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TABLE OF CONTENTS16 sections

Foundations of Data Science

01Foundations of Data Science 02Data Science Foundations And Professional Landscape 03Data Science Lifecycle And Problem Framing 04Mathematical Foundations For Data Science 05Statistical Reasoning And Inference 06Programming And Computational Data Science 07Data Acquisition Quality And Preparation 08Data Management And Data Engineering Foundations 09Exploratory Data Analysis And Visualisation 10Feature Engineering And Data Representation 11Predictive Modelling And Machine Learning Foundations 12Model Evaluation Validation And Explainability 13Experimentation Causal Reasoning And Decision Analytics 14Scalable Data Science Cloud And Mlops 15Data Storytelling Strategy And Organisational Value 16Ethics Governance And Emerging Data Science

Chapter 2

Data Science Lifecycle And Problem Framing

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