pipeline to production
Training, versioning and deployment — not just a Jupyter notebook.
Design executive dashboards
Looker/Metabase dashboards leadership will actually open.
Portfolio-ready capstone project
A complete case study from data to deployed model.
📊 Data Science & AIML
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