<h2>🎯 GATE Statistics 2027 &ndash; Ranker&rsquo;s Batch</h2>
<h3>Long-Term Complete Course</h3>
Batch Starts: 5 January 2026 
Duration: 12&ndash;14 Months 
Mode: Live Online Classes 
Instructor: Harsh Jaiswal 
(IIT Bombay Alumnus | PhD Scholar &ndash; IIT Tirupati) 
Powered by: Infrencia
<hr />
<h2>📘 Course Description</h2>
The GATE Statistics 2027 Ranker&rsquo;s Batch by Infrencia is a long-term, concept-driven, and result-oriented program designed for aspirants targeting top ranks in GATE Statistics &amp; Data Science.
Starting early from January 2026, this course provides a structured, step-by-step preparation plan that takes students from core fundamentals to advanced problem-solving, ensuring complete mastery of the GATE syllabus.
Led by Harsh Jaiswal (IIT Bombay Alumnus), the course emphasizes conceptual clarity, mathematical rigor, and exam-oriented strategies, which are crucial for cracking GATE and securing admission into IITs, IISc, and PSUs.
<hr />
<h2>👨&zwj;🏫 About the Instructor &mdash; Harsh Jaiswal</h2>
Harsh Jaiswal is a highly accomplished educator in Statistics with 5+ years of teaching experience and a proven track record of mentoring top rankers across national examinations.
<h3>Academic Excellence</h3>
<ul>
	<li>
	GATE AIR 12
	</li>
	<li>
	IIT JAM AIR 17 (2021)
	</li>
	<li>
	CSIR NET JRF Rank 42
	</li>
	<li>
	Master&rsquo;s from IIT Bombay
	</li>
	<li>
	Currently pursuing PhD at IIT Tirupati
	</li>
</ul>
<h3>Student Achievements</h3>
<ul>
	<li>
	Mentored 200+ students to top institutions
	</li>
	<li>
	GATE AIR: 3, 6, 7, 8, 10
	</li>
	<li>
	IIT JAM AIR: 5, 6, 7, 8, 9, 11, 12
	</li>
	<li>
	Guided multiple aspirants for UPSC ISS
	</li>
	<li>
	Helped hundreds secure admissions in IITs and IISc
	</li>
</ul>
<hr />
<h2>📚 What This Course Includes</h2>
<h3>🧠 Complete GATE Statistics Syllabus Coverage</h3>
<ul>
	<li>
	Linear Algebra (Matrices, Determinants)
	</li>
	<li>
	Calculus (Single &amp; Multivariable)
	</li>
	<li>
	Probability Theory
	</li>
	<li>
	Random Variables (Univariate &amp; Multivariate)
	</li>
	<li>
	Statistical Inference
	</li>
	<li>
	Sampling Distributions &amp; Limit Theorems
	</li>
	<li>
	Estimation &amp; Hypothesis Testing
	</li>
	<li>
	Nonparametric Methods
	</li>
	<li>
	Stochastic Processes
	</li>
	<li>
	Numerical Methods &amp; Optimization
	</li>
</ul>
<hr />
<h3>🎥 Live Classes + Recordings</h3>
<ul>
	<li>
	Daily interactive live sessions
	</li>
	<li>
	Recorded lectures available for revision
	</li>
</ul>
<h3>📒 Practice &amp; Assignments</h3>
<ul>
	<li>
	Topic-wise problem sets
	</li>
	<li>
	Previous Years&rsquo; GATE Questions (PYQs)
	</li>
	<li>
	Weekly assignments for reinforcement
	</li>
</ul>
<h3>📝 Tests &amp; Mock Exams</h3>
<ul>
	<li>
	Regular topic and sectional tests
	</li>
	<li>
	Full-length GATE-level mock exams
	</li>
</ul>
<h3>💬 Doubt Solving &amp; Mentorship</h3>
<ul>
	<li>
	Live doubt-solving sessions
	</li>
	<li>
	Discussion groups
	</li>
	<li>
	Personalized academic guidance
	</li>
</ul>
<h3>📦 Study Material</h3>
<ul>
	<li>
	Detailed class notes &amp; PDFs
	</li>
	<li>
	Formula sheets
	</li>
	<li>
	Curated question banks
	</li>
</ul>
<h3>🎯 Rank-Oriented Strategy</h3>
<ul>
	<li>
	Deep conceptual focus
	</li>
	<li>
	Smart problem-solving techniques
	</li>
	<li>
	Structured revision and exam strategy
	</li>
</ul>
<hr />
<h2>📅 Batch Snapshot</h2>
<ul>
	<li>
	Start Date: 5 January 2026
	</li>
	<li>
	Target Exam: GATE Statistics 2027
	</li>
	<li>
	Duration: 12&ndash;14 Months
	</li>
	<li>
	Mode: Live Online
	</li>
</ul>

Ranker's Batch for Gate 2027

Infrencia

<h2>CSIR NET &ndash; Complete&nbsp;Statistics Course</h2>
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 &amp; LS).
<hr />
<h2>👨&zwj;🏫 About the Instructor &mdash; Harsh Jaiswal</h2>
Learn from Harsh Jaiswal, an expert mentor with 5+ years of teaching experience at Unacademy and a proven record of academic excellence:
<ul>
	<li>
	IIT JAM AIR 17 (2021)
	</li>
	<li>
	GATE AIR 12
	</li>
	<li>
	CSIR NET JRF Rank 42
	</li>
	<li>
	M.Sc. from IIT Bombay
	</li>
	<li>
	PhD Scholar at IIT Tirupati
	</li>
</ul>
<hr />
<h2>🌟 Outstanding Mentorship Record</h2>
<ul>
	<li>
	Mentored 200+ students into top institutes
	</li>
	<li>
	IIT JAM Top Ranks: AIR 5, 6, 7, 8, 9, 11, 12
	</li>
	<li>
	GATE Top Ranks: AIR 3, 6, 7, 8, 10
	</li>
	<li>
	Guided multiple aspirants for CSIR NET &amp; UPSC ISS
	</li>
	<li>
	Helped hundreds secure admissions into IITs and premier research institutions
	</li>
</ul>
<hr />
<h2>📚 What This Course Includes</h2>
<h3>🧠 Complete Syllabus Coverage (As per CSIR NET)</h3>
<h3>1. Probability Theory</h3>
<ul>
	<li>
	Sample space and events
	</li>
	<li>
	Axioms of probability
	</li>
	<li>
	Conditional probability &amp; independence
	</li>
	<li>
	Random variables (discrete &amp; continuous)
	</li>
	<li>
	Distribution functions
	</li>
	<li>
	Mathematical expectation, moments
	</li>
	<li>
	Inequalities (Markov, Chebyshev)
	</li>
	<li>
	Modes of convergence
	</li>
	<li>
	Law of Large Numbers
	</li>
	<li>
	Central Limit Theorem
	</li>
</ul>
<hr />
<h3>2. Probability Distributions</h3>
<ul>
	<li>
	Discrete distributions:
	<ul>
		<li>
		Bernoulli
		</li>
		<li>
		Binomial
		</li>
		<li>
		Poisson
		</li>
		<li>
		Geometric
		</li>
		<li>
		Negative Binomial
		</li>
	</ul>
	</li>
	<li>
	Continuous distributions:
	<ul>
		<li>
		Uniform
		</li>
		<li>
		Exponential
		</li>
		<li>
		Gamma
		</li>
		<li>
		Normal
		</li>
		<li>
		Beta
		</li>
		<li>
		Chi-square
		</li>
		<li>
		t and F distributions
		</li>
	</ul>
	</li>
	<li>
	Joint, marginal &amp; conditional distributions
	</li>
</ul>
<hr />
<h3>3. Sampling Distributions</h3>
<ul>
	<li>
	Sampling theory
	</li>
	<li>
	Distribution of sample mean &amp; variance
	</li>
	<li>
	Exact sampling distributions
	</li>
	<li>
	Order statistics
	</li>
</ul>
<hr />
<h3>4. Estimation Theory</h3>
<ul>
	<li>
	Point estimation
	</li>
	<li>
	Methods of estimation:
	<ul>
		<li>
		Method of Moments
		</li>
		<li>
		Maximum Likelihood Estimation (MLE)
		</li>
	</ul>
	</li>
	<li>
	Properties of estimators:
	<ul>
		<li>
		Unbiasedness
		</li>
		<li>
		Consistency
		</li>
		<li>
		Efficiency
		</li>
	</ul>
	</li>
	<li>
	Cram&eacute;r&ndash;Rao lower bound
	</li>
	<li>
	Interval estimation &amp; confidence intervals
	</li>
</ul>
<hr />
<h3>5. Testing of Hypotheses</h3>
<ul>
	<li>
	Null and alternative hypotheses
	</li>
	<li>
	Type I &amp; Type II errors
	</li>
	<li>
	Neyman&ndash;Pearson lemma
	</li>
	<li>
	Likelihood ratio tests
	</li>
	<li>
	Tests based on:
	<ul>
		<li>
		Normal
		</li>
		<li>
		t
		</li>
		<li>
		Chi-square
		</li>
		<li>
		F distributions
		</li>
	</ul>
	</li>
	<li>
	p-values and critical regions
	</li>
</ul>
<hr />
<h3>6. Non-parametric Methods</h3>
<ul>
	<li>
	Sign test
	</li>
	<li>
	Wilcoxon signed-rank test
	</li>
	<li>
	Mann&ndash;Whitney U test
	</li>
	<li>
	Kruskal&ndash;Wallis test
	</li>
	<li>
	Kolmogorov&ndash;Smirnov test
	</li>
</ul>
<hr />
<h3>7. Stochastic Processes</h3>
<ul>
	<li>
	Random processes
	</li>
	<li>
	Markov chains
	</li>
	<li>
	Transition probabilities
	</li>
	<li>
	Chapman&ndash;Kolmogorov equations
	</li>
	<li>
	Classification of states
	</li>
	<li>
	Poisson process
	</li>
</ul>
<hr />
<h3>8. Descriptive Statistics (Basics)</h3>
<ul>
	<li>
	Measures of central tendency
	</li>
	<li>
	Measures of dispersion
	</li>
	<li>
	Skewness and kurtosis
	</li>
	<li>
	🎥 Live Classes + Recorded Lectures
	</li>
	<li>
	Daily interactive live classes
	</li>
	<li>
	Recorded sessions available for revision anytime
	</li>
	<li>
	<hr />
	<h2>📒 Practice &amp; Assignments</h2>
	</li>
	<li>
	Topic-wise problem sets
	</li>
	<li>
	CSIR NET Previous Year Questions (PYQs)
	</li>
	<li>
	Weekly graded assignments
	</li>
	<li>
	<hr />
	<h2>📝 Tests &amp; Mock Exams</h2>
	</li>
	<li>
	Regular tests to track performance
	</li>
	<li>
	Full-length CSIR NET&ndash;pattern mock exams
	</li>
	<li>
	<hr />
	<h2>💬 Doubt Solving &amp; Mentorship</h2>
	</li>
	<li>
	Live doubt-solving sessions
	</li>
	<li>
	Dedicated discussion groups
	</li>
	<li>
	<hr />
	<h2>📦 Study Material</h2>
	</li>
	<li>
	High-quality PDFs &amp; detailed notes
	</li>
	<li>
	Formula sheets
	</li>
	<li>
	Curated question banks aligned with CSIR NET standards
	</li>
	<li>
	<hr />
	<h2>🎯 Who Should Join?</h2>
	</li>
	<li>
	Aspirants targeting CSIR NET (JRF &amp; LS)
	</li>
	<li>
	Students preparing for JAM, GATE, UPSC ISS alongside CSIR NET
	</li>
	<li>
	Aspirants aiming for research careers, PhD admissions, and top academic institutions
	</li>
	<li>&nbsp;</li>
	<li>
	Personalized academic guidance
	</li>
</ul>

Ranker's Batch - CSIR NET

<h2>🎯 IIT JAM Statistics 2027 &ndash; Regression Batch (Long-Term Complete Course)</h2>
Batch Starts: 1 April 2026 
Instructor: Harsh Jaiswal (IIT Bombay Alumnus, PhD Scholar &ndash; IIT Tirupati) 
Powered by: Infrencia
<hr />
<h2>📘 Course Description</h2>
The Regression Batch for IIT JAM Statistics 2027 by Infrencia is a one-stop, fully structured program designed to build strong fundamentals, deep conceptual clarity, and rank-oriented preparation.
Led by Harsh Jaiswal, this course follows a step-by-step approach from basic to advanced level, ensuring that every student is fully prepared to tackle IIT JAM with confidence.
<blockquote>
Learn Deep. Practice Smart. Achieve Rank.
</blockquote>
<hr />
<h2>👨&zwj;🏫 About the Instructor &mdash; Harsh Jaiswal</h2>
An expert educator with 5+ years of teaching experience and a strong academic background:
<ul>
	<li>
	IIT JAM AIR 17 (2021)
	</li>
	<li>
	GATE AIR 12
	</li>
	<li>
	CSIR NET JRF Rank 42
	</li>
	<li>
	Masters from IIT Bombay
	</li>
	<li>
	PhD Scholar at IIT Tirupati
	</li>
</ul>
<h3>🏆 Results &amp; Mentorship</h3>
<ul>
	<li>
	Mentored 200+ students to top institutions
	</li>
	<li>
	IIT JAM AIR 5, 6, 7, 8, 9, 11, 12&hellip;
	</li>
	<li>
	GATE AIR 3, 6, 7, 8, 10
	</li>
	<li>
	Guided aspirants for UPSC ISS
	</li>
	<li>
	Helped hundreds secure admissions in IITs
	</li>
</ul>
<hr />
<h2>📚 What This Course Includes</h2>
<h3>🧠 Full Syllabus Coverage</h3>
Complete coverage of IIT JAM Statistics syllabus:
<ul>
	<li>
	Sequences and Series
	</li>
	<li>
	Differential Calculus (1D &amp; 2D)
	</li>
	<li>
	Integral Calculus
	</li>
	<li>
	Matrices &amp; Determinants
	</li>
	<li>
	Descriptive Statistics
	</li>
	<li>
	Probability
	</li>
	<li>
	Univariate &amp; Multivariate Distributions
	</li>
	<li>
	Limit Theorems
	</li>
	<li>
	Sampling Distributions
	</li>
	<li>
	Estimation
	</li>
	<li>
	Testing of Hypotheses
	</li>
	<li>
	Nonparametric Methods
	</li>
	<li>
	Stochastic Processes
	</li>
</ul>
<hr />
<h3>🎥 Live Classes + Recordings</h3>
<ul>
	<li>
	Daily interactive live sessions
	</li>
	<li>
	Recorded lectures for revision
	</li>
	<li>
	Concept-focused teaching
	</li>
</ul>
<hr />
<h3>📒 Daily Practice &amp; Assignments</h3>
<ul>
	<li>
	Topic-wise problem sheets
	</li>
	<li>
	PYQs (Previous Year Questions)
	</li>
	<li>
	Weekly assignments
	</li>
</ul>
<hr />
<h3>📝 Tests &amp; Evaluation</h3>
<ul>
	<li>
	Weekly tests
	</li>
	<li>
	Full-length mock exams
	</li>
	<li>
	Performance tracking
	</li>
</ul>
<hr />
<h3>💬 Doubt Solving Support</h3>
<ul>
	<li>
	Live doubt solving
	</li>
	<li>
	Dedicated discussion groups
	</li>
	<li>
	Personalized guidance
	</li>
</ul>
<hr />
<h3>📦 Study Material</h3>
<ul>
	<li>
	High-quality notes &amp; PDFs
	</li>
	<li>
	Formula sheets
	</li>
	<li>
	Curated question banks
	</li>
</ul>
<hr />
<h3>🎯 Rank-Oriented Preparation</h3>
<ul>
	<li>
	Concept clarity + application
	</li>
	<li>
	Exam strategy &amp; time management
	</li>
	<li>
	Focus on accuracy + speed + rank improvement
	</li>
</ul>
<hr />
<h2>📅 Course Details</h2>
<ul>
	<li>
	Batch: 2026&ndash;2027
	</li>
	<li>
	Start Date: 1 April 2026
	</li>
	<li>
	Duration:&nbsp;10-12&nbsp;Months
	</li>
	<li>
	Mode: Live Online + Recorded Access
	</li>
	<li>
	Language: Hinglish
	</li>
</ul>
<hr />
<h2>&nbsp;</h2>

Regression Batch - IIT JAM 2027

<h2>🎯 IIT JAM Statistics 2027 &ndash; Regression Pro Batch (with Evaluate Test Series)</h2>
Batch Starts: 1 April 2026 
Instructor: Harsh Jaiswal (IIT Bombay Alumnus, PhD Scholar &ndash; IIT Tirupati) 
Powered by: Infrencia
<hr />
<h2>📘 Course Description</h2>
The Regression Pro Batch is a complete, structured program designed for IIT JAM Statistics aspirants who want to build strong concepts, practice at exam level, and achieve top ranks.
What makes this batch powerful is its integration with the Evaluate Test Series, giving you a real exam simulation + performance analysis system along with complete syllabus coverage.
<blockquote>
Learn Concepts. Test Yourself. Improve Continuously. Achieve Rank.
</blockquote>
<hr />
About the Evaluate Test series:
The Evaluate Test Series is a complete exam-simulation program designed for IIT JAM Statistics aspirants who want to test their preparation, analyze performance, and achieve top ranks.
This test series replicates the actual IIT JAM exam environment, helping students build accuracy, speed, and confidence. With detailed solutions, performance analytics, and expert mentorship, students can identify weak areas and systematically improve their scores.
<h3>📊 Mock Tests</h3>
<ul>
	<li>
	40+ Full-Length IIT JAM Mock Tests
	</li>
	<li>
	Based on latest exam pattern
	</li>
	<li>
	Designed at actual IIT JAM difficulty level
	</li>
</ul>
<h3>🧠 Topic-wise Tests</h3>
<ul>
	<li>
	Chapter-wise practice tests for strong foundation
	</li>
	<li>
	Covers complete syllabus in structured manner
	</li>
</ul>
<h3>🎥 Detailed Solutions</h3>
<ul>
	<li>
	Step-by-step written + video solutions
	</li>
	<li>
	Concept clarity + shortcut techniques
	</li>
	<li>
	PYQ-based explanation approach
	</li>
</ul>
<h3>📈 Performance Analysis</h3>
<ul>
	<li>
	All India Rank (AIR)
	</li>
	<li>
	Score vs topper comparison
	</li>
	<li>
	Accuracy &amp; time analysis
	</li>
	<li>
	Section-wise breakdown
	</li>
</ul>
<h3>🎯 Smart Insights</h3>
<ul>
	<li>
	Weak area identification
	</li>
	<li>
	Personalized improvement suggestions
	</li>
	<li>
	Rank prediction based on performance
	</li>
</ul>
<h3>👨&zwj;🏫 Mentorship Support</h3>
<ul>
	<li>
	1-1 mentorship guidance by IITian
	</li>
	<li>
	Doubt support system
	</li>
	<li>
	Strategy sessions for rank improvement
	</li>
</ul>
<h2>👨&zwj;🏫 About the Instructor &mdash; Harsh Jaiswal</h2>
<ul>
	<li>
	IIT JAM AIR 17 (2021)
	</li>
	<li>
	GATE AIR 12
	</li>
	<li>
	CSIR NET JRF Rank 42
	</li>
	<li>
	Masters from IIT Bombay
	</li>
	<li>
	PhD Scholar at IIT Tirupati
	</li>
</ul>
<h3>🏆 Results</h3>
<ul>
	<li>
	IIT JAM AIR 5, 6, 7, 8, 9, 11, 12&hellip;
	</li>
	<li>
	GATE AIR 3, 6, 7, 8, 10
	</li>
	<li>
	Mentored 200+ students to top institutes
	</li>
</ul>
<hr />
<h2>📚 What This Course Includes</h2>
<h3>🧠 Complete Syllabus Coverage</h3>
<ul>
	<li>
	Sequences &amp; Series
	</li>
	<li>
	Calculus (1D &amp; 2D)
	</li>
	<li>
	Linear Algebra
	</li>
	<li>
	Probability
	</li>
	<li>
	Distributions
	</li>
	<li>
	Estimation &amp; Hypothesis Testing
	</li>
	<li>
	Stochastic Processes 
	(Complete IIT JAM syllabus from basic to advanced)
	</li>
</ul>
<hr />
<h3>🎥 Live Classes + Recordings</h3>
<ul>
	<li>
	Interactive live sessions
	</li>
	<li>
	Doubt solving during class
	</li>
	<li>
	Recorded lectures for revision
	</li>
</ul>
<hr />
<h3>📒 Practice &amp; Assignments</h3>
<ul>
	<li>
	Topic-wise questions
	</li>
	<li>
	PYQs (Previous Year Questions)
	</li>
	<li>
	Weekly assignments
	</li>
</ul>
<hr />
<h2>📊 Evaluate Test Series (Included) &ndash; Your Rank Booster 🔥</h2>
<h3>📝 Mock Tests</h3>
<ul>
	<li>
	40+ Full-Length IIT JAM Mocks
	</li>
	<li>
	Based on latest exam pattern
	</li>
	<li>
	Real exam difficulty level
	</li>
</ul>
<hr />
<h3>📈 Performance Analysis</h3>
<ul>
	<li>
	All India Rank (AIR)
	</li>
	<li>
	Score comparison with toppers
	</li>
	<li>
	Accuracy &amp; time analysis
	</li>
	<li>
	Section-wise performance breakdown
	</li>
</ul>
<hr />
<h3>🎯 Smart Insights</h3>
<ul>
	<li>
	Weak area identification
	</li>
	<li>
	Rank prediction system
	</li>
	<li>
	Personalized improvement strategy
	</li>
</ul>
<hr />
<h3>🎥 Detailed Solutions</h3>
<ul>
	<li>
	Step-by-step solutions
	</li>
	<li>
	Video explanations for clarity
	</li>
	<li>
	Shortcut techniques
	</li>
</ul>
<hr />
<h3>👨&zwj;🏫 Mentorship Support</h3>
<ul>
	<li>
	1-1 guidance
	</li>
	<li>
	Strategy sessions
	</li>
	<li>
	Doubt solving support
	</li>
</ul>
<hr />
<h2>🧩 Key Highlights</h2>
<ul>
	<li>
	Complete preparation + test system in one program
	</li>
	<li>
	Real exam simulation experience
	</li>
	<li>
	Focus on concept + practice + analysis
	</li>
	<li>
	Hinglish teaching for better understanding
	</li>
	<li>
	Designed for top rankers
	</li>
</ul>
<hr />
<h2>📅 Course Details</h2>
<ul>
	<li>
	Batch: 2026&ndash;2027
	</li>
	<li>
	Start Date: 1 April 2026
	</li>
	<li>
	Duration: 10-12&nbsp;Months
	</li>
	<li>
	Mode: Live + Recorded
	</li>
	<li>
	Language: Hinglish
	</li>
</ul>
<hr />
<h2>🧲 Who Should Join</h2>
<ul>
	<li>
	Serious IIT JAM aspirants
	</li>
	<li>
	Beginners + repeaters
	</li>
	<li>
	Students targeting top AIR ranks
	</li>
	<li>
	Those who want complete preparation + testing system
	</li>
</ul>
<hr />
<h2>🏆 What You Achieve</h2>
<ul>
	<li>
	Strong conceptual clarity
	</li>
	<li>
	Advanced problem-solving ability
	</li>
	<li>
	Real exam confidence
	</li>
	<li>
	Improved speed &amp; accuracy
	</li>
	<li>
	Clear path to top IIT JAM rank
	</li>
</ul>
<hr />
<h2>📞 Contact</h2>
📱 WhatsApp: 9120502953

IIT JAM Statistics 2027 – Regression Pro Batch

<h2>🎯 IIT JAM Statistics 2027 (Ranker&#39;s Batch)&ndash; Long-Term Complete Course</h2>
Batch Starts: 15 December 
Instructor: Harsh Jaiswal (IIT Bombay Alumnus, PhD Scholar &ndash; IIT Tirupati) 
Powered by Infrencia
<hr />
<h2>📘 Course Description</h2>
The IIT JAM Statistics 2027 Complete Course by Infrencia is a one-stop, fully structured program designed to build strong fundamentals, ensure conceptual clarity, and help students achieve top ranks. 
Led by Harsh Jaiswal, one of India&rsquo;s most trusted educators in Statistics, this course follows a step-by-step approach covering the entire syllabus from beginner to advanced level.
<hr />
<h2>👨&zwj;🏫 About the Instructor &mdash; Harsh Jaiswal</h2>
Led by Harsh Jaiswal, an expert educator with 5+ years of teaching experience at Unacademy and an exceptional academic record:
<ul>
	<li>
	IIT JAM AIR 17 (2021)
	</li>
	<li>
	GATE AIR 12
	</li>
	<li>
	CSIR NET JRF Rank 42
	</li>
	<li>
	Masters from IIT Bombay
	</li>
	<li>
	Currently pursuing PhD at IIT Tirupati
	</li>
</ul>
Mentored 200+ students to top institutions with exceptional results:
<ul>
	<li>
	IIT JAM AIR 5, 6, 7, 8, 9, 11, 12 &hellip;
	</li>
	<li>
	GATE AIR 3, 6, 7, 8, 10
	</li>
	<li>
	Guided multiple aspirants for UPSC ISS
	</li>
	<li>
	Helped hundreds secure admissions in their dream IITs
	</li>
</ul>
<hr />
<h2>📚 What This Course Includes</h2>
<h3>🧠 Full Syllabus Coverage</h3>
<h1>Complete List of Topics</h1>
<ol>
	<li>
	Sequences and Series of Real Numbers
	</li>
	<li>
	Differential Calculus of One Variable
	</li>
	<li>
	Differential Calculus of Two Variables
	</li>
	<li>
	Integral Calculus
	</li>
	<li>
	Matrices and Determinants
	</li>
	<li>
	Descriptive Statistics
	</li>
	<li>
	Probability
	</li>
	<li>
	Univariate Distributions
	</li>
	<li>
	Multivariate Distributions
	</li>
	<li>
	Limit Theorems
	</li>
	<li>
	Sampling Distributions
	</li>
	<li>
	Estimation
	</li>
	<li>
	Testing of Hypotheses
	</li>
	<li>
	Nonparametric Methods
	</li>
	<li>
	Stochastic Processes
	</li>
</ol>
<h3>🎥 Live Classes + Recordings</h3>
Daily interactive live classes (recordings available for revision).
<h3>📒 Daily Practice &amp; Assignments</h3>
Topic-wise problem sets, PYQs, and weekly assignments.
<h3>📝 Weekly Tests + Full-Length Mock Exams</h3>
Regular assessments to track progress and simulate real exam environment.
<h3>💬 Doubt Solving Support</h3>
Live doubt-solving, discussion groups, and personalized guidance.
<h3>📦 Study Material</h3>
High-quality PDFs, notes, formula sheets, and curated question banks.
<h3>🎯 Rank-Oriented Preparation</h3>
Focus on conceptual depth and smart problem-solving techniques essential for IIT JAM.
<hr />
<h2>📅 Batch Starts: 15 December 2025</h2>
Duration: 12&ndash;14 Months 
Mode: Live Online Classes

Paid Courses

Ranker's Batch for Gate 2027

Ranker's Batch - CSIR NET

Regression Batch - IIT JAM 2027

IIT JAM Statistics 2027 – Regression Pro Batch

Rankers Batch

Ranker's Batch - RBI Exam