Faculty Development Programme


31st May to 1st June, 2019

Data analysis using R

(Organised by Dept. of IT)

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About JIMS

In the last 25 years JIMS has created a niche for itself in the fields of Information technology and Management. The Post graduate programs namely PGDM, PGDM(International Business), PGDM(Retail management) are approved by the All India council for Technical Education and are accredited by National Board of Accreditation (NBA) . All the post graduate programs have been granted equivalence to MBA degree by Association of Indian Universities (AIU). The National Assessment and accreditation council (NAAC) has accredited JIMS as an ‘A ‘grade institution. The Guru Gobind Singh Indraprastha University (GGSIPU) affiliate courses include MCA, BCA and BBA. MCA programme is AICTE approved and NBA accredited. The institution has recently became the first college in Delhi to get an Autonomous status from UGC for its university affiliated courses.

JIMS Rohini is among very few institutions to receive SAQS accreditation for excellence in imparting quality education. This gives JIMS an edge to attain greater international visibility specifically among South Asian Countries.

About CSI

Computer society of India is the first and largest body of computer professionals in India. It was started in 1965 by a few computer professionals and has now grown to be the National body representing computer professionals. It has 72 chapters across India, 511 student branches and 100000 members. The society is non-profit professional meet to exchange views and information learn and share ideas. The wide spectrum of members is committed to the advancement of theory and practice of Computer Engineering and Technology Systems, science and Engineering, Information Processing and related Arts and sciences. The Society also Encourages and assists professionals to maintain integrity and competence of the profession and fosters a sense of partnership amongst members.


About FDP

Due to the advancements in science and technology, data and information is being generated at a rate unlike ever before. Data science in simple terms can be regarded as data driven science which one can extract the insights and knowledge from the large sets of data either structured or unstructured. It involves interdisciplinary fields of Mathematics, Statistics and Computer Science. The application of data analytics is wide and is required across all the disciplines. One of the most common tool used for data analytics is ‘R’ programming language.

‘R’ programming language is an open-source software and has become very powerful over time with the contribution of packages by several experts in the field of data science. So, term data science and ‘R’ as a tool has become almost synonymous.


The objective of the Faculty Development Program is to provide knowledge and skills about data and text analysis. As per the industry, decision making and predictions has become extremely important in this highly volatile global era of cut throat competition. Over the years, there is an exponential growth in the demand for professionals who are well versed with the new techniques and concepts to turn the vast amount of data into useful insights and knowledge to better equip the industry standards in decision making. Data Analytics is a set of qualitative and quantitative techniques to extract and categorize data to identify and analyse behaviour and patterns. The ‘R’ language is widely used among statisticians and data scientists for developing for data analysis.

In this Faculty Development Program, the participants would get an overview, of the techniques and principles of Data analysis and methodologies. Participants would also gain hands on experience on ‘R’ Studio interface and usage of ‘R’ programming for data and text analysis. The FDP is aimed at enhancing the skill set of Faculty, Researchers, IT professionals and Scientists of R & D labs. It would enable them to use data and text analysis effectively and also enhance their ability to analyse large data sets and to develop modelling solutions to support decision making.


This FDP would be useful for IT professionals, Researchers and faculties working in universities, colleges, training centres etc.


2 days (31st May and 1st June). The timings would be same for both the days i.e. from 10:00 am to 4:00 pm .

Program Coverage

  1. 1. Introduction to Data Analysis (Introductory Theoretical Session)
  2. 2. Getting started with R - Installation of R and R Studio (Practical)
  3. 3. Data Pre-processing using R (Practical)
  4. 4. Regression Analysis and its Application (Practical)
  5. 5. Data Clustering and Classification (Practical)
  6. 6. Textual Data Analysis (Practical)

Resource Person

A corporate trainer who has an experience as a researcher with a demonstrated history of working in the higher education industry. She has an experience of solving business problems using Artificial Intelligence, Social Media Analytics and Intelligent Systems with Implications in E-Governance, Digital Marketing and Other Related Web 2.0 applications.

She has done M.tech, B.tech and PhD from renowned college. She is currently working as research lead in reputed organisation. She is specialised in leveraging the appropriate digital tools specific to research requirements for deriving insights.

She had an experience of research associate, in Department of Management studies in Indian Institute of Technology, Delhi where she has worked on research problems surrounding data analytics with a special focus on social media analytics and advanced machine learning algorithms.

Organising Committee

Patron : Dr. Praveen Arora Dean(IT), JIMS

Convener : Dr. Manjot Kaur Bhatia Professor(IT), JIMS 9810555592

Co-Convener : Ms. Bhawna Galhotra Assistant Professor(IT), JIMS 9811673090

Mr Sunny Seth Assistant Professor (Mathematics), JIMS

Registration Details

To register and make payment of registration fees for FDP, click the following link,


Last date of registration is on or before 9th Dec, 2018.

Registration Fee

Category Fees(Rs.)
Postgraduate students/Research scholars 500
University College Teachers 1000
Professional 1500
Registration before May 28, 2019
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