LEARNING PATHS
Move from foundations to applied model judgment, then strengthen the project and career skills needed to explain your work.
Build the core skills every data scientist needs.
Start with Python, data manipulation, statistics, SQL, visualization, and exploratory analysis.
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Learn how models are built, evaluated, and improved.
Move from preprocessing and classical machine learning to model evaluation, deep learning, and GenAI foundations.
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Turn knowledge into interview and project readiness.
Practice scenario questions, case studies, project thinking, and interview-ready explanations.
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