About the Workshop
Decision making has become complex in today’s VUCA world. Organizations are focusing on data modelling to leverage information
and gain insights to drive the business. Analyzing meaningful data is also critical for policymaking. Statistical modeling and data science
techniques help in decision making and formulation of business strategies.
This workshop will enable participants to explore and analyze their own research practices systematically; and utilize modelling techniques
effectively in their various research endeavors with primary and secondary data. The workshop will sensitize participants to build the
models for addressing various business research problems.
Objective of the Workshop
The three days’ workshop on Advanced Statistical Modelling and Data Science is designed to provide hands-on training to develop and validate models using R (software: R, RStudio).
- Introduction to Modelling Techniques
- R programming for Machine Learning and Visualization
- Exploratory and Confirmatory Factor Analysis (CFA); Measurement Model Assessment; and Model Fit Indices (Validity and Reliability Testing)
- Association Rule Mining and Market Basket Analysis
- Introduction to Regression Techniques and Structural Equation Modelling
- Structural Model Assessment with R
- Introduction to Classification Techniques
- Logistic Regression with R
- Advanced Level Modelling (Moderation/Mediation/Multi-group Analysis/Interaction Effect)
- Introduction to Unsupervised Learning
The methodology would include discussion, demonstration and hands-on experience with software. Participants are requested to bring laptops along with them.
Academicians, Industry Practitioners, Research Scholars and Doctoral Students
Program Dates and Timing
May 24-26, 2019
9.30 AM – 5.00 PM
Institute of Management Technology
Raj Nagar, Post Box No. 137
Ghaziabad, Delhi NCR 201001, India
The registration form duly filled in along with the program fee should reach us at least 7 days before the commencement date of the program. In case of subsequent withdrawal or cancellation of registration no refund of fee will be allowed. However, substitute(s) may be permitted with prior intimation.
|Registration Fees Details|
|Fees||Registration fee + GST|
Participants are requested to register by filling the online registration form after the payment has been successfully completed. Please mail screenshot of Payment made to email id: firstname.lastname@example.org
Bank details for NEFT:
Beneficiary Name: Institute of Management Technology
Pan No: AAATL1391H
Address : Hapur Road, Raj Nagar, Ghaziabad, UP -201001, INDIA
Beneficiary Bank Name : ORIENTAL BANK OF COMMERCE
Beneficiary Bank Address : Raj Kunj, Raj Nagar, Ghaziabad
Beneficiary Bank A/c No.: 09202010010580
Type of Account.: Saving Account
IFSC Code: ORBC0100920
Beneficiary Email ID: email@example.com firstname.lastname@example.org
Contact No.: 0120-3002278, 0120-3002205
Registration form for participants : Registration is now closed.
Profile of the Programme Directors
Dr. Aritra Pan
Dr. Aritra Pan is faculty at IMT Ghaziabad in the area of Information Technology and Analytics. He is PhD from IIT Kharagpur, M.Tech and B.Tech from IIEST, Shibpur. He was previously associated with global corporate firms like PwC, Visa, and RS Software. He has also served as Lecturer of Computer Engineering in renowned engineering colleges at West Bengal. He has publication in leading finance and analytics journals and case studies. He was also Data Science consultant for some start-ups and firms in India.
Prof. Nikunj K. Jain
Prof. Nikunj Kumar Jain is faculty at IMT Ghaziabad in the area of Operations and Supply Chain Management. He holds a Fellow Program in Management from the Indian Institute of Management Indore, India and a B.Tech from the MANIT, Bhopal. He has previously worked with IMI Delhi and FORE School of Management Delhi. He has cross-functional work experience in a greenfield refinery project at Bharat Oman Refineries Ltd Bina, District Sagar (MP). He has published in leading journals (A and B category as per ABDC journal classification).