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Data Science

Post Graduate Program in AI and ML

Explore Data Science as part of Post Graduate Program in AI and ML. Read the syllabus and available chapters online.

Academic programmePost Graduate Program in AI and ML

LevelPost Graduate

Reading sections16

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Data ScienceSyllabus

Data Science Foundations And Professional PracticeChapter 1

Problem Framing And The Data Science LifecycleChapter 2

Mathematical Probability And Statistical FoundationsChapter 3

Data Acquisition Storage And ManagementChapter 4

Data Quality Preparation And Feature EngineeringChapter 5

Exploratory Data Analysis And VisualizationChapter 6

Statistical Inference Experimentation And Causal AnalysisChapter 7

Supervised Machine LearningChapter 8

Unsupervised Learning And Pattern DiscoveryChapter 9

Time Series Forecasting And Prescriptive AnalyticsChapter 10

Deep Learning And Contemporary AiChapter 11

Model Evaluation Explainability And RobustnessChapter 12

Scalable Data Engineering Cloud And MlopsChapter 13

Data Products Decision Intelligence And TransformationChapter 14

Responsible Data Science Governance And Future DirectionsChapter 15