BUSINESS ANALYTICS COURSE
Course
Online
Description
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Type
Course
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Methodology
Online
We create 2.5 quintillion bytes of data every day. So much that 90% of the data in the world today has been created in the last two years.
Business Analytics has thus created opportunities like never before. EduPristine and Dun & Bradstreet's Business analytics certification program will give you the edge in the competitive market.
Reviews
Subjects
- Business IT
- Business
Course programme
- Introduction to Analytics - OverviewAnalytics v/s Analysis
- Data - Topic covered• Summarizing Data
- • Outlier Treatment
- Case: Categorization of data variablesExploring credit card customer database to define variable types & categorizing them.
- Introduction to SAS -OverviewMaking familiar with SAS Language
- Introduction to R Studio -OverviewMaking familiar with R Studio Language
- Linear Regression – Topic CoveredCorrelation and Regression
- Multivariate Linear Regression Theory
- Bivariate Analysis
- ANOVA (Analysis of Variance)
- Case: Multivariate Linear RegressionIdentify and Quantify the factors responsible for loss amount for an Auto Insurance Company
- Domain CoveredInsurance Industry
- Tool for PracticeSAS Language
- Logistic Regression – Topics CoveredIdentifying problems in fitting linear regression on data having "Binary Response" variable
- Generalized Linear Modeling (GLMs)
- Logistic Regression Theory/Case
- • Fitting the regression using SAS language
- • Lift/Gains chart and Gini coefficient
- • K-S stat
- Case: Multivariate Logistic RegressionIdentify bank customers who will most likely default in making the payment on balance due.
- Domain CoveredBanking Industry
- Tool for PracticeSAS Language
- Logistic Regression – Topics CoveredIdentify and develop Dependent variable
- Prepare correlation matrix and VIF chart
- Variable reduction through Multicollinearity
- Perform Binning to prepare modeling dataset
- Run the model
- Write the Scoring or implementation strategy
- Case: Up-Sell ModelPropensity Model for Up-Sell in Telecom Industry
- Domain CoveredTelecom Industry
- Tool for PracticeSAS Language
- Sentimental AnalysisProcess of detecting the contextual polarity of text to find whether a piece of writing is positive, negative or neutral.
- Domain CoveredSocial
- Tool for PracticeR Studio
- Decision Tree – Topic CoveredData Mining and Decision Trees
- CHAID analysis
- CART
- Case: CHAID & CART AnalysisIdentifying the classes of customer having higher default rate
- Tool for PracticeR Studio
- Clustering - Topic CoveredWhy and Where to use Clustering
- Clustering methods
- K-means Clustering Algorithm
- Case: K-means ClusteringIdentifying similar groups in database containing auto insurance policy records using K-means Clustering
- Domain CoveredInsurance
- Tool for PracticeSAS Language
- Association Rule – Topic CoveredAffinity analysis to understand purchase behavior
- Understanding Apriori algorithm
- Analysis of output results to plan store layout, promotions and recommendations
- Case : Market Basket AnalysisUnderstanding apriori algorithm to identify affinity among the purchase data in the basket based on historical transactions.
- Domain CoveredRetail Industry
- Tool for PracticeSAS Language
- Logistic Regression – Topics CoveredModels of time series
- The Box-Jenkins model building process
- Identify the ARIMA model.
- Forecasting future sales based on historical data for an automobile company.
- Case 1: Time Series Modeling using R
- Case 2: ARIMA ModelingIdentify bank customers who will most likely default in making the payment on balance due.
- Domain CoveredAutomobile Industry
- Tool for PracticeR Studio
BUSINESS ANALYTICS COURSE