Business Analytics Training

Overview

Sapphire Global Business Analytics Training makes you an expert in using Business Analytics concepts. Enroll now for Business Analytics online training and get through the concepts of data, by utilizing the internal memory for storing a working set. Sapphire Global introduces all the key concepts in Data Analytics to help the learner gain more knowledge.

Training Options

INSTRUCTOR LEAD LIVE TRAINING

  • Live Instructor Online training by Certified & industry expert Trainers
  • 24/7 One Demand Dedicated Server for Hands on Practice.
  • Flexibility to attend the class at your convenient time.
  • Earn a Skill Certificate
  • Professional Resume Preparation end of the trading period. 
  • Plus 45 Days of flexible access e- learning.

CORPORATE TRAINING

  • Customized Learning delivery model.
  • Our training practice are perfectly blended with options for effective live instructor lead hands on training.
  • Training need analysis.
  • Our Corporate training services are easy accessibility of LMS ( learning Management System ) online or offline – anytime, anywhere, on any of your devices.
  • 24/7 learner assistance and Support

Course Curriculum

Key features

This course will prepare you to:

  • Explain the architecture of the Business Analytics
  • Configure and use new functionalities in Business Analytics
Introduction to Analytics – Overview
  • Analytics Vs Analysis
  • Summarizing Data
  • Outline Treatment
  • Case : Categorization of data variables
Linear Regression
  • Correlation and Regression
  • Multivariate Linear Regression Theory Bivariate Analysis
  • ANOVA (Analysis of Variance)
  • Case : Multivariate Linear Regression
Logistics Regression
  • Identifying 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 Regression
Decision Tree and Clustering
  • Data Mining and Decision Trees
  • CHAID analysis
  • CART
  • Why and Where to use Clustering
  • Clustering methods
  • K-means Clustering Algorithm
  • Case: CHAID & CART Analysis
Time Series Modeling
  • Models 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 Modeling
Logistic Regression
  • Identify 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 Model
Market Basket Analysis
  • Association Rule – Topic Covered :
  • Affinity analysis to understand purchase behavior Understanding Apriori algorithm
  • Analysis of output results to plan store layout, promotions and recommendations
  • Case : Market Basket Analysis
Live Project
  • Apply all the learnings of the course on one of the assigned websites and create a future actionable plan
Practice Test and Interview Questions

Practice Test and Interview Questions

Course Advisor

Course Advisor

R. Sreenatha Reddy

SAP FICO / FSCM / TRM / FM / S4HANA Functional Consultant

Professional Experience:

15+ years of Industry experience as Accountant, Consultant, Module Lead, worked on various IT Organizations like IBM/TCS/ITC infotech/SAP Labs across the globe.

Specialized in SAP

  • SAP FICO – Financial Accounting.
  • SAP FSCM – Accounts Receivable
  • SAP TRM – Treasury Management
  • SAP BCS – Budget Control System
  • SAP EC CS – Enterprise Controlling Consolidation System
  • BOBJE – Dashboard Enhancement for MIS