Loading Events

One Week Training Program on Statistical Techniques for Business Analytics (STBA-2017)

Introduction

Business analytics refers to the skills, technologies, practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. It requires analysis of data using statistical and quantitative techniques. The programme is planned to impart basic skill of data analysis using appropriate statistical techniques.

Programme Objectives

This program is designed to guide business analytics professionals in extracting implicit, previously unknown and potentially useful knowledge from large data sets, developing performance models & usage of optimization techniques.

Program Benefits

The participants will acquire the knowledge on, various statistical and analytical techniques requires for data mining. All the topics will be covered using R -studio and SPSS.

The invited speakers from DoMs-IISc  Bangalore, IIT Kharagpur, IIT Delhi, TIFR, Mumbai,  Infosys Bhubaneswar, IBM Bangalore, IIM Lucknow, TCS Mumbai. ISI Kolkota, ISB Hydrabad.

Topics to be covered

Introduction to Analytics
Introduction to R studio
Descriptive Statistics
Test of Hypothesis
Normality Test
Analysis of Variance
Classification and Regression Tree
Discriminate Analysis

Cross Tabulation & chi-Square
Factor Analysis & Cluster Analysis
Correlation and Linear Regression
Principal Component Regression
Binary Logistic Regression
Modelling Nonlinear Relationship
Association Rule Mining
Case Study with R

Resource person

Sl. No Name & Designation Institute Field of Interest/ specialization
1 Prof Parameshwar P Iyer IISc Banglore Data Analytics
2 Prof. Damodar Suar IIT Kharagpur Structural Equation Modelling. Analysis of Variance
3 Prof.C.A.Murthy ISI Kolkota Principal Component Regression
4 Prof.P.K.J.Mohapatro IIT Bhubaneswar Singular Value Decomposition
5 Dr.Anindya Ghose ISB, Hyderabad Cross Tabulation & chi-Square
6 Prof. Rudra Pradhan IIT Kharagpur Multivariate Analysis
7 Prof.Arbind Tripathy IIM, Ahmadabad Test of Hypothesis
8 Prof Kamalakar Karlapalem ISB, Hyderabad Data Engineering
9 Mr.Lokanath Sahu TCS, Pune Analytics skill
10 Ms.Lavanya Marla IBM, Kolkota Multiple regression
11 Dr.Sachi Nandan Mohanty KIIT University R-Studio, CASE Study
12 Prof. U Dinesh Kumar IIM Bangalore Decision Sciences and Information Systems
13 Prof. Arnab Kumar Laha IIM Ahmedabad Production and Quantitative Methods
14 Prof. Ruchi Mishra. BIMTECH, Greater NOIDA Operations and Decision Sciences
15 Prof. Sujoy Bhattacharya Vinod Gupta School of Management, IIT Kharagpur Consumer Behaviour Analysis

Course Fees for Participants

Industry Person 20000(INR)
Academic Faculty 15000 (INR)
Academic student 5000 (INR)

Accommodation

Category A:
Double room A/C accommodation
2500(INR) KIIT guest house

Category B:
Single Sharing A/C accommodation
1500(INR) KIIT guest house

Payment Method

Make a demand draft in favor of KIIIT University,  payable at Bhubaneswar


DOWNLOAD REGISTRATION FORM

Word Document
PDF Document

Course Coordinator

Dr.Sachi Nandan Mohanty
Asst.Prof. School of Computer Engineering
KIIT University
Bhubaneswar

Email: [email protected]
Mobile: 9437322121

Prof. Parameshwar P Iyer
Principal Research Scientist, Management Studies
IISc Bangalore

Email: [email protected]