Data Science Training in Bangalore

Data Science Training in Bangalore - Live Online & Classroom

Harvard Business Review named data scientist the "sexiest job of the 21st century".This Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.With companies across industries striving to bring their research and analysis (R&A) departments up to speed, the demand for qualified data scientists is rising.

myTectra the Market Leader in Data Science Training in BangaloremyTectra offers Data Science training in bangalore using Class Room. myTectra offers Live Online Data Science Training Globally.

Getting Started With Data Science And Recommender SystemsReasons to use Data ScienceData AcquirementTransforming DataMachine Learning basicsApache Mahout OverviewReasons To Use, Project LifecycleWhat is Data Science?What Kind of Problems can you solve?Data Science Project Life CycleData Science-Basic PrinciplesData AcquisitionData CollectionUnderstanding Data- Attributes in a Data, Different types of VariablesBuild the Variable type HierarchyTwo Dimensional ProblemCo-relation b/w the Variables- explain using Paint ToolOutliers, Outlier TreatmentBoxplot, How to Draw a BoxplotAcquiring DataDiscussion on Boxplot- also ExplainExample to understand variable DistributionsWhat is Percentile? – Example using Rstudio toolHow do we identify outliers?How do we handle outliers?Outlier Treatment: Using Capping/Flooring General MethodDistribution- What is Normal DistributionWhy Normal Distribution is so popularUniform DistributionSkewed DistributionTransformationMachine Learning In Data ScienceDiscussion about Box plot and OutlierGoal: Increase Profits of a StoreAreas of increasing the efficiencyData RequestBusiness Problem: To maximize shop ProfitsWhat are Interlinked variablesWhat is StrategyInteraction b/w the VariablesUnivariate analysisMultivariate analysisBivariate analysisRelation b/w VariablesStandardize VariablesWhat is Hypothesis?Interpret the CorrelationNegative CorrelationMachine LearningStatistical And Analytical Methods Dealing With Data, Implementation Of Recommenders Using Apache Mahout And Transforming DataCorrelation b/w Nominal VariablesContingency TableWhat is Expected Value?What is Mean?How Expected Value is differ from MeanExperiment – Controlled Experiment, Uncontrolled ExperimentDegree of FreedomDependency b/w Nominal Variable & Continuous VariableLinear RegressionExtrapolation and InterpolationUnivariate Analysis for Linear RegressionBuilding Model for Linear RegressionPattern of Data means?Data Processing OperationWhat is sampling?Sampling DistributionStratified Sampling TechniqueDisproportionate Sampling TechniqueBalanced Allocation-part of Disproportionate SamplingSystematic SamplingCluster Sampling2 angels of Data Science-Statistical Learning, Machine LearningTesting And Assessment, Production Deployment And MoreMulti variable analysislinear regrationSimple linear regrationHypothesis testingSpeculation vs. claim(Query)SampleStep to test your hypothesisperformance measureGenerate null hypothesisalternative hypothesisTesting the hypothesisThreshold valueHypothesis testing explanation by exampleNull HypothesisAlternative HypothesisProbabilityHistogram of mean valueRevisit CHI-SQUARE independence test

Correlation between Nominal Variable

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