Faculty Development Programme


1st July to 5th July, 2019

Data Science

(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 using 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 required across almost all the disciplines. One of the most common tool used for data analytics is ‘R’ programming language.


The objective of the Faculty Development Program is to provide knowledge and skills about data and text analysis. As per the industry standards 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 of 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.

In this Faculty Development Program, the participants would get an overview, research orientation of the techniques and principles of Data Science and its methodologies. Participants would also gain hands on experience on ‘R’ Studio interface and usage of ‘R’ programming for Image and Text Analysis. Also the topics like Descriptive Statistics, Inferential Statistics, Regression (Lasso, Ridge, and Elastic Net), and Regression Analysis will be covered. The supervised learning techniques through logistic regression and Discriminant Analysis will also be discussed in the session. 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 to develop modelling solutions to support decision making.


This FDP would be useful for Information technology Professionals, Researchers and Faculties working in Universities, Colleges, training centres etc.


5 days (1st July to 5th July 2019). The timings would be same for all the days i.e. from 10:00 am to 4:00 pm

Program Coverage

Topics to be covered from 1st July to 3rd July 2019

  • Descriptive Statistics
  • Inferential Statistics
  • Regression (Lasso, Ridge, Elastic Net)
  • Supervised Learning through Logistic Regression, Discriminant Analysis
  • Regression Analysis,
  • Classification Trees, Support Vector Machines, Random Forest, Deep Learning, Naive Bayes, CN2 Rule
  • Unsupervised Learning through Clustering, Associative Rule Mining, Distance Matrix, K Means, Multi-Dimensional Scaling
  • Image Analytics and Text Analytics

Topics to be covered on 4th July and 5th July 2019

  • Introduction to Machine Learning & Data Mining.
  • Basics of R.
  • R and Rattle Installation.
  • Working with Rattle.
  • Research topics in Machine Learning & Data Mining.
  • Useful resources for R and Machine Learning.
  • Working with Classification Problem.
  • Working with Regression Problem.
  • Working with Clustering Problem.
  • Multi-Decision Criteria using TOPSIS
  • Association Mining

Resource Persons

Dr. Dhaval Maheta

Assistant Professor
Department of Business and Industrial Management

B.E.(PRODUCTION),M.B.A.(FINANCE),N.E.T. (Management), PH.D. (Management), Post Graduate Diploma in Research Methodology

Dr. Dhaval Maheta is currently working as an Assistant Professor, Department of Business and Industrial Management, Veer Narmad South Gujarat University, Surat.

He has presented and published 25 research papers in National and International Conferences. He has authored and co authored multiple books on Research Methodologies,Machine Learning and Statistical analysis using R software.

  1. 1) He has also published book on “Minitab” software.
  2. 2) He has also published a book titled “Statistical Analysis using R Software”
  3. 3) Co-authored a book titled “Business Statistics”, Himalaya Publishing House.
  4. 4) Co-authored a book titled “Research Methodology”, Himalaya Publishing House.
  5. 5) Co-authored a book titled “Production and Operation Management”, Himalaya Publishing House.
  6. 6) He has also published a book “Machine Learning Using R-Rattle” with Lambert International Publication.

Dr. Prashant S Rana

Assistant Professor
Thapar University

Machine Learning and Data Mining, Modelling and Simulation, Parallel Algorithms, Machine Learning, Optimization, Computational Biology

He is currently working as Assistant Professor in Department of Computer Science and Engineering, Thapar University, Patiala, Punjab, India. He has multiple research papers in the domain of neural networks, Machine Learning and Deep Learning. Also, he is associated with DST-SERB (Science and Engineering Research Board, Government of India) for research Projects.

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

Registration Details

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


Last date of registration is on or before 29th June, 2019.

Registration Fee

Category Fees(Rs.)
Postgraduate students/Research scholars ₹ 2500
Academicians ₹ 3000
Professional ₹ 3500
Registration before June 29, 2019
Register Now