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Data Scientist Career Accelerator
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Introduction to Data Science
Advanced ML, AI, NLP, Time Series, Generative AI
4 Lessons
Foundation: Programming (Python/SQL), Excel for data, and Descriptive Statistics.
Core Technical: Data cleaning with Pandas/NumPy, EDA, and Visualization (Tableau/Power BI).
Modeling: Supervised/Unsupervised Machine Learning, Regression, and Neural Networks.
Advanced/2026 Skills: Generative AI (LLMs, Prompt Engineering), NLP, and MLOps (Deployment, Docker).
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