Mission 100 - GATE DA 2026
839 interested Geeks
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Mission 100 GATE DA 2026 is a Premium Crash Course built for focused, exam-ready revision, covering Python, Data Structures & Algorithms, AI, Machine Learning, DBMS, Aptitude, Linear Algebra, Probability & Statistics, and Calculus & Optimization, with score-focused practice, smart attempt strategy, and exam-oriented question practice designed to help students target a Top 100 rank.
7 Weeks
Need Help? Call Us at 08069289001or Request a Callback
Course Overview
Key Highlights
Most Expected 500+ Question Will Be Covered
Cover 500+ most expected, exam-focused questions for thorough practice and confidence.
Cover 500+ most expected, exam-focused questions for thorough practice and confidence.
Mentor-Led Learning
Expert mentors and industry professionals simplify complex topics into easy concepts.
Expert mentors and industry professionals simplify complex topics into easy concepts.
24/7 AI Doubt Support / Mentorship
Mentor support and 24/7 AI doubt assistance.
Mentor support and 24/7 AI doubt assistance.
This is a batch for students who are targeting a rank under 100
Must complete the syllabus ( theory ) before attending the class
Must complete the syllabus ( theory ) before attending the class
PYQ in the form of Quiz
Topic-tagged PYQs in quiz format for fast practice, quick evaluation, and exam-ready revision.
Topic-tagged PYQs in quiz format for fast practice, quick evaluation, and exam-ready revision.
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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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What you will learn
What you will learn
- Subject who's questions will be covered in class Python, DSA, Machine Learning, AI, DBMS, Aptitude, Linear Algebra, Probability & Statistics, and Calculus & Optimization.
- Learn score-maximizing shortcuts, logical solving methods, and exam-focused approaches tailored for GATE DA.
- Decode recurring question types, trending topics, and high-weight concepts with topic-tagged PYQs.
- Improve with analytics-driven feedback on speed, accuracy, and overall exam performance.
Upcoming Batches
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Frequently Asked Questions
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Do I need to complete the theory/syllabus before joining the classes?
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What does “PYQ in the form of Quiz” mean?
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How can I contact support if I have questions or face issues?
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Is 24×7 AI doubt support available?
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