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GATE DA 2026 Complete Course [with Placement Preparation]
3k+ interested Geeks
Unlock your potential with our GATE Data Science & AI 2026 program and SDE Placement-Preparation Course! Master Machine Learning, Artificial Intelligence, DSA, and core concepts. Prepare for academic excellence, ace interviews, and secure top roles in product and service-based companies with resume building, aptitude, and reasoning skills. Enroll now to fast-track your career and achieve success!
54 Weeks
3k+ interested Geeks
Course Overview
Content & Resources
- 150+ hours of recorded lectures for GATE DA.
- 300+ hours of recorded lectures for Placement.
- 550+ hours of live sessions with expert mentors of GATE DA.
- 150+ hours of premium content by industry leaders and the CEO & Founder, Sandeep Jain.
- Comprehensive supporting notes for every lecture and exam revisions.
- Access to e-study materials, video editorials, and hints for better understanding.
Practice & Assessment
- 250+ exclusive problems for practice for GATE DA.
- 500+ multiple-choice questions (MCQs) for Placement.
- 50+ full contests for real-world problem-solving experience for Placement.
- 5 DSA projects to enhance practical skills for Placement.
- Regular quizzes and assignments to track progress.
Course Coverage:
GATE Subjects
- Probability and Statistics
- Linear Algebra
- Calculus and Optimization
- Programming, Data Structures and Algorithms
- Database Management and Warehousing
- Machine Learning
- Artificial Intelligence
- General Aptitude
Placement Preparation
- Interview Prep Modules
- Comprehensive DSA
- Coding problems
- SDE placement readiness structured into basic, advanced, and subjective modules
- Resume Building Modules
Enroll now to excel in GATE and achieve your dream IIT or PSU!
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What you will learn
What you will learn
Ace GATE with Expert Guidance and Comprehensive Preparation
Learn from the finest GATE faculties and dedicated Subject Matter Experts, ensuring the best learning experience and knowledge. Benefit from:
- Weekly Study Schedules & Strategies to streamline your preparation.
- Concept Builder Modules to strengthen your fundamentals.
- Daily Problem Solving, Previous Year Questions and Module wise Problem Solving for practice.
- GATE Modules with in-depth solutions to previous year questions (PYQs).
- Access to Recorded Content for Interview Preparation with score-boosting tips and effective strategies.
Enroll now and supercharge your journey to success!
Course Content
01Probability and Statistics
- Counting (Permutations and Combinations)
- Probability Axioms
- Sample Space, Events
- Independent Events, Mutually Exclusive Events
- Marginal, Conditional, and Joint Probability
- Bayes' Theorem
- Conditional Expectation and Variance
- Mean, Median, Mode, and Standard Deviation
- Correlation and Covariance
- Random Variables
- Discrete Random Variables and Probability Mass Functions
- Uniform, Bernoulli, Binomial Distribution
- Continuous Random Variables and Probability Distribution Functions
- Uniform, Exponential, Poisson, Normal, Standard Normal Distributions
- t-Distribution, Chi-Squared Distributions
- Cumulative Distribution Function
- Conditional Probability Density Function
- Central Limit Theorem
- Confidence Interval
- z-Test, t-Test, Chi-Squared Test
02Linear 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
- LU Decomposition
- Singular Value Decomposition
03Calculus and Optimization
- Functions of a Single Variable
- Limit
- Continuity
- Differentiability
- Taylor Series
- Maxima and Minima
- Optimization Involving a Single Variable
04DSA Python
- Programming in Python
- Basic Data Structures
- Stacks
- Queues
- Linked Lists
- Trees
- Hash Tables
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Frequently Asked Questions
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