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Key Highlights:<ul><li>150+ hours&nbsp;of recorded content </li><li>500+ hours&nbsp;of live content </li><li>Daily Pratice Problem provided </li><li data-mce-style="box-sizing: border-box; font-size: inherit; margin: 0px; line-height: 1.5 !important; font-family: var(--gfg-font-secondary); color: var(--text-color) !important;" style="box-sizing: border-box; font-size: inherit; margin: 0px; font-family: var(--gfg-font-secondary); line-height: 1.5 !important; color: var(--text-color) !important;">6 Months&nbsp;of&nbsp;24/7&nbsp;One-on-One AI Doubt Assistance</li><li>Supporting Notes/Documentation for every lecture.</li></ul>Course Coverage:<ul><li>Probability and Statistics</li><li>Linear Algebra</li><li>Calculus and Optimization</li><li>Programming, Data Structures and Algorithms</li><li>Database Management and Warehousing</li><li>Machine Learning</li><li>Artificial Intelligence</li><li>General Aptitude</li></ul>Course Features<div class="flex flex-grow flex-col max-w-full"><div data-message-author-role="assistant" data-message-id="247b1dff-3d8e-4da6-8fc4-aeade78fda4d" dir="auto" class="min-h-[20px] text-message flex flex-col items-start whitespace-pre-wrap break-words [.text-message+&amp;]:mt-5 juice:w-full juice:items-end overflow-x-auto gap-2"><div class="flex w-full flex-col gap-1 juice:empty:hidden juice:first:pt-[3px]"><div class="markdown prose w-full break-words dark:prose-invert light"><ul><li>Expert mentors have curated an in-depth coverage of all GATE subjects.</li><li>The course includes detailed strategies to approach and excel in the GATE exam.</li><li>You will learn quick tips and effective tricks to solve problems efficiently.</li><li>Extensive practice sessions are provided to enhance your problem-solving skills.</li><li>The course is designed to strengthen your understanding of fundamental concepts.</li><li>There is thorough coverage of the entire GATE syllabus to ensure comprehensive preparation.</li></ul>Learning Benefits:<ul data-mce-style="font-weight: 400;"><li>Guidance from Expert Mentors </li><li>Comprehensive GATE syllabus coverage</li><li>Exclusive access to e-study materials</li><li>Online doubt-solving with AI&nbsp;</li><li>Quizzes,&nbsp;DPPs&nbsp;and&nbsp;Previous Year Questions&nbsp;solutions</li></ul>Enroll now to excel in&nbsp;GATE&nbsp;and achieve your dream&nbsp;IIT&nbsp;or&nbsp;PSU!NOTE - All sales are final, no refunds will be provided for offline and live courses.However, if needed, participants may be allowed to shift to a different batch of the same course, subject to availability and course policies (from 1st June).</div></div></div></div>

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<ul><li>Counting (Permutations and Combinations)</li><li>Probability Axioms</li><li>Sample Space, Events</li><li>Independent Events, Mutually Exclusive Events</li><li>Marginal, Conditional, and Joint Probability</li><li>Bayes' Theorem</li><li>Conditional Expectation and Variance</li><li>Mean, Median, Mode, and Standard Deviation</li><li>Correlation and Covariance</li><li>Random Variables</li><li>Discrete Random Variables and Probability Mass Functions</li><li>Uniform, Bernoulli, Binomial Distribution</li><li>Continuous Random Variables and Probability Distribution Functions</li><li>Uniform, Exponential, Poisson, Normal, Standard Normal Distributions</li><li>t-Distribution, Chi-Squared Distributions</li><li>Cumulative Distribution Function</li><li>Conditional Probability Density Function</li><li>Central Limit Theorem</li><li>Confidence Interval</li><li>z-Test, t-Test, Chi-Squared Test</li></ul><a data-mce-href="https://media.geeksforgeeks.org/wp-content/uploads/20241231152651502304/file.pdf" href="https://media.geeksforgeeks.org/wp-content/uploads/20241231152651502304/file.pdf" style="color: rgb(22, 145, 121);" data-mce-style="color: #169179;">Probability &amp; Statistics Planner</a>

Probability and Statistics

<ul><li>Vector Space</li><li>Subspaces</li><li>Linear Dependence and Independence of Vectors</li><li>Matrices</li><li>Projection Matrix</li><li>Orthogonal Matrix</li><li>Idempotent Matrix</li><li>Partition Matrix and their Properties</li><li>Quadratic Forms</li><li>Systems of Linear Equations and Solutions</li><li>Gaussian Elimination</li><li>Eigenvalues and Eigenvectors</li><li>Determinant</li><li>Rank</li><li>Nullity</li><li>Projections</li><li>LU Decomposition</li><li>Singular Value Decomposition</li></ul><a data-mce-href="https://media.geeksforgeeks.org/wp-content/uploads/20241231152830997807/file.pdf" href="https://media.geeksforgeeks.org/wp-content/uploads/20241231152830997807/file.pdf" style="color: rgb(22, 145, 121);" data-mce-style="color: #169179;">Linear Algebra Planner</a>

Linear Algebra

<ul><li>Functions of a Single Variable</li><li>Limit</li><li>Continuity</li><li>Differentiability</li><li>Taylor Series</li><li>Maxima and Minima</li><li>Optimization Involving a Single Variable</li></ul><a data-mce-href="https://media.geeksforgeeks.org/wp-content/uploads/20241231152743911891/file.pdf" href="https://media.geeksforgeeks.org/wp-content/uploads/20241231152743911891/file.pdf" style="color: rgb(22, 145, 121);" data-mce-style="color: #169179;">Claculus &amp; Optimization Planner</a>

Calculus and Optimization

<ul><li>Programming in Python</li><li>Basic Data Structures<ul><li>Stacks</li><li>Queues</li><li>Linked Lists</li><li>Trees</li><li>Hash Tables</li></ul></li></ul>

DSA Python

<ul><li>Search Algorithms<ul><li>Linear Search</li><li>Binary Search</li></ul></li><li>Basic Sorting Algorithms<ul><li>Selection Sort</li><li>Bubble Sort</li><li>Insertion Sort</li></ul></li><li>Divide and Conquer<ul><li>Mergesort</li><li>Quicksort</li></ul></li><li>Introduction to Graph Theory<ul><li>Basic Graph Algorithms</li><li>Traversals</li><li>Shortest Path</li></ul></li></ul><a data-mce-href="https://media.geeksforgeeks.org/wp-content/uploads/20241231153021934691/Algo.pdf" href="https://media.geeksforgeeks.org/wp-content/uploads/20241231153021934691/Algo.pdf" style="color: rgb(22, 145, 121);" data-mce-style="color: #169179;">Algorithms planner</a>

Algorithms

<ul><li>ER model</li><li>Relational model: relational algebra, tuple calculus, SQL</li><li>Integrity constraints, normal forms</li><li>File organization, indexing (e.g., B and B+ trees)</li><li>Transactions and concurrency control</li></ul><a data-mce-href="https://media.geeksforgeeks.org/wp-content/uploads/20241231152958404113/file.pdf" href="https://media.geeksforgeeks.org/wp-content/uploads/20241231152958404113/file.pdf" style="color: rgb(22, 145, 121);" data-mce-style="color: #169179;">DBMS Planner</a>

DBMS

<ul><li><span data-mce-style="color: #374151; font-family: arial, helvetica, sans-serif; font-size: 16px; white-space-collapse: preserve;" style="color: rgb(55, 65, 81); font-family: arial, helvetica, sans-serif; font-size: 16px; white-space-collapse: preserve;">Data Warehouse Modeling<ul><li>Schema for Multidimensional Data Models </li><li>Concept Hierarchies Measures</li></ul></li></ul>

Warehousing

<ul><li>Supervised Learning <ul><li>Regression and Classification Problems</li><li>Simple Linear Regression</li><li>Multiple Linear Regression</li><li>Ridge Regression</li><li>Logistic Regression</li><li>k-Nearest Neighbor</li><li>Naive Bayes Classifier</li><li>Linear Discriminant Analysis</li><li>Support Vector Machine</li><li>Decision Trees</li><li>Bias-Variance Trade-Off</li><li>Cross-Validation Methods<ul><li>Leave-One-Out (LOO) Cross-Validation</li><li>k-Folds Cross-Validation</li></ul></li><li>Multilayer Perceptron</li><li>Feed-Forward Neural Network</li></ul></li><li>Unsupervised Learning<ul><li>Clustering Algorithms</li><li>k-Means/k-Medoid</li><li>Hierarchical Clustering<ul><li>&nbsp;Top-Down</li><li>Bottom-Up (Single-Linkage, Multiple-Linkage)</li></ul></li><li>Dimensionality Reduction<ul><li>Principal Component Analysis</li></ul></li></ul></li></ul>

Machine Learning

<ul><li>Search<ul><li>Informed Search</li><li>Uninformed Search</li><li>Adversarial Search</li></ul></li><li>Logic<ul><li>Propositional Logic</li><li>Predicate Logic</li></ul></li><li>Reasoning Under Uncertainty Topics<ul><li>Conditional Independence Representation</li><li>Exact Inference Through Variable Elimination</li><li>Approximate Inference Through Sampling</li></ul></li></ul>

Artificial Intelligence

<a data-mce-href="https://docs.google.com/spreadsheets/d/1kdHfDcZO3551qC9ZH5EhO_rkQNjcHNP7i0qkIAqV-tk/edit?gid=0#gid=0" href="https://docs.google.com/spreadsheets/d/1kdHfDcZO3551qC9ZH5EhO_rkQNjcHNP7i0qkIAqV-tk/edit?gid=0#gid=0">Planner</a>Note: Planner is subjective to change.

Batch Planner

The finest&nbsp;GATE faculties&nbsp;and a team of&nbsp;Subject Matter Experts&nbsp;committed to providing you with the best learning and knowledge.<ul><li>Concept Builder Modules</li><li>Subject wise Practice Problems</li><li>GATE Modules covering PYQ solutions </li><li>Score Boosting guidance</li></ul>

Unlock your path to success with our GATE Data Science and Artificial Intelligence 2026 program! Designed by industry experts, our specialized courses in Machine Learning and AI will empower you to achieve academic excellence. Accelerate your career growth and realize your full potential- Enroll now!