JRF in Statistics

1. About the ISI JRF in Statistics

The Indian Statistical Institute (ISI) offers Junior Research Fellowships (JRF) in Statistics, ideal for candidates aiming to conduct high-level research in statistical theory, data science, and applied probability.Applicants typically:

• Hold a Master’s degree in Statistics, Mathematics, or allied quantitative fields.

• Must qualify through a rigorous written test followed by a research proposal presentation and interview.

• Face very limited fellowship openings, making deep conceptual understanding and application skills essential.

The selection process evaluates:

• Core Probability and Statistical Theory.

• Applied Statistical Techniques and Data Modeling.

• Research aptitude and ability to present proposals effectively.

2. What Our Course Includes

Interactive Live Classes

• Conducted online (Zoom/Skype) and offline (Kolkata & New Delhi centres).

• Extensive coverage of:

  • Probability Theory & Stochastic Processes (Markov Chains, Poisson Processes)

  • Statistical Inference (Estimation, Hypothesis Testing, Bayesian Methods)

  • Regression, Time Series, and Multivariate Analysis

  • Non-Parametric and Robust Methods

  • Sampling Theory and Design of Experiments

  • Research Methodology and Proposal Writing

• All sessions are recorded, so students can revise anytime.

Research-Oriented Training

• Advanced lectures with ISI-level problem solving and research-style exercises.

• Weekly assignments and assessments to monitor readiness.

• Dedicated sessions for proposal preparation and mock interviews.

Mock Test Series

• Full-length ISI-style mock exams covering both theoretical and applied statistics.

• Detailed solutions and one-to-one feedback for improvement.

• Mock interviews replicating ISI’s panel evaluation process.

Past-Year Papers & Practice

• Step-by-step solved answers to previous ISI JRF Statistics papers.

• Extended practice banks on data modeling, stochastic processes, and inference problems.

Free Study Materials

• Expert-curated notes from ISI sources, global statistics texts, and top research references.

• Includes theory notes, solved examples, and practice exercises.

• All materials are provided free to enrolled students.

24×7 Doubt Support

• Direct assistance via WhatsApp, email, or phone.

• One-to-one mentorship sessions for challenging research and theoretical questions.

3. What We Cover (Syllabus Highlights)

• Probability Theory & Stochastic Processes – Convergence, Markov Processes, Renewal Theory.

• Statistical Inference – Estimation, Hypothesis Testing, Likelihood Methods, Bayesian Approaches.

• Regression & Time Series Analysis – Linear Models, ARIMA, Forecasting.

• Multivariate & Non-Parametric Methods – PCA, MANOVA, Kernel Estimation.

• Sampling Theory & Experimental Design – Stratified, Cluster, Randomized Block Designs.

• Research Skills – Proposal writing, literature reviews, and presentation training.

4. Mode of Classes

• Online – Live interactive teaching with video backups.

• Offline – Classroom-based programs at Kolkata & New Delhi centres.

• Both modes include identical syllabus, materials, and test structures.

5. Why Choose Dr. Sourav Sir’s Classes?

• Faculty with ISI-level research expertise and extensive teaching experience in Statistics.

• Structured mock tests and continuous assessments for exam readiness.

• Personalized research proposal and interview guidance.

• Free, premium-quality notes and past-paper solutions.

• Proven track record of students securing ISI JRF fellowships every year.