Description
CSIR NET – Complete Statistics Course
Instructor: Harsh Jaiswal
Prepare for the CSIR NET Examination with a comprehensive, concept-driven course led by Harsh Jaiswal, a highly experienced educator and accomplished academician. This course is designed to build strong conceptual foundations, advanced problem-solving skills, and exam-oriented confidence required to qualify CSIR NET (JRF & LS).
👨🏫 About the Instructor — Harsh Jaiswal
Learn from Harsh Jaiswal, an expert mentor with 5+ years of teaching experience at Unacademy and a proven record of academic excellence:
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IIT JAM AIR 17 (2021)
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GATE AIR 12
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CSIR NET JRF Rank 42
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M.Sc. from IIT Bombay
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PhD Scholar at IIT Tirupati
🌟 Outstanding Mentorship Record
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Mentored 200+ students into top institutes
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IIT JAM Top Ranks: AIR 5, 6, 7, 8, 9, 11, 12
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GATE Top Ranks: AIR 3, 6, 7, 8, 10
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Guided multiple aspirants for CSIR NET & UPSC ISS
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Helped hundreds secure admissions into IITs and premier research institutions
📚 What This Course Includes
🧠 Complete Syllabus Coverage (As per CSIR NET)
1. Probability Theory
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Sample space and events
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Axioms of probability
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Conditional probability & independence
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Random variables (discrete & continuous)
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Distribution functions
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Mathematical expectation, moments
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Inequalities (Markov, Chebyshev)
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Modes of convergence
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Law of Large Numbers
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Central Limit Theorem
2. Probability Distributions
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Discrete distributions:
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Bernoulli
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Binomial
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Poisson
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Geometric
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Negative Binomial
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Continuous distributions:
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Uniform
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Exponential
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Gamma
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Normal
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Beta
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Chi-square
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t and F distributions
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Joint, marginal & conditional distributions
3. Sampling Distributions
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Sampling theory
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Distribution of sample mean & variance
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Exact sampling distributions
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Order statistics
4. Estimation Theory
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Point estimation
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Methods of estimation:
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Method of Moments
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Maximum Likelihood Estimation (MLE)
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Properties of estimators:
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Unbiasedness
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Consistency
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Efficiency
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Cramér–Rao lower bound
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Interval estimation & confidence intervals
5. Testing of Hypotheses
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Null and alternative hypotheses
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Type I & Type II errors
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Neyman–Pearson lemma
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Likelihood ratio tests
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Tests based on:
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Normal
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t
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Chi-square
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F distributions
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p-values and critical regions
6. Non-parametric Methods
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Sign test
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Wilcoxon signed-rank test
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Mann–Whitney U test
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Kruskal–Wallis test
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Kolmogorov–Smirnov test
7. Stochastic Processes
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Random processes
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Markov chains
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Transition probabilities
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Chapman–Kolmogorov equations
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Classification of states
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Poisson process
8. Descriptive Statistics (Basics)
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Measures of central tendency
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Measures of dispersion
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Skewness and kurtosis
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🎥 Live Classes + Recorded Lectures
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Daily interactive live classes
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Recorded sessions available for revision anytime
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📒 Practice & Assignments
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Topic-wise problem sets
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CSIR NET Previous Year Questions (PYQs)
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Weekly graded assignments
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📝 Tests & Mock Exams
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Regular tests to track performance
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Full-length CSIR NET–pattern mock exams
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💬 Doubt Solving & Mentorship
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Live doubt-solving sessions
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Dedicated discussion groups
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📦 Study Material
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High-quality PDFs & detailed notes
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Formula sheets
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Curated question banks aligned with CSIR NET standards
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🎯 Who Should Join?
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Aspirants targeting CSIR NET (JRF & LS)
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Students preparing for JAM, GATE, UPSC ISS alongside CSIR NET
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Aspirants aiming for research careers, PhD admissions, and top academic institutions
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Personalized academic guidance