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TABLE OF CONTENTS16 sections

Data Science Fundamentals

01Data Science Fundamentals 02Foundations And Landscape Of Data Science 03Mathematical And Statistical Foundations 04Programming And Analytical Tooling 05Problem Framing And The Data Science Lifecycle 06Data Acquisition Types And Management 07Data Cleaning Integration And Preparation 08Exploratory Data Analysis And Visualization 09Statistical Inference And Experimentation 10Supervised Machine Learning 11Unsupervised Learning And Pattern Discovery 12Feature Engineering Model Evaluation And Explainability 13Data Engineering Big Data And Cloud Foundations 14Deployment Mlops And Professional Practice 15Managerial Analytics And Digital Transformation 16Ethics Governance And Future Data Science

Chapter 1

Foundations And Landscape Of Data Science

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