Subject Syllabus
AD-302 - Probability and Statistics for Data Science
AIDS · Semester 3
Course Modules
Learn topic-wise with Hyper AI and revise using mapped PYQs.
Data Science: Introduction, Data Science Life CycleStatistics: Descriptive and Inferential StatisticsMeasures of central tendency: Arithmetic Mean, Median and ModeGeometric mean, Harmonic Mean and Partition valuesMeasures of dispersion: Dispersion, Range, Quartile Deviation, Mean deviationStandard Deviation, Variance and Coefficient of Dispersion
Skewness, Kurtosis, MomentsMeasure of skewness and kurtosisIntroduction and definition of ProbabilityEvent, Sample SpaceLaw of addition and multiplication of Probabilities and Conditional ProbabilityIndependent and Dependent eventsBayes' theoremMathematical Expectations and Moment generating functions