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TABLE OF CONTENTS16 sections

Data Science

01Data Science 02Data Science Foundations And Professional Practice 03Problem Framing And The Data Science Lifecycle 04Mathematical Probability And Statistical Foundations 05Data Acquisition Storage And Management 06Data Quality Preparation And Feature Engineering 07Exploratory Data Analysis And Visualization 08Statistical Inference Experimentation And Causal Analysis 09Supervised Machine Learning 10Unsupervised Learning And Pattern Discovery 11Time Series Forecasting And Prescriptive Analytics 12Deep Learning And Contemporary Ai 13Model Evaluation Explainability And Robustness 14Scalable Data Engineering Cloud And Mlops 15Data Products Decision Intelligence And Transformation 16Responsible Data Science Governance And Future Directions

Chapter 3

Mathematical Probability And Statistical Foundations

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