INDIAN STATISTICAL INSTITUTE announces Training Program on Statistical Techniques for Data Mining & Business Analytics



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INDIAN STATISTICAL INSTITUTE announces Training Program on Statistical Techniques for Data Mining & Business Analytics Date: 29-31 August 2011 Venue : Indian Statistical Institute Bangalore Organized by: SQC & OR Unit, Indian Statistical Institute, Bangalore - 560 059, INDIA Phone : +91-80-28483007 (Direct) Fax : +91-80-28484910 (Dir) +91-80-28483002/3/4/5/6 extn. 400/402 +91-80-28484265 Web : http://www.isibang.ac.in e - mail : islam2060@gmail.com & boby@isibang.ac.in

Program Objective 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 Multiple Response Scoring and Classification Methods Market Basket Analysis (frequent item set generation & association rule mining) Basics of Business Forecasting Developing models using Decision Tree Algorithms and Linear, Logistic & Non Linear Regression techniques Identification of Clusters (using K-Mean clustering & Hierarchical clustering Algorithms) Basics of Optimization Techniques using Solver Application Hands on experience on the usage of open source Data Mining Software & build in MS Excel Applications Free Tools (MS Excel Macros) for a. Identification of outliers in Univariate &Multivariate datasets b. Multiple Response Scoring & Classification Methods

Course Content Introduction Fundamentals of statistics Missing value analysis Identification of outliers in univariate & multivariate data sets Cross validation Market basket analysis: Frequent item set generation & association rule mining Basics of business forecasting Decision tree Linear regression Logistic regression Polynomial regression k-nearest neighbors methodology Cluster Analysis: K mean clustering, K mediods clustering, etc Optimization techniques: Linear & Integer programming applications

Course Fee INR 16,545/- per participant (INR 15,000 +10.3 % service tax) or US$ 350 for overseas participant (inclusive of course material, kit, lunch & snacks).total fee to be paid in full along with the application by Demand Draft favoring Indian Statistical Institute payable at Bangalore. Seats are limited. Enrolment on First-Come-First- Serve basis. Category Institute Client or Self Sponsored Group Nomination ( 3 nominations) Discount (per participant) 1,500 10 % of total Important Dates Last date of submission of nominations: 26 th August 2011 Program dates: 29-31 August 2011 & Timing: 9:30 hrs 17:30 hrs Venue: Indian Statistical Institute, Bangalore Contact: Program Director DMBA07, SQC & OR Unit, Indian Statistical Institute, 8 th Mile, Mysore Road, Bangalore 560059, INDIA Fax: +91-80-28484910 / 28484265 Phone: + 91-80-28483 007 email: islam2060@gmail.com & boby@isibang.ac.in

Indian Statistical Institute 1. Indian Statistical Institute is a quasi central organization under the Ministry of Planning. 2. It is declared by an Act of Parliament as an Institute of National Importance. 3. Over the years, the Institute has grown as a multi-disciplinary organization. 4. It functions as a University empowered to award degrees up to Ph.D.; as a Corporation in undertaking large scale projects; as a Firm of Consultants to industries to improve Quality, Reliability & Efficiency and as a Meeting place of Scientists, Economists & Literary figures from all parts of the world. Role & Function of SQC & OR Division 1. The pioneer and leader in blending statistical theory with practice and institutionalizing the continuous improvement process into a sustaining system. 2. To strengthen national economy through continual search for excellence in Quality. 3. To disseminate the basic concepts and techniques for Quality Improvement by organizing Training programs, Workshops and In-house programs. 4. To develop highly skilled professionals capable of self actualization. 5. To help industries in their efforts to cope up with the growing challenge of global competition through implementation of quality system based on ISO-9000 series, ISO- 14000, QS-9000 standards, Six Sigma & World Class Manufacturing. 6. To continually develop and improve methodologies through applied research efforts to attain International Standards in services provided.