About Workshop
Statistical modeling and forecasting plays a crucial role in decision making in agricultural and allied research for analyzing large number of data sets generated through biological eld /lab experiments, surveys and published reports. To understand the increasing complexity among decision variables, many statistical and machine learning techniques have been developed in recent years. With advancement in computational open source tools and techniques, this area has become most important for the current needs. Therefore, this training programme has been designed to address both theory and application parts of the statistical and machine learning techniques. ‘R’ is the most popularly used open source programming language in statistical data analysis. R is freely available and regularly updated by the global R community with advanced computational methods. This training is designed to impart hands-on practical sessions for each of the theory classes, so that participants can analyze their data sets using R anytime.
Objectives of the proposed high end workshop are:
- Educating the participants about various advanced Statistical, Machine Learning, Remote Sensing & GIS tools and techniques for modeling and forecasting agricultural data
- Imparting hands-on experience to the participants on data analysis
- Acquainting the participants about R software package for data analysis
Eligibility
- Students pursuing Master's Degree / Ph.D. in any discipline of Agricultural sciences/Animal sciences/Fishery sciences/ Statistics/ Computer Application or other P.G/Ph.D. students with research specialization in agriculture and allied sciences.
- Working knowledge of Statistics and R / other software packages
Nominations
Interested candidates fulfilling the eligibility conditions may apply through proper channel with the approval of competent authority 25 students will be selected based on the merits/ suitability of the candidates
Important Dates
Last Date for Receipt of Applications: 8 July, 2022
Information to Selected Candidate: 10 July, 2022
Workshop Dates: 18-30 July, 2022
Registration
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Interested eligible candidates can register through Google form link : https://forms.gle/CTG6JvGAnYQwQRCX6 by uploading application form duly signed by the Recommending Authority / Head of the Department/ Institute |
