Executive Program In Data Mining and Analytics

Executive Program In Data Mining and Analytics

IIT Roorkee
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Course Objective

This programme is designed to provide comprehensive knowledge and application of Data Mining and Analytics as an efficient aid to effective decision making process. At the end of the programme, participants must be able to understand data, methods of quantitative analysis, concepts of data mining, data warehousing, predictive, descriptive and prescriptive analytics, such as insight into advanced applications including Social Media Data Analytics, Anomaly Detection etc.
Who Should Attend
Working executives with knowledge of Database Management Systems who have an acumen and interest in Data Mining and Analytics and who wish to complement and upgrade their knowledge in different practical and relevant aspects of this domain, based anywhere in the world, can enroll for these programme.
For Indian Participants

 Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline

 Working Professionals

 Formal or informal knowledge of Database Management Systems

For International Participants

 Graduation or equivalent degree from any recognized University or Institution in their respective country

 Working Professionals

 Formal or informal knowledge of Database Management Systems

A minimum of 70% attendance to the LIVE lectures is a prerequisite for the successful completion of this programme. There may be periodic evaluations built in throughout the duration of the course. These may be in the form of a quiz, assignment, project or other objective/subjective assessments as relevant and applicable to the programme and are designed to ensure continuous student engagement with the course and encourage learning. While the results/feedback on such assignments will be provided, no consolidated mark or grade sheets shall be distributed to the Participants at the end of the course
The classes for this programme will be held through LIVE lectures that will be beamed online via internet to student desktops/laptops or classrooms using Talentedge’s Direct To Device platform. The pedagogy will comprise of lectures and case discussions imparted by IITRoorkee’s faculty. Select industry experts would also be included to provide practical insights.
All participants will also be granted 24X7 access to Talentedge’s Cloud Campus comprising of learning aids, study materials, reference materials, assessments, case studies and assignments etc. as per the requirement of the programme. Students can chat real time with the professors during the live class and also post all other programme related queries offline on the Cloud Campus.

IIT Roorkee

The Indian Institute of Technology Roorkee completed 150th year of its existence in October 1996. On September 21, 2001, an Ordinance issued by the Government of India declared it as the nation's seventh Indian Institute of Technology. The Ordinance is now converted into an Act by the Parliament to make IIT, Roorkee as an "Institution of National Importance".
Since its establishment, the Institute has played a vital role in providing the technical manpower and know-how to the country and in pursuit of research. It ranked amongst the best technological institutions in the world and has contributed to all sectors of technological development. It has also been considered a trend-setter in the area of education and research in the field of science, technology, and engineering.
The Institute offers Bachelor's Degree courses in 10 disciplines of Engineering and Architecture and Postgraduate's Degree in 55 disciplines of Engineering, Applied Science, Architecture and planning. The Institute has facility for doctoral work in all Departments and Research Centres. 
IIT Roorkee is ranked 4 by India Today’s survey on India’s Best Engineering Colleges in 2014. The QS World University Rankings 2014 ranks IIT Roorkee amongst the top 500 across the globe and 70 in Asia. 

Course Benefits

 Certificate from IIT Roorkee

 Lectures imparted by eminent faculty from IIT Roorkee and industry professionals

 Unique insights into critical aspects of Data Mining and Analytics

 Course content and structure designed by IIT Roorkee

 Talentedge's D2D advantage, which allows working professionals the freedom to fast tracktheir careers without quitting their jobs via an interactive, 'better-than-classroom' learning experience that can be pursued anywhere

 Talentedge's Cloud Campus, which gives students access to course presentations, projects, case studies, assignments and other reference materials

 Easy access from anywhere – all one needs is a 512 kbps steady internet connection

 Convenientweekend schedules – Classes on Sunday mornings




The Executive Programme in Data Mining and Analytics will comprise of the following key modules.
1. Introduction to Data Mining and Data Analytics

 Motivation and Significance of Data Mining

 Data Mining Functionalities

 Interestingness Measures

 Classification of Data Mining System

 Major Issues in Data Mining

2. Understanding Data and Data Pre-processing

 Motivation and Significance

 Data Summarization

 Data Cleaning

 Data Integration and Transformation

 Data Reduction Techniques

 Data Discretization & Concept Hierarchy Generalization

3. Data Management, Warehousing and OLAP Technology

 Data Warehouse Definition

 Multidimensional Data Models

 Data Warehouse Architecture

 OLAP Server Types

 Overview of Online Analytical Processing and Mining

4. Data Cube Computation and Data Generalization

 Efficient Methods for Data Cube Computation

 Discovery Driven Exploration of Data Cubes

 Complex Aggregation

5. Descriptive Analytics – Cluster Analysis


 ClusteringAlgorithms – Partitioning, Hierarchical, Density Based, Grid Based, Model Based

 ConstraintBased Cluster Analysis

 Outlier Analysis – Density Based and Distance Based

6. PredictiveAnalytics – Classification and Prediction


 Decision Tree Induction

 Lazy Learners - Bayesian Classification

 Rule BasedClassification

 Classification by Backpropogation and Support Vector Machines


 Accuracy and Error Measures

7. Mining Frequent Patterns, Associations and Correlations

 Basic Concepts

 Frequent Itemset Mining Algorithms

 Mining Various Kinds of Association Rules – Multilevel and Multidimensional

 Association Rule Mining Vs Correlation Analysis

 ConstraintBased Association Mining

8. Prescriptive Analytics and Advanced Applications

 Time Series Data Analytics

 Text and Social Media Data Analytics

 Analysis of Data Streams

 Anomaly Detection

9. Practice On Tools

 Open Source Toolkit – WEKA





Course Schedule & Duration

Batch Number: DT-01-0915-01
Date of Course Commencement: 06 September 2015
Duration of the Course: September 2015 to January 2016
Schedule of Classes: 2.5 hours every Sunday from 11.00 a.m. to 01.30 p.m. IST


Program Fee

. For Indian Residents For International Students
Application Fee Registration Fee 20,000+Taxes USD 450
Balance Fee 30,000+Taxes USD 650
Total Fee 50,000+Taxes USD 1100

Additional Service tax applicable for indian residents

Payment and Instalment Schedule

. For Indian Residents For International Students
Application Fee Registration Fee
20,000+ Tax to be paid online at the time of submission of the online application form.
Last Date: 31 Aug 2015
USD 450 to be paid online at the time of submission of the online application form.
Last Date: 31 Aug 2015
Installment 1
Through DD/PO/Online/Direct Account transfer
On or Before: 31 Aug 2015
USD 200 Through DD/PO/Online/Direct Account transfer
On or Before: 31 Aug 2015
Installment 2
Through DD/PO/Online/Direct Account transfer
On or Before: 31 October 2015
USD 450 Through DD/PO/Online/Direct Account transfer
On or Before: 31 October 2015


Application Process

All applications for this course must be made through an Online Application Form. Before filling up the Online Application Form please ensure that you follow the checklist below and have all necessary details & documents on hand.

In case payment is being made online through Credit Card, please ensure that you have the Credit Card with you at the time of filling out the Application Form.

Please ensure that you have the scanned soft copy of your graduation/diploma mark sheet, provisional degree/diploma certificate or degree/diploma certificate to be uploaded as a part of the application form.

Once you have completed the Application Form, please print and retain a copy of the same for your records and reference.

If you have opted to pay the Instalments of the Fee though Demand Draft/Pay Orders, then please ensure that the Demand Draft/Pay Orders for the applicable amount is made favoring "Arrina Education Services Private Limited", payable at Mumbai, and is sent to the address provided below. Please ensure that you write your Name, Enrollment ID, Course Name, Contact number and Email ID at the back of your Demand Draft/Pay Order. All Demand Draft/Pay Orders along with a print out of your Online Application Form must be sent to.

Student Relations Manager,
TALENTEDGE, Unit Nos. 405-407, 4th Floor, Tower B,
Spaze IT Tech Park, Sector 49,
Sohna Road, Gurgaon 122001, Haryana, INDIA




Faculty Profile

Dr. Durga Toshniwal

Dr. Durga Toshniwal

Ph.D. (IIT Roorkee)                                              


Dr. Durga Toshniwal is working as Associate Professor at the Department of Computer Science & Engineering, Indian Institute of Technology Roorkee, India. Previously she worked as a Software Consultant in USA for some years and then pursued her research in data mining. Some of her areas of research interests include – time series data mining, applying soft computing techniques in data mining, web mining, privacy preserving data mining, data stream mining, and text mining. Dr. Durga has published her research work in several international journals and conferences. She has attended, chaired sessions and presented her work in several reputed international conferences in USA, UK, Australia, and Europe. She has also given Webinars in the area of Data Mining and Analytics.

Dr Durga has received various awards and honours. Some recent ones are - IBM Faculty Award 2012 and 2008, Award from UNESCO Chair in Data Privacy 2010, and the very prestigious IBM Shared University Research Award 2009 for her research projects. Her research work has also been featured in DataQuest, the leading IT Magazine in India in the DataQuest issue of Feb 15, 2010 in the article entitled “Towards a Greener Planet”.



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