GATE DA 2026 Online Test Series
29k+ interested Geeks
Prepare for GATE Data Science & Artificial Intelligence 2026 with our comprehensive Online Test Series! Practice with previous year questions, subject-wise tests, mixed-topic tests, and full-length mock exams. Strengthen your preparation with Mock Tests and detailed performance analysis to secure a top rank in GATE DA 2026.
32 Weeks
Course Overview
GATE DA 2026 Test Series Overview
Aiming for a top All India Rank in the GATE DA 2026 exam, but not sure where you stand?
Aiming for a top rank in the GATE Data Science & Artificial Intelligence 2026 exam? Our GATE DA 2026 Test Series is designed to evaluate and enhance your preparation with a structured and comprehensive set of tests.
Key Features:
- 30 Topic-Wise Tests
- 15+ Subject-Wise Tests
- 10 Full-Length Mock Tests
- 8 Mixed Subject Tests
- GATE 2024 Master Question Paper Contest
- Detailed Performance Analysis with Student Rankings
- Video Solutions by the experts
Why Choose This Test Series?
- All India Mock Test GATE DA 2026
- Compete nationwide and evaluate your performance with detailed benchmarking.
- Identify strengths and weaknesses with insightful analytics.
- Improve speed, accuracy, and time management.
- Expert-Curated Questions
- Video solution for all the Tests
- Tests crafted by GATE DA toppers and industry professionals.
- Aligned with the latest GATE DA 2026 syllabus and exam pattern.
Subjects Covered:
- General Aptitude
- Probability and Statistics
- Linear Algebra
- Calculus and Optimization
- Programming, Data Structures, and Algorithms
- Database Management and Warehousing
- Machine Learning
- Artificial Intelligence
Register for the GATE DA 2026 Online Test Series, and get access to the test series modules.
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Course Content
01Schedule
| Test Name | Subjects | Actual LIVE Date |
|---|---|---|
| TT 1 | Probability and Statistics - Part 1 (Counting (Permutation and combinations), Probability axioms, Sample space, Events, Independent events, Mutually exclusive events, Bayes Theorem and Conditional Probability) | 31-May-2025 |
| TT 2 | Database Management - Part 1 (Database Design & ER Model: Introduction Of RDBMS, ER Model, Coversion of ER Model to RDBMS, Finding Number of Candidate key & Super keys) | 31-May-2025 |
| TT 3 | Programming - Part 1(Programming in Python Part-1: Language Fundamentals, Operators, Data Types, List, Set & Tuple, Dictionaries, Strings) | 31-May-2025 |
| TT 4 | Linear Algebra - Part 1 (Vector space, Subspaces, Linear dependence and independence of vectors, matrices, Projection matrix, Orthogonal matrix, idempotent matrix, partion matrix) | 31-May-2025 |
| TT 5 | General Aptitude - Part 1 (Quantitative Aptitude) | 4-Jun-2025 |
| TT 6 | Algorithms - Part 1 (Asymptotic Analysis and space complexity: Asymptotic Notation, Finding Time Complexity, Solving Recurrence Relation) | 4-Jun-2025 |
| TT 7 | Calculus and Optimization - Part 1 (Functions of a single variable, Limit, Continuity and Differentiability | 4-Jun-2025 |
| TT 8 | Machine Learning - Part 1 (Basics & Regression: Simple linear regression, Multiple linear regression, Ridge regression, Logistic regression) | 4-Jun-2025 |
| TT 9 | Artificial Intelligence - Part 1 (Search: Informed, Uninformed, Adversarial; Logic, Propositional) | 7-Jun-2025 |
| TT 10 | Data Structures - Part 1 (Linked List, Stacks & Queues) | 7-Jun-2025 |
| TT 11 | Probability and Statistics - Part 2 (Random variables, Discrete random variables, Continuous random variables and Probability mass functions, Bivariate random variables, marginal probability, joint probability , conditional expectation , independence of events, Conditional expectation and variance, Mean, Median, Mode and Standard deviation, Correlation, and covariance) | 7-Jun-2025 |
| TT 12 | Database Management - Part 2 (FD's & Normalization: Membership set & Equilty between FD Sets, Minimal Cover, Properties of Decomposition, Normal Form, Decomposition Into Higher Normal Form) | 7-Jun-2025 |
| TT 13 | Programming - Part 2 (Programming in Python Part-2: Conditons, Flow Control Statement, Functions) | 10-Jun-2025 |
| TT 14 | Linear Algebra - Part 2 (Quadratic forms, Systems of linear equations and solutions; Gaussian elimination, Eigenvalues and Eigenvectors,) | 10-Jun-2025 |
| TT 15 | General Aptitude - Part 2 (Analytical Aptitude) | 10-Jun-2025 |
| TT 16 | Algorithms - Part 2 (Searching and Sorting(Divide and Conquer)) | 10-Jun-2025 |
| TT 17 | Calculus and Optimization - Part 2 (Taylor series, Maxima and Minima, Optimization involving a single variable) ( | 14-Jun-2025 |
| TT 18 | Machine Learning - Part 2 (k-nearest neighbour, Naive Bayes classifier, Linear discriminant analysis, Principal component analysis, Support vector machine) | 14-Jun-2025 |
| TT 19 | Artificial Intelligence - Part 2 ("Logic: Predicate Reasoning under uncertainty topics: Conditional independence representation, Exact inference through variable elimination, and Approximate inference through sampling") ( | 14-Jun-2025 |
| TT 20 | Data Structures - Part 2 (Trees, Hash Tables) | 14-Jun-2025 |
| TT 21 | Probability and Statistics - Part 3 (Uniform, Bernoulli, Binomial distribution, Poisson, Negative bionomial, Hypergeometric distribution, Normal distribution, Beta distribution, Gamma distribution, Standard normal distribution, Chi square distribution, Exponential)( | 17-Jun-2025 |
| TT 22 | Database Management - Part 3 (Relational Algebra, Structured Query Language(SQL), TRC) | 17-Jun-2025 |
| TT 23 | Linear Algebra - Part 3 (Determinant, Rank, Nullity, Projections, LU decomposition, Singular value decompositoon) | 17-Jun-2025 |
| TT 24 | General Aptitude - Part 3 (Spatial Aptitude & Verbal Aptitude) | 17-Jun-2025 |
| TT 25 | Algorithms - Part 3 (Graph algorithms, Traversals & Shortest Path) | 21-Jun-2025 |
| TT 26 | Machine Learning - Part 3 ( Decision trees, Multi-layer perceptron, Feed-forward neural network) | 21-Jun-2025 |
| TT 27 | Probability and Statistics - Part 4 (Sampling, Types of sampling , t-distribution , F distribution , central limit theorem , chebysev inequality, goodness of fit - chi square test , f test , t test, Confidence interval) | 21-Jun-2025 |
| TT 28 | Database Management - Part 4 ( File organization, Indexing) | 21-Jun-2025 |
| TT 29 | Warehousing ("Data transformation such as normalization, Discretization, Sampling, Compression; Data warehouse modelling: Schema for multidimensional data models, Concept hierarchies Measures: Categorization and Computations") | 28-Jun-2025 |
| TT 30 | Machine Learning - Part 4 ("Unsupervised Learning: Clustering algorithms, k-means/k-medoid, Hierarchical clustering, Top-downSingle-linkage, Multiple-linkage Classification metrics and cross validation") | 28-Jun-2025 |
| ST 1 | Probability and Statistics, Python Programming | 5-July-2025 |
| ST 2 | Data Structures and Algorithms | 5-July-2025 |
| ST 3 | General Aptitude | 9-July-2025 |
| ST 4 | Linear Algebra | 9-July-2025 |
| ST 5 | Database Management and Warehousing | 13-July-2025 |
| ST 6 | Machine Learning | 13-July-2025 |
| ST 7 | Artificial Intelligence | 17-July-2025 |
| ST 8 | Calculus and Optimization | 17-July-2025 |
| ST 9 | Probability and Statistics | 21-July-2025 |
| ST 10 | Python Programming, Data Structures and Algorithms | 21-July-2025 |
| ST 11 | General Aptitude | 25-July-2025 |
| ST 12 | Linear Algebra | 25-July-2025 |
| ST 13 | Database Management and Warehousing | 29-July-2025 |
| ST 14 | Machine Learning | 29-July-2025 |
| ST 15 | Artificial Intelligence | 2-August-2025 |
| ST 16 | Calculus and Optimization | 2-August-2025 |
| MT 1 | Probability and Statistics + Linear Algebra | 6-August-2025 |
| MT 2 | Calculus and Optimization + General Aptitude | 6-August-2025 |
| MT 3 | Machine Learning + Artificial Intelligence | 10-August-2025 |
| MT 4 | Python Programming, Data Structures and Algorithms + Database Management and Warehousing | 10-August-2025 |
| MT 5 | Probability and Statistics + Linear Algebra | 14-August-2025 |
| MT 6 | Calculus and Optimization + General Aptitude | 14-August-2025 |
| MT 7 | Machine Learning + Artificial Intelligence, Python Programming | 18-August-2025 |
| MT 8 | Data Structures and Algorithms + Database Management and Warehousing | 18-August-2025 |
| FLT 1 | Complete GATE Syllabus | 23-August-2025 |
| FLT 2 | Complete GATE Syllabus | 30-August-2025 |
| FLT 3 | Complete GATE Syllabus | 6-September-2025 |
| FLT 4 | Complete GATE Syllabus | 13-September-2025 |
| FLT 5 | Complete GATE Syllabus | 20-September-2025 |
| FLT 6 | Complete GATE Syllabus | 27-September-2025 |
| FLT 7 | Complete GATE Syllabus | 4-October-2025 |
| FLT 8 | Complete GATE Syllabus | 11-October-2025 |
| FLT 9 | Complete GATE Syllabus | 18-October-2025 |
| FLT 10 | Complete GATE Syllabus | 25-October-2025 |
| FLT 11 | Complete GATE Syllabus | 1-November-2025 |
| FLT 12 | Complete GATE Syllabus | 8-November-2025 |
| FLT 13 | Complete GATE Syllabus | 15-November-2025 |
| FLT 14 | Complete GATE Syllabus | 22-November-2025 |
| GATE1 | Complete GATE Syllabus | 29-November-2025 |
| GATE2 | GATE 2024 DA | 6-December-2025 |
02Topic Wise Mock Tests
Probability and Statistics
- Probability and Statistics - Part 1
- Probability and Statistics - Part 2
- Probability and Statistics - Part 3
- Probability and Statistics - Part 4
Database Management
- Database Management - Part 1
- Database Management - Part 2
- Database Management - Part 3
- Database Management - Part 4
Programming
- Programming - Part 1
- Programming - Part 2
Linear Algebra
- Linear Algebra - Part 1
- Linear Algebra - Part 2
- Linear Algebra - Part 3
General Aptitude
- General Aptitude - Part 1
- General Aptitude - Part 2
- General Aptitude - Part 3
Algorithms
- Algorithms - Part 1
- Algorithms - Part 2
- Algorithms - Part 3
Calculus and Optimization
- Calculus and Optimization - Part 1
- Calculus and Optimization - Part 2
Machine Learning
- Machine Learning - Part 1
- Machine Learning - Part 2
- Machine Learning - Part 3
- Machine Learning - Part 4
Artificial Intelligence
- Artificial Intelligence - Part 1
- Artificial Intelligence - Part 2
Data Structures
- Data Structures - Part 1
- Data Structures - Part 2
Warehousing
- Warehousing - Part 1
03Subject Wise Mock Tests
Calculus and Optimization
- Calculus and Optimization Test 1
- Calculus and Optimization Test 2
Linear Algebra
- Linear Algebra Test 1
- Linear Algebra Test 2
Probability and Statistics
- Probability and Statistics Test 1
- Probability and Statistics Test 2
Programming, Data Structures and Algorithms
- Programming, Data Structures and Algorithms Test 1
- Programming, Data Structures and Algorithms Test 2
General Aptitude
- General Aptitude Test 1
- General Aptitude Test 2
Database Management and Warehousing
- Database Management and Warehousing Test 1
- Database Management and Warehousing Test 2
Artificial Intelligence
- Artificial Intelligence Test 1
- Artificial Intelligence Test 2
Machine Learning
- Machine Learning Test 1
- Machine Learning Test 2
04Full-Length Mock Tests
- Mock Test 1
- Mock Test 2
- Mock Test 3
- Mock Test 4
- Mock Test 5
- Mock Test 6
- Mock Test 7
- Mock Test 8
- Mock Test 9
- Mock Test 10
- Mock Test 11
- Mock Test 12
- Mock Test 13
- Mock Test 14
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Pricing
Frequently Asked Questions
01
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02
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03
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04
What are the types of Tests available in this Test Series
05
What type of Questions are there in this Test Series
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