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Mathematics for Data Science

Post Graduate Program in Data science

Explore Mathematics for Data Science as part of Post Graduate Program in Data science. Read the syllabus and available chapters online.

Academic programmePost Graduate Program in Data science

LevelPost Graduate

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Mathematics for Data ScienceSyllabus

Mathematical Language Logic And FoundationsChapter 1

Linear Algebra And Vector SpacesChapter 2

Matrix Decompositions And Spectral MethodsChapter 3

Differential And Integral CalculusChapter 4

Multivariable Vector And Matrix CalculusChapter 5

Probability Foundations And Random VariablesChapter 6

Multivariate Probability And Stochastic ProcessesChapter 7

Statistical Inference And Bayesian ReasoningChapter 8

Statistical Decision Theory And Uncertainty AnalyticsChapter 9

Mathematical Optimization For Data ScienceChapter 10

Numerical Methods And Scientific ComputingChapter 11

Discrete Mathematics Graphs And Network ModelsChapter 12

Approximation Similarity And Representation MethodsChapter 13

Mathematical Foundations Of Machine Learning And AiChapter 14

Responsible Mathematical Modelling And Emerging DevelopmentsChapter 15