GATE DA Course & Test Series Schedule

GATE DA 2027 — Detailed Course Timeline & Weekly Test Schedule

General

1 items

Week

Date

Concept

Lectures

Test Date

Status

WeekWeek # 0

Start

Concept

GATE DA Orientation Session

Lectures-

TestJan 31

Live session at 11 AM

Probability & Statistics

7 items

Week

Date

Concept

Lectures

Test Date

Status

Week-

Start

Concept

Introduction & Outline

Lectures-

TestFeb 1

Live session at 11 AM

WeekWeek # 1

StartFeb 2

Concept

Module 1: Counting

Factorials, Permutations, Combinations, Binomail & Multinomial Theorem, PIE, Seating, Circular Arrangements, Derangement

Module 2: Probability

Sample Space & Events, Conditional Probability, Multiplication Theorem, Independent Events

LecturesModule 1: Lec 1-8 Module 2: Lec 1-3

TestFeb 8

Topic Test # 1 Live

Practice Set [Module 1] Released

Live session [Module 1] at 8 AM

WeekWeek # 2

StartFeb 9

Concept

Module 2: Probability

Marginal & Joint Probability, Total Probability, Bayes' Theorem

Module 3: Statistics

Mean, Mode, Median, Skewness, Kurtosis, Range, Interquartile Range, Variance, Standard Deviation, Covariance, Correlation

LecturesModule 2: Lec 4-7 Module 3: Lec 1-7

TestFeb 15

Topic Test # 2 Live

Practice Set [Module 2] Released

Practice Set [Module 3] Released

WeekWeek # 3

StartFeb 16

Concept

Module 4: Discrete Random Variables

PMF, CDF, Expectation, Variance, SD of Discrete Random Variables, Conditional Distributions, Conditional Expectation, Conditional Variance, Covariance, Joint PMF, Joint CDF, Independent Variables, Discrete Uniform, Bernoulli, Binomial, Poisson Random Variables

LecturesModule 4: Lec 1-14

TestFeb 22

Topic Test # 3 Live

Practice Set [Module 4] Released

Live session [Module 2, 3 & 4] at 5 PM

WeekWeek # 4

StartFeb 23

Concept

Module 5: Continuous Random Variables

Basics of Integration, PDF, CDF, Expectation, Variance, SD of Continuous Random Variables, Conditional Distributions, Conditional Expectation, Conditional Variance, Covariance, Joint PDF, Joint CDF, Independent Variables, Uniform, Exponential, Normal, Standard Normal Random Variables

LecturesModule 5: Lec 1-14

TestMar 1

Topic Test # 4 Live

Practice Set [Module 5] Released

WeekWeek # 5

StartMar 2

Concept

Module 6: Statistical Inference

Markov's and Chebyshev's Inequality, Central Limit Theorem, Sample Mean, Sample Variance, Point Estimation, Confidence Intervals, Hypothesis Testing: z-test, t-test, chi-square test

LecturesModule 6: Lec 1-15

TestMar 8

Topic Test # 5 Live

Practice Set [Module 6] Released

WeekWeek # 6

StartMar 9

Concept

Subject Backlog & Revision

Lectures-

TestMar 15

Subject Test # 1 Live

Live session [All Modules] soon!

Calculus

5 items

Week

Date

Concept

Lectures

Test Date

Status

Week-

Start

Concept

Introduction & Outline

Lectures-

TestMar 15

Live session at 12 PM

WeekWeek # 7

StartMar 16

Concept

Module 1: Functions

Standard Functions, Odd, Even Functions, Types of functions, Inverse functions, Standard functions

Module 2: Limits

Limits, Standard Limits, Limit Laws

LecturesModule 1: Lec 1-6 + Module 2: Lec 1-3

TestMar 22

Topic Test # 6 Live

Practice Set [Module 1] Released

Practice Set [Module 2] Released

WeekWeek # 8

StartMar 23

Concept

Module 3: Continuity & Differentiability

Continuity, Differentiability, Interconnection Between Limits, L Hopital's rule, Mean Value Theorem, Differentiation

LecturesModule 3: Lec 1-7

TestMar 29

Topic Test # 7 Live

Practice Set [Module 3] Released

WeekWeek # 9

StartMar 30

Concept

Module 4: Taylor Series

Taylor Series Theorem, Taylor series of standard functions, Ratio Test

Module 5: Maxima, Minima & Optimization

Maxima and Minima, Optimization involving a single variable

LecturesModule 4: Lec 1-4 + Module 5: Lec 1-3

TestApr 5

Topic Test # 8 Live

Practice Set [Module 4] Released

Practice Set [Module 5] Released

WeekWeek # 10

StartApr 6

Concept

Subject Backlog & Revision

Lectures-

TestApr 11

Subject Test # 2 Live

Live session [All Modules] soon!

Linear Algebra

6 items

Week

Date

Concept

Lectures

Test Date

Status

Week-

Start

Concept

Introduction & Outline

Lectures-

TestApr 12

WeekWeek # 11

StartApr 13

Concept

Module 1: Matrix Algebra

Scalars, Vectors, Matrices, Tensors, Types of Matrices, Matrix Addition, Scalar multiplication, Subtraction, Multiplication, Conformability, Transpose, Symmetric & Skew Symmetric Matrices, Idempotent, Involutory, Nilpotent Matrices, Periodic Matrices, Partitioned Matrices, Trace of a matrix

Module 2: Vector Algebra

Scalars, Vectors, Vector notation, Vector addition, Subtraction, Scalar multiplication, Dot product, Angle, Orthogonality, L1, L2, Lp, max norms, Euclidean distance and other metrics, Projection of vectors

LecturesModule 1: Lec 1-6 Module 2: Lec 1-4

TestApr 19

Topic Test # 9 Live

Practice Set [Module 1] Released

Practice Set [Module 2] Released

WeekWeek # 12

StartApr 20

Concept

Module 3: Vector Spaces, Basis & Dimensions

Vectors & Vector Spaces, Subspaces, Linear Combinations, Span, Linear Independence and Dependence, Basis and Dimension, Rank of matrix

Module 4: System of Linear Equations

System of Linear Equations, Homogeneous, Non- Homogeneous Systems, Nullity, Rank-Nullity Theorem, Gaussian elimination, Echelon Forms, Gauss-Jordan Elimination, Inverse of a Matrix

LecturesModule 3: Lec 1-7 Module 4: Lec 1-5

TestApr 26

Topic Test # 10 Live

Practice Set [Module 3] Released

Practice Set [Module 4] Released

WeekWeek # 13

StartApr 27

Concept

Module 5: Orthogonality & Projections

Orthogonality, Orthogonal Subspaces, Four Fundamental Spaces, Projections & Least Squares, Gram-Schmidt Orthogonalization, Orthogonal Matrices, QR Decomposition

Module 6: LU Decomposition & Determinants

LU Decomposition, Determinants: Calculation & its Properties, Vector & Matrix Transformations, Matrix of a linear map

LecturesModule 5: Lec 1-6 Module 6: Lec 1-5

TestMay 3

Topic Test # 11 Coming Soon

Practice Set [Module 5] Released

Practice Set [Module 6] Released

WeekWeek # 14

StartMay 4

Concept

Module 7: Eigenvalues & Eigenvectors

Eigenvalues, Eigenvectors, Diagonalization, Defective matrices, Properties of Eigenspaces, Symmetric Matrices, Quadratic Forms, Positive Definite Matrices, Spectral Theorem

Module 8: Singular Value Decomposition

Singular Value Decomposition Formulation, Singular Values, Low-Rank Approximation, Applications

LecturesModule 7: Lec 1-5 Module 8: Lec 1-3

TestMay 10

WeekWeek # 15

StartMay 11

Concept

Subject Backlog & Revision

Lectures-

TestMay 16

Artificial Intelligence

6 items

Week

Date

Concept

Lectures

Test Date

Status

Week-

Start

Concept

Introduction & Outline

Lectures-

TestMay 17

WeekWeek # 16

StartMay 18

Concept

Module 1: Uninformed Search

Search, BFS, DFS, Depth limited, Iterative Deepening, Uniform Cost Search, Bidirectional Search

LecturesIntro to AI + Module 1: Lec 1-6

TestMay 24

WeekWeek # 17

StartMay 25

Concept

Module 2: Informed Search

Best First, Greedy Best-First Search, A* Search, Iterative Deepening A*, Weighted A*, AND/OR Graph, AO* Search

Module 3: Local Search

Hill Climb Search, Simulated Annealing, Genetic Algorithms

LecturesModule 2: Lec 1-5 + Module 3: Lec 1-4

TestMay 31

WeekWeek # 18

StartJun 1

Concept

Module 4: Adversarial Search

Game Theory, Minimax Search, Alpha Beta Pruning, Heuristic Alpha Beta Tree Search, Monte Carlo Tree Search

Module 5: Propositional Logic

Logic, Logical Equivalence, Inference

LecturesModule 4: Lec 1-9 + Module 5: Lec 1-6

TestJun 7

WeekWeek # 19

StartJun 8

Concept

Module 6: Predicate Logic

Predicate Logic, Inference & Translations

Module 7: Uncertainity

Uncertainity, Bayes Nets, Conditional Independence, d-Separation, Inference, Variable Elimination Algorithm, Approximate Inference

LecturesModule 6: Lec 1-2 + Module 7: Lec 1-8

TestJun 14

WeekWeek # 20

StartJun 15

Concept

Subject Backlog & Revision

Lectures-

TestJun 20

Programming & DSA

7 items

Week

Date

Concept

Lectures

Test Date

Status

Week-

Start

Concept

Introduction & Outline

Lectures-

TestJun 21

WeekWeek # 21

StartJun 22

Concept

Module 1: Basics of Python

Tokens, Operators, Data Types & Expressions, Input & Output, Variables & Memory Management, Operator Precedence

Module 2: Data Types & Control Statements in Python

Control Flow: Conditional Statements & Loops, Data Types in Python: Strings, Lists, Tuples, Sets, Dictionary

LecturesModule 1: Lec 1-9 Module 2: Lec 1-8

TestJun 28

WeekWeek # 22

StartJun 29

Concept

Module 3: Functions, File & Error Handling in Python

Functions, Recursion, Advanced Functions (Lambda, Map, Filter), File Handling, Error Handling & Exception Handling

Module 4: Stack & Queue

Stacks, Queues

LecturesModule 3: Lec 1-6 Module 4: Lec 1-6

TestJul 5

WeekWeek # 23

StartJul 6

Concept

Module 5: Linked Lists & Hashing

Linked Lists, Doubly Linked Lists, Circular Linked Lists, Hashing

Module 6: Complexity Analysis

Time Complexity, Space Complexity, Best, Average, and Worst Case Analysis

LecturesModule 5: Lec 1-7 Module 6: Lec 1-5

TestJul 12

WeekWeek # 24

StartJul 13

Concept

Module 7: Searching and Sorting Algorithms

Linear Search, Binary Search, Selection Sort, Bubble Sort, Insertion Sort

Module 8: Divide and Conquer

D&C Algorithms, Binary Search Revisited, Merge Sort, Quick Sort

LecturesModule 7: Lec 1-12 Module 8: Lec 1-18

TestJul 19

WeekWeek # 25

StartJul 20

Concept

Module 9: Trees

Trees & Properties, Binary Tree Traversals, Binary Search Trees: Insertion and Search, Deletion, AVL Trees

Module 10: Graphs

Graph Theory, Basic Graph Algorithms: Traversals, BFS, DFS and Shortest Path algorithms, Dijsktra's Algorthm, Bellman Ford Algorithm, Topological Sort, Minimum Spanning Trees, Prims, Kruskals

LecturesModule 9: Lec 1-41 Module 10: Lec 1-34

TestJul 26

WeekWeek # 26

StartJul 27

Concept

Subject Backlog & Revision

Lectures-

TestAug 1

Machine Learning

7 items

Week

Date

Concept

Lectures

Test Date

Status

Week-

Start

Concept

Introduction & Outline

Lectures-

TestAug 2

WeekWeek # 27

StartAug 3

Concept

Module 1: Regression

Simple Linear Regression, Multiple Linear Regression, Lasso & Ridge Regression, Error Metrics in Regression

LecturesIntro to ML Lecture + Module 1: Lec 1-6

TestAug 9

WeekWeek # 28

StartAug 10

Concept

Module 2: Classification

Error Metrics in Classification, k-Nearest Neighbors, Naive Bayes Classifier, Logistic Regression

LecturesModule 2: Lec 1-9

TestAug 16

WeekWeek # 29

StartAug 17

Concept

Module 3: Decision Trees & Ensembling

Gini Index, Information Gain, Construction, Pruning, Bagging, Random Forests, Boosting

Module 4: Clustering

k-Means Clustering, Hierarchical Clustering, Bottom-Up, Top-Down Clustering, Evaluation of Clustering Algorithms

LecturesModule 3: Lec 1-5 Module 4: Lec 1-8

TestAug 23

WeekWeek # 30

StartAug 24

Concept

Module 5: Model Evaluation & Validation

Bias-Variance Trade-off, Holdout, Leave-One-Out, k-Folds, Stratified k-Folds Cross Validation, Model Selection, Nested Cross-Validation

Module 6: Neural Networks

Artificial Neural Networks, Activation Functions, Loss Functions, Feed-forward Neural Networks, Multi-Layer Perceptron, Back Propagation Algorithm

LecturesModule 5: Lec 1-4 Module 6: Lec 1-6

TestAug 30

WeekWeek # 31

StartAug 31

Concept

Module 7: Dimensionality Reduction

Linear Algebra Basics, Principal Component Analysis, Linear Discriminant Analysis

Module 8: Support Vector Machines

Support Vector Machines, Soft margin classifier, Solutions to SVM

LecturesModule 7: Lec 1-3 + Module 8: Lec 1-3

TestSep 6

WeekWeek # 32

StartSep 7

Concept

Subject Backlog & Revision

Lectures-

TestSep 12

DBMS & Warehousing

7 items

Week

Date

Concept

Lectures

Test Date

Status

Week-

Start

Concept

Introduction & Outline

Lectures-

TestSep 13

WeekWeek # 33

StartSep 14

Concept

Module 1: ER Model

ER Model, Attributes, Relationships, Weak & Strong Entities, ER Diagrams,

Module 2: RDBMS

Relational Model, Tuples, Constraints: Domain, Key, Entity, Integrity Constraints, Keys and Super Keys

Module 3: Conversion of ER to RDBMS

Conversion of ER model to Relational model

LecturesModule 1: Lec 1-11 Module 2: Lec 1-11 Module 3: Lec 1-15

TestSep 20

WeekWeek # 34

StartSep 21

Concept

Module 4: Normalization

Normalization: Functional Dependencies, Candidate Keys, Super Keys, Minimal Cover, Lossless decomposition, FD preserving, Decomposition, 1NF, 2NF, 3NF, BCNF

Module 5: Relational Algebra

Introduction, Selection, Projection, Rename, Set, Join & Division operations, Extended Relational operations, Relational Calculus, TRC

LecturesModule 4: Lec 1-81 Module 5: Lec 1-55

TestSep 27

WeekWeek # 35

StartSep 28

Concept

Module 6: SQL

Introduction, CRUD Operations, Views, ALTER Command, Arithmetic Operations, Aggregate Functions, Joins

Module 7: File Organization & Indexing

File Organization, Records, Indexing: Primary, Secondary, Clustering Index, B Trees, B+ Trees

LecturesModule 6: Lec 1-53 Module 7: Lec 1-41

TestOct 4

WeekWeek # 36

StartOct 5

Concept

Module 8: Data Mining

Data types, Similarity Measures, Data Preprocessing, Data Transformations: Normalization, Discretization, Lossless Compression, Lossy Compression, Sampling

LecturesModule 8: Lec 1-10

TestOct 11

WeekWeek # 37

StartOct 12

Concept

Module 9: Data Warehousing

Data Warehouse Architecture, Data Marts & Data Lakes, Data Warehouse Modelling, Data Cube, Schemas: Multidimensional Data Models, Concept Hierarchies, Measure Categorization, OLAP Operations, OLAP indexing, Data Cube Storage

LecturesModule 9: Lec 1-7

TestOct 18

WeekWeek # 38

StartOct 19

Concept

Subject Backlog & Revision

Lectures-

TestOct 24

Aptitude

5 items

Week

Date

Concept

Lectures

Test Date

Status

Week-

Start

Concept

Introduction & Outline

Lectures-

TestOct 25

WeekWeek # 39

StartOct 26

Concept

Verbal Aptitude: Basic English grammar: tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech, Basic vocabulary: words, idioms, and phrases in context, Reading and comprehension, Narrative sequencing, Simple Interest, Compound Interest , Alligation and Mixture, Partnership, Time and Work)

Lectures

TestNov 1

WeekWeek # 40

StartNov 2

Concept

Quantitative Aptitude: Data interpretation: data graphs (bar graphs, pie charts, and other graphs representing data), 2- and 3-dimensional plots, maps, and tables, Numerical computation and estimation: ratios, percentages, powers, exponents and logarithms, permutations and combinations, and series, Mensuration and geometry, Elementary statistics and probability

Analytical Aptitude: Logic: deduction and induction, Analogy, Numerical relations and reasoning

Lectures

TestNov 8

WeekWeek # 41

StartNov 9

Concept

Spatial Aptitude: Transformation of shapes: translation, rotation, scaling, mirroring, assembling, and grouping, Paper folding, cutting, and patterns in 2 and 3 dimensions

General Aptitude: Miscallenous Concepts

Lectures

TestNov 15

WeekWeek # 42

StartNov 16

Concept

Subject Backlog & Revision

Lectures-

TestNov 22

Multi Subject Tests

7 items

Week

Test Name

Test Date

WeekWeek # 43

Test

DateNov 29

WeekWeek # 44

Test

DateDec 6

WeekWeek # 45

Test

DateDec 13

WeekWeek # 46

Test

DateDec 20

WeekWeek # 47

Test

DateDec 27

WeekWeek # 48

Test

DateJan 3

WeekWeek # 49

Test

DateJan 10

Full Syllabus Tests

4 items

Week

Test Name

Test Date

WeekWeek # 50

Test

DateJan 12

WeekWeek # 51

Test

DateJan 19

WeekWeek # 52

Test

DateJan 26

WeekWeek # 53

Test

DateFeb 2