Analytics Courses Mumbai

Hello I want to do Analytics Course from Edu Pristine institute I heard that it has one center in Mumbai so please provide me the course description of it

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

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Answered By StudyChaCha Member

I want to do Big Data And Analytics Program from Mumbai so please give me the name of the best College in Mumbai that offer this course?

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