- Courses90% Refund
- Placement
- Data ScienceIBM
- GATE
- Practice
GATE DA Rank Booster with Expert-Curated Questions
-1669185704.svg)
Struggling to improve your GATE rank after your first attempt? GATE Rank Booster with Expert-Curated Questions is designed to help you bridge the gap between your current performance and your dream rank. This intensive, structured course focuses on refining your problem-solving skills, strengthening core concepts, and mastering exam strategies.
Enroll now and take your GATE preparation to the next level!
Limited Seats Batch | Enroll Now to secure your spot.
For further queries reach us via Call/WhatsApp on: +91-9220346130
GATE DA Rank Booster with Expert-Curated Questions
-20250312143437.png){kind=icon}
Course Overview
Key Highlights:
- Live sessions by Experts for in-depth learning and Q&A.
- 5000+ Expert-Curated Questions
- Detailed Study Plan will be provided
- For Dedicated droppers
- Concept-Strengthening Sessions
- Mentor Support & Expert Guidance
- 24/7 AI Chat Doubt Assistance
Course Coverage:
- Probability and Statistics
- Linear Algebra
- Calculus and Optimization
- Programming, Data Structures and Algorithms
- Database Management and Warehousing
- Machine Learning
- Artificial Intelligence
- General Aptitude
Course Features
- Expert mentors have carefully curated an in-depth curriculum covering all GATE subjects.
- Detailed strategies to approach and excel in the GATE exam
- Discover fast and effective techniques to tackle problems efficiently.
- Intensive practice sessions are included to sharpen your problem-solving abilities.
- The entire GATE syllabus is thoroughly covered to ensure complete and comprehensive preparation.
- The course is designed specifically for dropper students, aiming for top ranks in GATE 2026
With a focus on real exam-level questions and expert guidance, this course ensures you enhance speed, accuracy, and confidence to achieve your dream GATE rank.
What you will learn
What you will learn
Learn from Top GATE faculty and dedicated Subject Matter Experts focused on delivering the best education and insights.
- Structured weekly study plans and strategies for effective preparation.
- Concept Builder Modules to strengthen fundamentals.
- Subject-wise practice problems for thorough practice.
- GATE Refresher Modules with solutions to previous years' questions.
- Expert guidance to boost your score and maximize performance.
Course Content
- Programming in Python
- Basic Data Structures
- Stacks
- Queues
- Linked Lists
- Trees
- Hash Tables
- Searching, sorting, hashing
- Asymptotic worst case time and space complexity
- Algorithm design techniques: greedy, dynamic programming and divide and conquer
- Graph traversals, minimum spanning trees, shortest paths
- ER model
- Relational model: relational algebra, tuple calculus, SQL
- Integrity constraints, normal forms
- File organization, indexing (e.g., B and B+ trees)
- Transactions and concurrency control
- 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
