#1
| |||
| |||
![]() |
#2
| |||
| |||
![]()
Edu Pristine is India's largest training provider for international certifications like CFA® Program, FRM®, PRM®. It has been found by industry professionals who have worked in the area of investment banking and private equity in organizations such as Goldman Sachs, Crisil - A Standard & Poors Company, Standard Chartered and Accentors. As you asked about the course content given below is the course content for you of Business Analytics form Edu Pristine Day 1: Introduction and Data Analytics Introduction to Analytics - Overview Analytics v/s Analysis Business Analytics Business domains within Analytics Data - Topic covered Summarizing Data Data Collection Data Dictionary Outlier Treatment Case: Categorization of data variables Exploring credit card customer database to define the variable types and categorizing each type into relevant group. Tool for Practice in Class MS Excel Introduction to Commonly used Tools in Analytics R Software SAS Language Pre Class Requirement Download and Install R from Install MS Excel (2007 or 2010) Check for your online Account details along with SAS Language Lab Hours Online Course Material Be familiar with Case study to be discussed in the class Post Class Assignment Practice the case study discussed in the class and watch the video tutorials on Basic statistic (provided as pre-requisites material) Day 2: Multichannel Segmentation Multichannel Segmentation – Topic Covered Identify differences in behavior of online, in-store & multi-channel shoppers Identify the size of the opportunity for growth and begin to identify the methods to achieve it The value of the different shopper groups Key measures to look at: Spend per visit Spend per shopper Units per visit Units per shopper Frequency of Purchase (Visits per shopper) Case : Retail Analytics Case Synopsis : Understanding the value opportunity of focusing on the different shopper groups and framing analysis to better understand the multi-channel shoppers. Domain Covered Retail Industry Tool for Practice in Class R Tool for Demonstration SAS Language Pre Class Requirement Ensure R is installed in your system Ensure MS Excel (2007 or 2010)is installed Properly plan your practice SAS Language Lab Hours Be familiar with Case study to be discussed in the class Post Class Assignment Practice the case study discussed in the class in SAS Language Expected Lab hours required is 5 Day 3 & 4: Linear Regression Linear Regression – Topic Covered Correlation and Regression Multivariate Linear Regression Theory Coefficient of determination (R2) and Adjusted R2 Model Misspecifications Economic meaning of a Regression Model Bivariate Analysis ANOVA (Analysis of Variance) Multivariate Linear Regression Model Variable identification Response variable exploration Distribution analysis Outlier treatment Independent variables analyses Heteroskedasticity detection and correction Multicollinearity detection and correction Fitting the regression Model performance check Case: Multivariate Linear Regression Identify and Quantify the factors responsible for loss amount for an Auto Insurance Company Domain Covered Insurance Industry Tool for Practice in Class MS Excel and R Tool for Self Practice SAS Language (Step wise details will be provided in PowerPoint) Pre Class Requirement Ensure R is installed in your system Ensure MS Excel (2007 or 2010)is installed Properly plan your practice SAS Language Lab Hours Be familiar with Case study to be discussed in the class Post Class Assignment Practice the case study discussed in the class in SAS Language Expected Lab hours required is 10 Day 5 & 6: Logistic Regression Logistic Regression – Topics Covered Identifying problems in fitting linear regression on data having "Binary Response" variable Introduction to Generalized Linear Modeling (GLMs) Logistic Regression Theory Logistic Regression Case Variable identification Response variable exploration Independent variables analyses Fitting the regression using SAS language Scoring equation Model diagnostics Analysis of results Check for reduction in Deviance/AIC Model performance check Actual vs Predicted comparison Lift/Gains chart and Gini coefficient K-S stat Score Card Development Case: Multivariate Logistic Regression Identify bank customers who will most likely default in making the payment on balance due. Domain Covered Banking Industry Tool for Practice in Class R Tool for Demonstration SAS Language Pre Class Requirement Ensure R is installed in your system Ensure MS Excel (2007 or 2010)is installed Properly plan your practice SAS Language Lab Hours Be familiar with Case study to be discussed in the class Post Class Assignment Practice the case study discussed in the class in SAS Language Expected Lab hours required is 10 Day 7: Decision Tree and Clustering Decision Tree & Clustering – Topic Covered Data Mining and Decision Trees Decision Tree Example CHAID analysis Method and Algorithms Running the CHAID analysis and Interpreting the results CART Method and Algorithms Running the CART analysis and Interpreting the results When to use CART and when to use CHAID Defining Clustering Why and Where to use Clustering Clustering methods Clustering examples K-means Clustering Algorithm Day 8: Time Series Modeling Time Series Modeling – Topic Covered Models of time series Moving averages Autoregressive Models The Box-Jenkins model building process Model Estimation Model Validation Model forecasting Identify the ARIMA model Estimate the best ARIMA models Validate the model Forecast the sales based on model Case: ARIMA Modeling Forecasting future sales based on historical data for an automobile company Domain Covered Automobile Industry Tool for Practice in Class R Pre Class Requirement Ensure R is installed in your system Ensure MS Excel (2007 or 2010)is installed Be familiar with Case study to be discussed in the class Post Class Assignment Practice the case study discussed in the class in R Expected hours require for practice is 5 Contact detail 7th Floor, 702, Raaj Chambers, Old Nagardas Road, Near Andheri Subway , Andheri East 400069
__________________ Answered By StudyChaCha Member |
#4
| |||
| |||
![]()
SP Jain School of Global Management Mumbai offers professional certificate program in Big Data And Analytics Program (BDAP) as a 1 Year part time and 6 months full time Program Structure: The 360-hour BDAP program includes: • 240 HOURS of classroom instruction • 48 HOURS of lab sessions • 54 HOURS of projects/hands-on learning • 18 HOURS of industry interaction Eligibility Criteria: Candidate must have undergraduate/postgraduate degree in a discipline with a strong quantitative component like: Engineering (any discipline) | Mathematics | Physics | Statistics | Economics Two or more years of relevant work experience is strongly preferred Program Fees: Total Tuition Fees: INR 6,00,000 Contact Details: SP Jain School of Global Management - India Liaison Office 533, Kalbadevi Road, Dhobitalao, Kalbadevi, Mumbai, Maharashtra 400002
__________________ Answered By StudyChaCha Member |