GATE - CSIT, DSAI & Interview Preparation

GATE, ESE and IIT-JAM

Ace the toughest competitive and government exams in India 

Test Preparation

Linear Algebra: Matrices, determinants, system of linear equations, eigenvalues and eigenvectors, LU 
decomposition. 
Calculus: Limits, continuity and differentiability, Maxima and minima, Mean value theorem, Integration. 
Probability and Statistics: Random variables, Uniform, normal, exponential, Poisson and binomial 
distributions. Mean, median, mode and standard deviation. Conditional probability and Bayes theorem.

Engineering Mathematics For CSE

This course on Mathematics including these topics counting principles ,Probability, including union vs. intersection and independent and dependent events and Bayes' theorem ,Random variables (one and two dimensional),Discrete Distributions (Bernoulli, Binomial, Geometric, Uniform, Negative Binomial distribution) etc. The course will be covered in Hinglish and notes will be provided in English.

Practice Course on Engineering Mathematics

counting principles ,Probability, including union vs. intersection and independent and dependent events and Bayes' theorem ,Random variables (one and two dimensional),Discrete Distributions (Bernoulli, Binomial, Geometric ,Possion , Uniform, Negative Binomial distribution) etc

Probability and Statistics for Gate 2026

In this Course Educator Rahul will complete Linear Algebra: Vector space, subspaces, linear dependence and independence of vectors, matrices, Projection matrix, orthogonal matrix, idempotent matrix, partition matrix and their properties, quadratic forms, systems of linear equations and solutions; Gaussian elimination, eigenvalues and eigenvectors, determinant, rank, nullity, projections etc. Classes will be conducted in Hinglish & notes will be provided in English

Linear Algebra for Gate Data Science

random variables, discrete random variables and 
probability mass functions, uniform, Bernoulli, binomial distribution, Continuous random 
variables and probability distribution function, uniform, exponential, Poisson, normal, standard 
normal, t-distribution, chi-squared distributions, cumulative distribution function, Conditional 
PDF, Central limit theorem, confidence interval, z-test, t-test, chi-squared test

Practice Batch for Probability and Statistics

In this course, Educator Sanskriti Mishra will provide an in-depth exploration of Linear Algebra. The course is designed to cater to learners at all levels, from beginners to advanced, making it suitable for anyone aiming to strengthen their understanding of DBMS concepts. The course emphasizes concept clarity, problem-solving, and exam-specific preparation, offering a well-rounded learning experience. Join now to master Linear Algebra and ace your competitive exams with confidence!

Basics of Linear Algebra for GATE 2026 & 2027 CSIT/DSAI

In this course educator Rahul will cover comprehensive course on Mathematics including these topics counting principles ,Probability, including union vs. intersection and independent and dependent events and Bayes' theorem ,Random variables (one and two dimensional),Discrete Distributions (Bernoulli, Binomial, Geometric ,Possion , Uniform, Negative Binomial distribution) etc. The course will be covered in Hinglish and notes will be provided in English.

Comprehensive Course Probability and Statistics for data science 2026

In this course educator Rahul will cover comprehensive course on Mathematics including these topics counting principles ,Probability, including union vs. intersection and independent and dependent events and Bayes' theorem ,Random variables (one and two dimensional),Discrete Distributions (Bernoulli, Binomial, Geometric ,Possion , Uniform, Negative Binomial distribution) etc. The course will be covered in Hinglish

Engineering Mathematics for DA & CS

Calculus is the mathematical study of continuous change, encompassing two major branches: differential calculus, which focuses on rates of change, and integral calculus, which deals with the accumulation of quantities. Originally known as infinitesimal calculus, it is foundational in various fields such as physics, engineering, and economics

Calculus and Optimization for DA Students

Limit of a function at a real number. Continuity of a function, limit and continuity of the sum, difference, product and quotient of two functions, Hospital rule ,s, increasing and decreasing functions, derivatives of order two, maximum and minimum values of a function, Rolle’s theorem and Lagrange’s mean value theorem etc

Calculus

In this course Rahul Sir will cover comprehensive course on calculus for data science in which topics like Calculus and Optimization: Functions of a single variable, limit, continuity and differentiability, Taylor series, maxima and minima, optimization involving a single variable etc will be covered. The course will be covered in Hinglish and the notes will be provided in Hinglish.

SELF STUDY

GATE - CSIT, DSAI & Interview Preparation Engineering Mathematics

Complete syllabus with Structured Courses

Courses for you

Engineering Mathematics for DA & CS

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Calculus

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Comprehensive Course Probability and Statistics for data science 2026

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Engineering Mathematics For CSE

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Linear Algebra for Gate Data Science

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Practice Batch for Probability and Statistics

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Calculus and Optimization for DA Students

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Basics of Linear Algebra for GATE 2026 & 2027 CSIT/DSAI

Sanskriti Mishra

Probability and Statistics for Gate 2026

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Practice Course on Engineering Mathematics

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Comprehensive Course On Calculus for Data Science

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Engineering Mathematics for DA & CS

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