02 Business Analytic and Data Mining Nov12
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Business Analytic & Data Mining 4 Days Program: 27 th (Tue)-30 th (Fri) Nov’12 *Number of Participants will be limited. Service will be on first come first serve basis. At Hotel Central Park, Bund Garden Road, Pune Indian Statistical Institute www.sqcpune.org It is a unique institution, devoted to the research, teaching & application of not only statistics and allied sciences, but also the natural sciences, social sciences and their interface with the statistics. Founded by Prof. P. C. Mahalanobis, a Physicist turned Statistician; the Institute has been accorded the status of an INSTITUTE OF NATIONAL IMPORTANCE, by an Act of Parliament, 1959. About Indian Statistical Institute INDIAN STATISTICAL INSTITUTE, PUNE: B-WING, 3RD FLOOR, FLAT B-9, ANANDAVAN CO-OP. HSG. SOC., NEAR GANDHI BHAVAN, S. NO. 36 KOTHRUD, PUNE-411038 PH. www.sqcpune.org Other Upcoming Programs Six Sigma Master Black Belt: 14 Day Program: 24 th Nov’12- 8 th Dec’12 Six Sigma Green Belt: 5 Day Program: 28 th Nov’12-2 nd Dec’12 Lean Six Sigma: 2 Day Program: 3 rd (Mon) – 4 th (Tue) Dec’12 Design for Six Sigma: 3 Day Program: 5 th (Wed) to 7 th (Fri) Dec’12 Six Sigma Black Belt: 10 Day Weekend Program: 15-16 th , 22-23 rd Dec’12, 5-6 th , 12-13 th , 19-20 th Jan’13 For details refer to www.sqcpune.org
Transcript of 02 Business Analytic and Data Mining Nov12
Business Analytic & Data Mining
4 Days Program: 27th (Tue)-30th (Fri) Nov’12 *Number of Participants will be limited. Service will be on first come first serve basis.
At Hotel Central Park, Bund Garden Road, Pune
Indian Statistical Institute www.sqcpune.org
It is a unique institution, devoted to the research, teaching & application of not only statistics and
allied sciences, but also the natural sciences, social sciences and their interface with the statistics.
Founded by Prof. P. C. Mahalanobis, a Physicist turned Statistician; the Institute has been accorded
the status of an INSTITUTE OF NATIONAL IMPORTANCE, by an Act of Parliament, 1959.
About Indian Statistical Institute
INDIAN STATISTICAL INSTITUTE, PUNE: B-WING, 3RD FLOOR, FLAT B-9, ANANDAVAN CO-OP. HSG. SOC., NEAR
GANDHI BHAVAN, S. NO. 36 KOTHRUD, PUNE-411038 PH. www.sqcpune.org
Other Upcoming Programs
Six Sigma Master Black Belt: 14 Day Program: 24th Nov’12- 8th Dec’12
Six Sigma Green Belt: 5 Day Program: 28th Nov’12-2nd Dec’12
Lean Six Sigma: 2 Day Program: 3rd (Mon) – 4th (Tue) Dec’12
Design for Six Sigma: 3 Day Program: 5th (Wed) to 7th (Fri) Dec’12
Six Sigma Black Belt: 10 Day Weekend Program: 15-16th, 22-23rd Dec’12, 5-6th, 12-13th, 19-20th Jan’13
For details refer to www.sqcpune.org
Program Objective
This program is designed to guide business analytics professionals in analysing large quantities of
data in order to extract previously unknown interesting patterns such as groups of data records
(cluster analysis), dependencies (association rule mining), classification of data, reduction of data
dimension and predictive analytics.
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
Who can benefit?
Participants who can derive benefits out of the course are:
Business Analysts, Market Researchers, Strategic Consultants, Financial Analysts, Researchers,
Professionals from Sales, Marketing, Supply Chain, CRM and R&D
Prerequisites
Participants are expected to have knowledge of basic statistical techniques, application and
interpretation. Prior exposure to data analysis is recommended
Certification
Participants will be awarded Certificate by Indian Statistical Institute, Pune
Course Content
Classification Discriminant Analysis
Logistic Regression
Nearest Neighbour Rule
Bayesian Classifier
Decision Tree and CART
Clustering Hierarchical clustering
K-Means method
Association Mining Market Basket Analysis
Frequent item set Generation
Association Mining
Dimension Reduction Principal Component Analysis and Applications
Prediction Business Forecasting
Polynomial Regression
Outlier Analysis
Schedule
4 Days Program: 27th (Tue)-30th (Fri) Nov’12
9:30 am to 5:00 pm
Location
The Central Park Hotel, Near INOX Multiplex, Bund Garden Road, Pune 411001
Website: www.thecentralparkhotel.com
Course Fee
INR 25,000/- per participant. (Plus service tax @12.36% ie., INR 3,090)
Note :
1. To avail discount for self sponsored and corporate groups of 3 or more please email us
2. The above fee is also inclusive of Course Material, Breakfast, Lunch and Refreshments.
3. For registration procedure please refer to the registration form available at
http://www.sqcpune.org/training-programs/training-calendar or email us for the same
Registrations should reach ISI, Pune office latest by 19th (Mon) Nov’12. As this is a limited seat program seats might fill up before the last date. Service would be on first come first serve basis.
Contact Details
Website: www.sqcpune.org
Email: [email protected]
Mobile: 07507500660
Faculty: Prof. Subrata Rath and Dr. D. T. Shirke
Prof. Subrata Rath
Years Of Experience: 18 years.
Area Of Specialisation: Statistical Quality Control and Operations Research.
Teaching, Training, Consulting in the field of:
- Business Performance Improvement Initiative (Six Sigma) - Employee Involvement (TQM, Kaizen, TPM, Employee Satisfaction Survey, Scientific
Performance Appraisal) - Quantitative Skill Enhancement (SPC, SQC, DoE, Taguchi Methods) - Quality Management Systems (ISO, QS, TS) - Environmental Management Systems (ISO-14000) - Statistical Application
Education: B.Sc. Hons. in Statistics (Calcutta University), M. Stat. (Indian Statistical Institute, 1988),
Post M. Stat. Dip. in SQC & OR, 1989, Fellow: Specialist Development Programme (Indian Statistical
Institute, 1993).
Experience:
Serving the industries and research community in the field of quality and business management in
the capacity of:
- Technical Officer, SQC & OR Unit, ISI, Bangalore and Mumbai, - Head, SQC & OR Unit, ISI, Mumbai and - Head, SQC&OR Unit, ISI, Pune
While serving:
- ARAI (DoE, Six Sigma and Design For Six Sigma with a number of projects to improve engineering applications for Auto sectors)
- L&T, Heavy Engg. Division, Hazira (Six Sigma Survey)
- Reliance Industries Ltd., Hazira (Six Sigma, TPM, Kaizen,Applications in Engineering designs)
- Asian Paints Ltd. (DFSS) - Sankalpan Architecture (ISO-9001:2000) - TechNova Imaging Systems Ltd., Taloja
(Projects, ISO-9001,2000, The Six Sigma Way & SQC Project studies)
- Marico Limited, Mumbai (Six Sigma) - Ispat Industries Ltd. - ACC Cement (Problem Solving Approach) - HEG Ltd., Bhilwara Group - Johnson & Johnson, Ethicon Division, Asia
Pacific (Six Sigma)
- Indorama Industries Ltd., Thailand, (Six Sigma)
- Reliance Industries Ltd., Patalganga (Six Sigma)
- IPCL, Nagothane (SPC) - Grasim Industries Ltd.( TPM, SPC, DoE) - Indian Oil Industries Ltd. - Bharat Petroleum Corpn. Ltd. - Bharat Shell Ltd., (QS-9000) - Greaves Ltd., Pune - Kirloskar Power Electricals Ltd., Pune - Exide Industries Ltd., Mumbai - Hind Rectifier Ltd., Mumbai - Mehan & Associates (HR Data Analysis) - DaimlerChrysler India Ltd. (Former Mercedes
Benz) (Kaizen & Employee Satisfaction Survey)
- Gulf Oil Ltd. (QS-9000) - Ordinance factories (SPC) - Maral Overseas Limited (Six Sigma) - to name a few.
Dr. D. T. Shirke
Elected Member International Statistical Institute, Netherlands
Life Member, International Indian Statistical Association
Life Member, Indian Society for Probability and Statistics
Designation : Professor and Head at Department of Statistics, Shivaji University, Kolhapur, INDIA
Educational Background :
Master of Science (Statistics), Shivaji University, Kolhapur
Doctor of Philosophy (Statistics) , Shivaji University, Kolhapur
Teaching, Training, Consulting in the field of:
- Statistical Process Control and Design of Experiments - Multivariate Data Analysis - Data Mining - Open Source Software for Statistical Analysis.
Current Research Interests: Statistical Modelling and related inference, Statistical Control Charts,
Data Mining and computational statistics
Research Schemes/Projects : Completed 4 UGC sponsored and 1 DEC sponsored research projects
Research Publications : More than 30 Publications in peer reviewed National and International Journals in the area of Statistical Modelling, Inference, Simulation, Statistical Process Control, Regression Analysis etc. Some of the Journals in which papers are published are- Communications in Statistics(Theory and Methods/ Simulation and Computations), Jr. Indian Society for Prob. & Statist, Epidemiology, Health and Population, Jr. Indian Statistical Association, Journal of Statistical Computation and Simulation, Journal of Applied Statistics, Statistical Methodology, Journal of Statistics and Applications, International Journal of Statistics and Management Systems, Quality Technology and Quantitative Management, International Journal of Intelligent technologies, . J. Indian Med. Assoc., Economic Quality Control etc.
Particulars about research work directed M.Sc./ M. Phil./Ph.D. : Guided 8 M. Phil and 6 Ph. D. candidates. 8 students are working for Ph. D. Collaborative Research Work :
1. Prof. D. Kundu, Deptt. of Mathematics, Indian Institute of Technology, Kanpur, INDIA 2. Dr. P. V. Pandit. Bangalore University, Bangalore. INDIA 3. Prof. Sneh Gulati, Florida International University, Miami. USA 4. Dr. S. V. Kakade, Krishna Institute of Medical Sciences Deemed University, Karad
Participation in National/International Conferences/Workshops :
Academic visits abroad : Portugal, Germany, USA. Associated with : Central University of Rajasthan, Bangalore University, Karnataka University, North Maharashrta University, Consultancy Co-ordinator: Statistical Quality Control and Operations Research Unit at Shivaji University, Kolhapur. On-site training programmes and consultancy services are being extended through this Unit to Industries and researchers.
