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Subject Syllabus

CS-503 (A) - Data Analytics

CSE · Semester 5

Course Modules

Learn topic-wise with Hyper AI and revise using mapped PYQs.

Probability distributionsInferential statisticsInferential statistics through hypothesis testsRegression and ANOVARegression ANOVA (analysis of variance)
Big Data and its importanceFour V's of Big DataDrivers for Big DataIntroduction to Big Data analyticsBig Data analytics applicationsHadoop's parallel worldData discoveryOpen source technology for Big Data analyticsCloud and Big DataPredictive analyticsMobile business intelligence and Big DataCrowd sourcing analyticsInter-firewall and trans-firewall analyticsInformation management
Integrating disparate data storesMapping data to the programming frameworkConnecting and extracting data from storageTransforming data for processingSubdividing data in preparation for Hadoop MapReduce
Employing Hadoop MapReduceCreating the components of Hadoop MapReduce jobsDistributing data processing across server farmsExecuting Hadoop MapReduce jobsMonitoring the progress of job flowsThe building blocks of Hadoop MapReduceDistinguishing Hadoop daemonsInvestigating the Hadoop Distributed File SystemSelecting appropriate execution modes: local, pseudo-distributed, and fully distributed
Installing and running PigComparison of Pig with databasesPig LatinUser-defined functions in PigData processing operatorsInstalling and running HiveHiveQLQuerying data in HiveUser-defined functions in HiveOracle Big Data