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July 13th, 2016, 11:50 AM
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Join Date: Mar 2012
Re: Business Analyst IIT Bombay

The Business Analyst course is provided by IIT Bombay. Advanced Certificate Program in Business Analytics will build the students' problem structuring, decision analysis, and systems modelling skills.

Experienced faculty and researchers in the areas of strategy support, systems analysis, and business decision making will equip students for a career in Management Consultancy or as a Business Analyst.

Eligibility:
Candidates have degree in Professionals with minimum 50% marks in Graduation

Duration:
One year

Course Content
Part 1: Introduction to Analytics - 22 sessions

IOL: 17 sessions
Assessments: 5 sessions
Campus: 3 days

1. Introduction to Statistics & Econometrics - 4 sessions (12) + 1 session assessment
Basic Probability Theory

Probability Theory
Conditional Probability And Bayes' Theorem
Random Variables
Density And Distribution Function
Joint, Marginal And Conditional Distribution
Moment Generating Function
Law Of Large Numbers And Central Limit Theorem
Theory Of Estimation And Statistical Inference
Point And Interval Estimation
Maximum Likelihood And Method Of Moment Estimation
Hypothesis Testing
Types And Size Of Error
Power Of A Test
2. Regression - 3 sessions (9) + 1 session assessment
Regression Analysis

Econometric Models
Simple Linear Regression Model
General And Confidence Approach To Hypothesis Testing
Logistic Regression
What to look for in Logistic Regression
Comparison of Discriminant and Logistic Regression
Extending The Regression Analysis
Goodness Of Fit
Model Evaluation
Relaxation Of Assumptions In Regression Model
Consequences And Remedial Measures
3. Time Series Analysis - 4 sessions (12) + 1 session assessment
Introduction to Time Series Analysis

Autocorrelation and partial autocorrelation
Conditions for stationary and invertible process
Box-Jenkins approach
Models for Stationary Time Series
Auto Regressive Processes
Moving average models
ARMA Models
Modeling & Forecasting with ARMA Models
4. Panel Data Econometrics - 2 sessions (6) + 1 session assessment
Static Panel Data Models
Fixed effects, Random effects, Random coefficients
Dynamic Panel Data Models
Models with lagged dependent variable, Estimation, Simultaneous equation panel data models,
Generalised method of moment estimation

5. Segmentation Methods - 4 sessions (12) + 1 session assessment
Cluster Analysis
Factor Analysis
Discriminant Methods


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