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Workshop on Predictive Analytics with R

Workshop on Predictive Analytics with R
September 2nd & 3rd, 2017 (Saturday & Sunday)

Centre for Research Studies


A Report on Predictive Analysis with R Workshop


Centre for Research Studies (CRS), Birla Institute of Management Technology (BIMTECH) organised a workshop on “Predictive analytics with R” during 2nd and 3rd September, 2017 at the Greater Noida campus. The workshop was an attempt to empower the budding researchers, academicians and faculty the “R programming language”. R is a user friendly and open source language, which has become a vehicle of choice for researchers to conduct data analysis. It is widely used among researchers for statistical analysis (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical presentation. It is also utilized for data mining and text mining applications. The strengths of “R” are its well-designed publishing quality with mathematical symbols, formulae, organized documentation, high quality plots, designs and graphics. The workshop was an initiative by the CRS to facilitate the dissemination of knowledge of R for faculty and research scholars in their journey to conduct high quality research.

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The workshop was conducted by two facilitators, Prof. Amarnath Bose and Prof. Amrendra Pandey both being faculty members of the Institute. The introduction of “R” and Structure Equation Modelling was moderated by Prof. Amarnath Bose, who is an alumnus of ISI Kolkata and a faculty in Decision Sciences at BIMTECH. His research interests lie in the areas of statistical modelling, operations research and artificial intelligence (AI) techniques including genetic algorithms and neural network. The text mining session was moderated by Prof. Amrendra Pandey, Fellow of BIMTECH and faculty in the area of Economics. His research interests lie in macroeconomics, financial risk, retail economics and text mining techniques.

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The workshop attracted a mixture of participants from academia and industry. There were 18 participants in total, out of which four were from industry, and the rest from academics including four research scholars.  The proceedings on day one, started with a welcome address from Dr. A Sahay, Dean Research, BIMTECH whose support was instrumental in making this workshop possible. In his address he extended a hearty welcome to all and delivered an insightful speech highlighting the importance of “R”, its functionality, and relevance in the research ecosystem. Thereafter, the first two sessions covered the background of “R”, a quick brief on the importance of “R” and factors that distinguish it from other software such as Python. Post lunch sessions covered Text Mining, extraction of data from Facebook and cleaning of data.

On day 2, morning sessions continued with Text mining using Twitter as a data source and the approach for topic modelling . The second half of the day sessions covered Structure Equation Modelling. The valedictory session commenced with participants expressing overwhelming praise for the experience during the workshop. This was followed by presentation of certificates and concluded with a vote of thanks from Dr. A.V Shukla, Chairperson, Centre for Research Studies. The chairperson also expressed his interest in organizing workshops for facilitating researchers with necessary knowledge to conduct their research. And extended his helping hand for conducting many such fruitful workshops in the future as a part of the CRS workshop series,
It was a completely hands-on workshop, which facilitated better understanding of “R”. This workshop facilitated performing data analysis and ignited participants interest in using “R” in their research. It helped the participants to gain confidence and overcome the fear of programming from their minds. The unique features of this workshop were the ease and warm openness of  facilitators with each participant, which made learning fun and fruitful.

On day two, morning sessions continued with Text mining using Twitter as a data source and approach to modelling . In the second half of the day the sessions covered Structured Equation Modelling. The valedictory session commenced with participants expressing overwhelming praise for the experience during the workshop. This was followed by presentation of certificates and concluded with a vote of thanks from Dr. A.V Shukla, Chairperson, Center for Research Studies. The chairperson also expressed the Center’s desire to organize more workshops for facilitating researchers with the necessary knowledge to conduct their research. He invited suggestions on probable topics/themes for future workshops

The workshop received very positive feedback from participants. Some of the views expressed were as follows_

“It was a completely hands-on workshop, which facilitated better understanding of R”.

“This workshop facilitated performing data analysis and ignited participant’s interest in using “R” in their research”.

“It helped the participants to gain confidence and overcome the fear of programming from their minds.”

“The unique features of this workshop were the ease and warm openness of facilitators with each participant, which made learning fun and fruitful.”

92 percent of the participants were extremely happy to be a part of the workshop and 33 percent of them have requested the center to conduct these kinds of workshops in future frequently. 60 percent of the participants felt that the duration of the workshop should be extended, as it has a lot of practical application in research for analysis purposes.

 

 

About the Workshop

The increase in application and importance to the Big Data Analytics has given rise to demand for a  new set of skills, which use computational techniques and analytic framework in tandem. Decision making is critically dependent on proper use of tools and techniques. Modelling of the problem framework is a crucial initial step in the process. In its bid to empower researchers, academicians and practitioners to effectively leverage this, Centre for Research Studies, BIMTECH is launching a two day workshop on Predictive Analytics using R.

R is a flexible, statistical programming language and environment that is Open Source and freely available for all mainstream operating systems. R has experienced an “explosive growth in use” and in user-contributed software.

This programme is based on the popular and increasingly in-demand R statistical software.  The first half-day will accordingly introduce participants to the R programming eco-system – just enough so that the participants can follow, and use the Predictive Analytic tools covered in this workshop. This will be followed by  two powerful, very contemporary analytic modules that find wide usage among researchers and academicians. The tools that will be covered are “Text mining and Social Media Analytics”, followed by  Factor Analysis and Structural Equation Modelling.

The workshop will be fully hands-on and will be delivered using a mix of lecture, demonstrations and exercises for participants.

About R:

R is a programming language and software used for statistical and graphical representation. This is mostly used by researchers, data miners and statisticians for data analysis. It was created by Ross Ihaka and Robert Gentleman and the software is supported by R foundation. It is freely available on all major operating systems.


Workshop Facilitators

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CONTENT ANALYSIS WORKSHOP

The workshop has culminated successfully and detailed report will be uploaded soon.


About the Workshop

This two days’ workshop on content analysis will be spread across 8 sessions. Recent developments in content analysis techniques will be discussed in the context of other qualitative data analysis techniques.

 

Workshop Facilitator Profile
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Srinath Jagannathan completed his Fellow Program in Management from Indian Institute of Management Ahmedabad in 2011. He worked on workers’ experiences of insecurity for his doctoral dissertation. His doctoral work spanned qualitative inquiries from a post structural frame with informal economy workers, refugees, temporary workers and workers with formal employment contracts. He worked in the Centre for Labour Studies in Tata Institute of Social Sciences, Mumbai for more than three years before joining IIM Indore. He also holds a Bachelor’s degree in Electronics and Telecommunication Engineering and a Master’s Degree in History from the University of Mumbai. Currently working as Professor of Organizational Behavior & HRM department in IIM Indore.

 

 

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