I1 Basics of Business Analytics Bangalore University B.Com 5th Semester NEP Notes

Unit 1 [Book]
Data, Types of Data, Forms of Data, Evolution of Big DataVIEW
Business Analytics, Need for Analytics, Types of AnalyticsVIEW
Importance of Business Analytics in Decision MakingVIEW
Analytics Process ModelVIEW
SMART ModelVIEW
Spreadsheet analysisVIEW
Internet of ThingsVIEW

 

Unit 2 [Book]
Overview of DBMSVIEW
Data Warehousing Concepts, Need, ObjectivesVIEW
Relevance of Data Warehousing in Business AnalyticsVIEW
Data Mining, Application of Data Mining, Data Mining Technique, Data ClassificationVIEW
Hadoop Distributed File System, Features of HDFSVIEW
Map Reduce, Features of Map ReduceVIEW

 

Unit 3 [Book]
Data Scientists, New Era of Data Scientists, Data Scientist model, Sources of Data ScientistsVIEW
Horizontal Data Scientists Versus Vertical Data ScientistsVIEW
Retention of Data ScientistsVIEW
Data Visualization, Types, Issues, Tools in Data VisualizationVIEW
Data Collection, Sampling and Pre-processing, Types of Data SourcesVIEW
Types of Data, Elements, Visual DataVIEW
Exploration and Exploratory Statistical AnalysisVIEW
Missing Values, Standardizing Data, Data Categorization, Weights of Evidence Coding, Variable Selection, Data SegmentationVIEW

 

Unit 4 [Book]
Predictive AnalyticsVIEW
Linear RegressionVIEW
Logistic RegressionVIEW
Decision TreesVIEW
Neural NetworksVIEW
Support Vector MachinesVIEW
Ensemble MethodsVIEW
Multiclass Classification TechniquesVIEW
Evaluating Predictive ModelsVIEW
Descriptive AnalyticsVIEW
Association RulesVIEW
Sequence Rules SegmentationVIEW
Survival Analysis, MeasurementsVIEW
Kaplan Meier AnalysisVIEW
Parametric Survival AnalysisVIEW
Proportional Hazards RegressionVIEW
Extensions of Survival Analysis ModelsVIEW
Evaluating Survival Analysis ModelsVIEW

 

Unit 5 [Book]
Social Network AnalyticsVIEW
Social Network MetricsVIEW
Social Network LearningVIEW
Relational Neighbor Classifier, Probabilistic Relational Neighbor ClassifierVIEW
Relational Logistic RegressionVIEW
Collective InferenceVIEW
EgonetsVIEW
Mobile AnalyticsVIEW
Practices of analytics in GoogleVIEW
Practices of analytics in General ElectricVIEW
Practices of analytics in MicrosoftVIEW
Practices of analytics in KaggleVIEW
Practices of analytics in FacebookVIEW
Practices of analytics in AmazonVIEW
Google AnalyticsVIEW
Practical ApproachVIEW
error: Content is protected !!