RBR-DA
Learn GATE DA 2026 Recorded Weekly Live 1 Year with comprehensive video tutorials and hands-on projects.
Meet Your Instructor: Ravindrababu-Ravula
Ravindrababu Ravula, affectionately known as RBR Sir, is a distinguished computer science educator with over 15 years of experience in teaching and mentoring students. With a prestigious Master's degree in Computer Science from the Indian Institute of Science (IISc) Bangalore, RBR Sir brings academic excellence and industry insights to his teaching. As the founder of RAUDRA Eduservices, he has helped countless students excel in DSA, GATE preparation, web development, data science, and study abroad consulting. His comprehensive approach combines strong fundamentals, problem-solving strategies, and real-world applications, making him one of the most respected educators in the Indian computer science community.
Computer ScienceData Structures and Algorithms (DSA)GATE CS & DA preparation
Experience: 15+ years
Students Helped: 100,000
Specialization: GATE & DSA for Computer Science
Course Overview
This comprehensive course is designed to take you from foundational concepts to advanced implementation in gate & dsa for computer science. You'll learn through structured, beginner-friendly lectures, real-world examples, test-series focus, building real-world projects that demonstrate your skills and enhance your portfolio.
Whether you're looking to start a new career in technology or advance your current skills, this course provides the structured learning path and practical experience you need to succeed in today's competitive tech industry.
Course Curriculum
Master the fundamentals and core concepts
Build real-world projects and applications
Understand best practices and industry standards
Develop problem-solving skills
Learn debugging and testing techniques
Course Content
1
GATE DA Orientation Session
2
Course Overview: Probability and Statistics
3
1. Rule of Sum and Product, Factorials
4
2. Permutation & Combination
5
3. Permutation & Combination (with repetition)
6
4. P&C with repetition, Binomial Theorem
7
5. Multinomial Theorem, Practice Questions on P&C
8
6. Principe of Inclusion & Exclusion
9
7. Circular Arrangement, Derangement
10
8. Short Notes & Revision Session
11
Week 1: Practice & Doubt Solving Session
12
1. Elements of Probability, Sample Space & Events
13
2. Conditional Probability, Multiplication Theorem
14
3. Independent Events
15
4. Marginal & Joint Probability
16
5. Total Probability
17
6. Bayes' Theorem
18
7. Short Notes & Revision Session
19
Week 2: Practice & Doubt Solving Session
20
1. Measures of Central Tendency: Mean
21
2. Measures of Central Tendency: Median, Mode
22
3. Measures of Shape: Skewness, Kurtosis
23
4. Measures of Spread: Range, Interquartile Range
24
5. Measures of Spread: Variance & Standard Deviation
25
6. Measures of Association: Covariance & Correlation
26
7. Short Notes & Revision Session
27
Week 2: Practice & Doubt Solving Session
28
1. Probability Mass & Cumulative Distribution Function
29
2. Expectation of DRV, Linearity of Expectation
30
3. Problems on Expectation of DRV
31
4. Conditional Distributions, Conditional Expectation
32
5. Expectation of Function of Random Variable
33
6. Variance of Discrete Random Variables
34
7. Conditional Variance & Covariance
35
8. Discrete Uniform & Bernoulli Random Variable
36
9. Binomial Random Variable
37
10. Poisson Random Variable
38
11. Geometric & Negative Binomial Random Variable
39
12. Hypergeometric Random Variable
40
13. Sums of Independent Discrete Random Variables
41
14. Short Notes & Revision Session
42
Week 3: Practice & Doubt Solving Session
43
1. Basics of Integration
44
2. Probability Density & Cumulative Distribution Function
45
3. Joint Distributions, Joint PDF, Marginal PDF
46
4. Independent Random Variables, Conditional Distributions
47
5. Distribution of Function of a Random Variable
48
6. Expectation of CRV, Linearity of Expectation
49
7. Conditional Expectation
50
8. Variance, Conditional Variance, Covariance
51
9. Uniform Random Variable - Part I
52
10. Uniform Random Variable - Part II
53
11. Exponential Random Variable
54
12. Normal and Standard Normal Random Variable
55
13. Gamma, Chi-Squared and t-Distribution
56
14. Short Notes & Revision Session
57
Week 4: Practice & Doubt Solving Session
58
1. Markov's and Chebyshev's Inequality
59
2. The Central Limit Theorem - Part I
60
3. The Central Limit Theorem - Part II
61
4. Distribution of Sample Variance
62
5. Point Estimation
63
6. Confidence Intervals - Part I
64
7. Confidence Intervals - Part II
65
8. Confidence Intervals for Normal Samples
66
9. Advanced Confidence Intervals
67
10. Hypothesis Testing: z-test
68
11. Hypothesis testing: One sided z-test
69
12. Hypothesis Testing: t-test
70
13. Hypothesis Testing: Tests on two normal populations
71
14. Hypothesis Testing: chi square-test
72
15. Short Notes & Revision Session
73
Week 5: Practice & Doubt solving session
74
Course overview
75
1: Introduction to Functions
76
2: Classes/Types of Functions
77
3: Trigonometric Functions
78
4: Inverse Functions
79
5: Exponential & Logarithmic Functions
80
6: Practice Problems and PYQ's
81
Week 1: Practice &Doubt solving session
82
Week 1: Practice & Doubt solving session
83
1: Limits - I
84
2: Limits - II
85
3: Limit Laws and Properties
86
1: Continuity
87
2: Derivaties-1
88
3: Derivaties-2
89
4: L’Hôpital’s Rule
90
5: Practice Session 1
91
6. Practice Session 2
92
Week 2: Practice & Doubt solving session
93
1: Power Series & Functions
94
2: Taylor Series
95
3. Practice Session-1
96
4. Practice Session-2
97
1: Maxima & Minima - I (Extrema & Critical Points)
98
2: Maxima & Minima - II (Rolle's Theorem & MVT)
99
3: Maxima & Minima - III (First & Second Derivative Tests)
100
1. Algebra of Vectors
101
2. Vector Algebra contd...
102
3. Span, Vector Space, Matrices
103
4. Subspace, Types of Matrices
104
5. Revisions & Matrix Multiplication
105
1. Solutions to AX = b
106
2. Solutions to AX = b (Cont...)
107
3. Gaussian Elimination
108
4. Gaussian Elimination Contd.
109
5. Problem solving session
110
1. Rank-Nullity Thm. and Column space, Null Space
111
2. Row space, Left Null Space. Row reduced Echelon form
112
1. Elimination matrix
113
2. LU Decomposistion
114
3. Problem Solving
115
1. Linear Transformation
116
2. Change of basis using transformation
117
3. Basis change and projection
118
4. Projection and Problem Solving
119
1. Determinants Properties and Formula
120
2. Determinant contd., matrix inverse and Cramer's rule
121
1. Introduction to Eigen space
122
2. Lec-2
123
3. Lec-3
124
4. positive definite and diagonalization
125
5. Diagonalization contd. And SVD
126
6. Diagonalization contd. And SVD (Cont...)
127
7. Singular Value Decomposition
128
8. SVD and it's use cases
129
9. Lec-9
130
1. Introduction to Python & Setup
131
2. Compiled & Interpreted Languages
132
3. Tokens in Python
133
4. Operators in Python
134
5. Data Types & Expressions
135
6. Input & Output in Python
136
7. Variables & Memory Management
137
8. Operator Precedence
138
9. Practice Questions on Python Basics
139
1. Control Flow: Conditional Statements
140
2. Control Flow: Loops
141
3. Strings in Python
142
4. Lists in Python
143
5. Tuples in Python
144
6. Sets in Python
145
7. Dictionary in Python
146
8. Practice Questions on Data Types & Control Statements
147
1. Asymptotic notations Part-1
148
2. Asymptotic notations Part-2
149
3. Analysing iterative and recursive programs
150
4. Recurrence Relations Part-1
151
5. Recurrence Relations Part-2
152
6. Recurrence Relations Part-3
153
7. Masters Theorem
154
1. Arrays
155
2. Linked List Part-1
156
3. Linked List Part-2
157
4. Sorting Algorithms - Part I
158
5. Sorting Algorithms - Part II
159
1. Divide and Conquer
160
2. Merge Sort
161
3. Quick Sort
162
1. Part-1
163
2. Part-2
164
3. Part-3
165
1. Part-1
166
2. Part-2
167
3. Part-3
168
4. Introduction to AVL trees and balancing
169
5. Constructing AVL trees and time complexity analysis
170
6. Construction of AVL tree
171
7. Minimum and maximum nodes in an AVL tree of height h
172
1. Part-1
173
2. Part-2 & Hashing
174
1. Part-2
175
1. Part-1
176
2. Part-2
177
3. Part-3
178
1. Introduction to Dynamic Programming
179
2. LCS Problem
180
3. Edit Distance, LIS, Palindrome Partitioning Problem
181
4. 0/1 Knapsack, Subset Sum Problem
182
5. Coin Change Problem, Matrix Chain Multiplication
183
6. Multi-Stage Graph, APSP, Traveling Salesman problem
184
1. Lec-1
185
2. Lecture-2
186
3. Lec-3
187
4. Lec-4
188
5. Lec-5
189
6. Lec-6
190
7. Lec-7
191
09. Lec-09
192
10. Lec-10
193
1. Introduction to C programming
194
2. Input/Output, Variables in C
195
3. Data Types in C
196
4. Type Casting, Keywords, Identifiers, Literals
197
5. Operators in C
198
6. Operator Precedence, Constants, Tokens, Errors
199
7. Control Structures in C
200
8. Pointers in C
201
9. Arrays & Multi-Dimensional Arrays
202
10. Functions in C
203
11. Arrays and Functions, Function Pointers
204
12. Complex Pointer declarations, Memory layout of C programs
205
13. Recursion in C
206
14. Dynamic Memory Allocation in C
207
15. Structure, Union, typedef in C
208
16. Strings, Math functions, Dangling Pointer, File Handling
209
17. Practice Session - I (Basics of C)
210
18. Practice Session - II
211
19. Practice Session - III (Gate PYQs)
212
20. Practice Session - IV (GATE PYQs)
213
01. Origins of C++ & Why C++
214
02. Setting up C++ environment & Hello World Program
215
03. Basic User Input & Output
216
04. Primitive & Derived Data types
217
05. Control Structures
218
06. C++ Tokens & Operators
219
07. Functions
220
08. Recursion
221
09. Pointers, Arrays & References
222
10. Dynamic Memory Allocation & Typecasting
223
11. Remaining Basic Concepts in C++
224
12. 50 Practice Problems in C++
225
13. Object Oriented programming in C++
226
14. Classes, Objects, Methods in C++
227
15. Revision of C++ Basics Part-1 C++
228
16. Revision of C++ Basics Part-2 C++
229
17. Revision of C++ Basics Part-3 C++
230
18. Revision of C++ Basics Part-4
231
19. Revision of C++ Basics Part-5
232
20.Friend Functions, Pointers to Class members
233
21. 10 Practice Problems in Classes & Objects in C++
234
22. Practice Questions on Operators
235
23. Discussion of Practice Test -1
236
24. Discussion of Practice Test -2
237
25. Constructors & Destructors
238
26. 10 Practice Problems in Constructors & Destructors
239
27. Inheritance
240
28. Practice Problems on Inheritance
241
29. Data Hiding, Encapsulation, Polymorphism
242
30. Operator Overloading
243
31. 20 Practice Problems on Overloading
244
32. Virtual Class, Virtual Methods, Abstract Classes
245
33. Practice Problems in Virtual Class and methods
246
34. Discussion of Practice Test 3
247
35. Remaining Topics in OOPs
248
36. 50 Practice Problems in C++ OOPs - Part I
249
37. 50 Practice Problems in C++ OOPs - Part II
250
38. 50 Practice Problems in C++ OOPs - Part III
251
39. 50 Practice Problems in C++ OOPs - Part IV
252
40. 50 Practice Problems in C++ OOPs - Part V
253
41. Templates in C++
254
42. Standard Template Library in C++
255
43. vector in C++ STL
256
44. vector in C++ STL Part - 2
257
45. Demo on vectors and its functions
258
46. Iterators in C++ STL
259
47. Discussion of Practice Test 3 Part II
260
48. Demo on vectors and its functions Part-2
261
49. sort, sort_heap, stable_sort in C++ STL
262
50. binary_search, upper_bound, lower_bound in C++ STL
263
51. count, count_if in C++ STL
264
52. find, find_if, find_end in C++ STL
265
53. unique, unique_copy in C++ STL
266
54. reverse, reverse_copy in C++ STL
267
55. transform, rotate, rotate_copy in C++ STL
268
56. random_sample, random_shuffle in C++ STL
269
57. Lists in C++ STL
270
58. Priority Queues in C++ STL
271
59. Demo on Lists in C++ STL
272
60. Demo on Priority Queues in C++ STL
273
61. for_each in C++ STL
274
62. max, max_element, min, min_element in C++ STL
275
63. adjacent_difference, adjacent_find in C++ STL
276
64. Stack in C++ STL
277
65. Demo on Stack and its functions
278
66. Queue in C++ STL
279
67. Queue in C++ STL Part II
280
68. Demo on Queue and its functions
281
69. Codechef CLCO01 problem discussion (Stack example)
282
70. Codechef Iron, Magnet and Wall problem
283
71. Demo on Priority Queues with CP problem
284
72. Deque in C++ STL
285
73. Demo on Deque and its functions
286
74. Deque Interview and CP problems
287
75. Pair in C++ STL
288
76. Demo of using Pair with Different Containers
289
77. Demo of using pair with different containers Part II
290
78. Sets and Multisets in C++ STL
291
79. Demo on Sets and Multisets in C++ STL
292
80. Unordered sets and multisets in C++ STL
293
81. Demo on Unordered sets and multisets in C++ STL
294
82. Maps and Multimaps in C++ STL
295
83. Demo on Maps and Multimaps in C++ STL
296
Introduction to problem solving in DSA
297
1. Prime Numbers - Part I
298
2. Prime Numbers - Part II
299
3. GCD & LCM - Part I
300
4. GCD & LCM - Part II
301
5. Euler's Totient Function - Part I
302
6. Euler's Totient Function - Part II
303
7. Fast Exponentiation and Modular Arithmetic
304
8. Permutation, Combinations and Modular Arithmetic
305
9. Fast Matrix Exponentiation
306
1. Basics of Array
307
2. Dutch National Flag, Moore's Voting, Kadane's Algorithm
308
3. Basics of Strings and String Hashing
309
4. Polynomial Hashing & Rabin-Karp Algorithm
310
5. KMP Algorithm
311
6. Z algorithm
312
7. Linked List operations
313
8. Binary Search - Part I
314
9. Binary Search - Part II
315
10. Greedy Algorithms - Part I
316
11. Greedy Algorithms - Part II
317
1. Stacks
318
2. Queues
319
3. Heaps
320
4. Priority Queues & Heap Applications
321
1. Trees & Binary Search Trees - Part I
322
2. Trees & Binary Search Trees - Part II
323
3. Graph Representation & Traversal - Part I
324
4. Graph Representation & Traversal - Part II
325
5. Disjoint Sets
326
6. Minimum Spanning Trees
327
7. Topological Sorting
328
8. Shortest Paths
329
1. DP on Arrays & Matrices
330
2. DP on Strings
331
3. DP on Trees & Graphs
332
Course Overview: DBMS & Warehousing
333
1 Introduction to DBMS
334
2 Models in DBMS
335
3 Introduction to ER model
336
4 Attributes
337
5 Relationships (1 to many)
338
6 Relationships (one to one example)
339
7 Relationships (many to many)
340
8 Recursive relationships
341
9 Attributes to relationships
342
10 Weak entity
343
11 ER diagram notations
344
Week 13: Practice & Doubt solving session
345
1 Introduction to relational model
346
2 Terminology of Relational database
347
3 Tuple, tuple values and Null
348
4 Constraints on Relational DB schema - Domain constraints
349
5 Constraints on Relational database schema - Key constraints
350
6 Entity and referential integrity constraints
351
7 Actions upon constraint violations
352
8 Counting the number of SKs possible - Example 1
353
9 Counting the number of SKs possible - Example 2
354
10 Counting the number of SKs possible - Example 3
355
11 Counting the number of SKs possible - Example 4
356
Week 13: Practice & Doubt solving session
357
1 Step 1
358
2 step 2
359
3 step 3
360
4 step 4
361
5 Step 5
362
6 Step 6
363
7 Step 7
364
8 Summary of ER to RDB conversion
365
9 GATE IT 2005 question on ER diagrams
366
10 Gate 12 question on converting ER to RDB
367
11 GATE IT 04 conversion of ER to RDB
368
12 GATE 05 on cascade on delete in case of foreign keys
369
13 GATE 2005 question on converting ER to RDB
370
14 GATE 08 on converting ER to RDB
371
15 GATE 97 question on referential integrity
372
Week 13: Practice & Doubt solving session
373
Week 14: Practice & Doubt solving session
374
01 Introduction to normalisation
375
02 Introduction to FDs
376
03 FD examples
377
04 Gate 2000 question on FDs
378
05 GATE 2002 question on FDs
379
06 Formal definition of FDs
380
07 Various usages of FDs
381
08 Closure set of attributes
382
09 GATE 2006 question on Closure set of attributes
383
10 Determining Candidate keys
384
11 GATE 99 question on Candidate keys
385
12 GATE 2014 question on Candidate keys
386
13 GATE 05 question on Candidate key
387
14 GATE 2013 question on candidate key
388
15 Examples on candidate key - 1
389
16 Examples on candidate key - 2
390
17 Examples on candidate key - 3
391
18 Examples on candidate key - 4
392
19 Examples on candidate key - 5
393
20 Examples on candidate key - 6
394
21 Examples on candidate key - 7
395
22 Candidate key for sub relation - example 1
396
23 Candidate key for sub relation - example 2
397
24 Candidate key for sub relation - example 3
398
25 Checking additional FDs - example 1
399
26 Checking additional FDs - example 2
400
27 GATE IT 05 question on additional FDs
401
28 Equivalence of FDs
402
29 Equivalence of FDs - example 1
403
30 Equivalence of FDs - example 2
404
31 Minimal cover
405
32 Minimal cover example 1
406
33 2013 GATE on minimal cover
407
34 Lossless decomposition
408
35 FD preserving
409
36 Decomposition Example 1
410
37 Decomposition Example 2
411
38 Decomposition Example 3
412
39 Decomposition Example 4
413
40 Decomposition Example 5
414
41 Decomposition Example 6
415
42 First Normal Form
416
43 Second Normal Form Introduction
417
44 2NF Example 1
418
45 2NF Example 2
419
46 2NF Example 3
420
47 Third normal form introduction
421
48 3NF Example 1
422
49 3NF Example 2
423
50 3NF Example 3
424
51 3NF Example 4
425
52 Formal definition of 3NF
426
53 3NF Example 5
427
54 3NF example 6
428
55 BCNF Introduction
429
56 BCNF Example 1
430
57 BCNF Example 2
431
58 BCNF Example 3
432
59 BCNF Example 4
433
60 BCNF Example 5
434
61 BCNF Example 6
435
62 BCNF Example 7
436
63 BCNF Example 8
437
64 Gate Questions on Normalisation 1
438
65 Gate Questions on Normalisation 2
439
66 Gate 94 Question on Normalization
440
67 Gate 95 Question on Normalization
441
68 Gate 97 Question on Normalization
442
69 Gate 98 Question on Normalization
443
70 Gate 99 , 2002 Question on Normalization
444
71 Gate 99 Question on Normalization
445
72 Gate 2001 on Normalization
446
73 Gate 2000 on Normalization
447
74 Gate 2001 on Normalization
448
75 Gate 2002 on Normalization
449
76 Gate 2004 on Normalization
450
77 Gate 2004 Question on Normalization
451
78 Gate 2011 on Normalization
452
79 Gate 2010 on normalization
453
80 gate 2013 on Normalization
454
81 Gate 2014 on Normalization
455
1 Introduction to relational algebra
456
Week 14: Practice & Doubt solving session
457
2 Selection operation
458
3 Projection operation
459
4 Gate 98 question on selection and projection
460
5 GATE 2012 question on Projection
461
6 Rename operation
462
7Set Operations
463
8 Cartesian product
464
9 Join Operation
465
10 Natural Join
466
11 Division operation
467
12 Complete set of RA operations
468
13 Types of join
469
14 Extended relational algebra operations
470
15 Gate 99 on Relation Algebra
471
16 Gate 2000 on Relation Algebra
472
17 gate 2002 on Relation Algebra
473
18 Gate 2004 on Relation Algebra
474
19 Gate 2005 Question on Relation Algebra
475
20 Gate IT 2006 Question on Relation Algebra
476
21 Gate 2007 Question on Relation Algebra
477
22 Gate 2008 on Relational Algebra
478
23 Gate 2012 Question on Relation Algebra
479
24 Gate 2014 Question on Relation Algebra
480
25 Gate 2014 Question on Relation Algebra
481
26 Gate 2015 Question on Relation Algebra
482
27 Introduction to Relation Calculus
483
28 TRC Syntax
484
29 Free and Bounded Variables
485
30 Example 1 on TRC
486
30 Example 1 on TRC
487
31 Example 2 on TRC
488
32 Example 3 on TRC
489
33 Example 4 on TRC
490
34 Example 5 on TRC
491
35 Example 6 on TRC
492
36 Example 7 on TRC
493
37 Example 8 on TRC
494
38 Conversion between quantifiers - 1
495
39 Conversion between quantifiers - 2
496
40 Conversion between quantifiers - 3
497
41 Example 9 on TRC
498
42 Example 10 on TRC
499
43 Example 11 on TRC
500
44 Example 12 on TRC
501
45 Gate question 2007 on relational calculus
502
46 Gate questions 2006,2008 on relational calculus
503
47 Unsafe relational Calculus Expression
504
48 Domain relational calculus introduction
505
49 Example 1 on DRC
506
50 Example 2 on DRC
507
51 Example 3 on DRC
508
52 Example 4 on DRC
509
53 Example 5 on DRC
510
54 Gate 2014 Question on Relational Algebra
511
01 Introduction to SQL
512
Week 15: Practice & Doubt solving session
513
02 Creation of Schema
514
03 Create Table
515
04 Constrains in SQL
516
05 INSERT
517
06 Delete and Update
518
07 Referential triggered actions
519
08 Alter
520
09 SELECT
521
10 View
522
11 Aliasing
523
12 Pattern Matching
524
13 Set operations
525
14 Arthemetic and between operations
526
15 Order by
527
16 Example on Order By
528
17 Dealing with null values - 1
529
18 Dealing with null values - 2
530
19 Dealing with null values - 3
531
20 In operator
532
21 Example 1 on In operator
533
22 Example 2 on In operator
534
23 Any,Some, All
535
24 Exists - not exists
536
25 Example 1 on Exists - non exists
537
26 Example 2 on Exists - non exists
538
27 Aggregate functions
539
28 Dealing wiht null values in aggregate functions
540
29 Group by - 1
541
30 Group by having clause
542
31 Gate - 2012 question on SQL
543
32 With Clause
544
33 Example on with clause
545
34 Joins
546
35 Examples on joins
547
36 Gate 98 question on SQL
548
37 Gate 99 question on SQL
549
38 Gate 2000 question on SQL
550
39 Gate 2003 question on SQL
551
40 GATE 2011 question on SQL
552
41 Gate 2012 question on SQL
553
42 GATE 2014 question on SQL
554
43 GATE 2014 question on SQL
555
44 Gate 2005 question on SQL
556
45 Gate 2003 Question on SQL
557
46 Gate 2004 Queation on SQL
558
47 Gate 2006 Question on SQL
559
48 Gate 2011 question on SQL
560
49 gate 2007 question on SQL
561
50 Gate 2015 question on SQL
562
51 Gate 2014 Question on SQL
563
52 Gate 2016 Question on SQL
564
53 Gate 2016 qustion on SQL
565
01 File organization
566
Week 15: Practice & Doubt solving session
567
02 Organization of records in a file
568
03 Introduction to indexing
569
04 Classification of Indexing
570
05 Primary Index
571
06 Example on Primary index
572
07 Clustering index
573
08 Secondary Index
574
09 Example on secondary index
575
10 Gate question 13,08 on Indexing
576
11 B-Trees-1
577
12 B-Trees-2
578
13 Example 1 on B-trees
579
14 Example 2 on B-Trees
580
15 Example 3 on B-Trees
581
16 Underflow and overflow in b-trees
582
17 B-tree search
583
18 B-Tree searching algorithm
584
19 B-tree insertion algorthim
585
20 example 1 on B-Tree insertion
586
21 example 2 on B-Tree insertion
587
22 Deletion from a B-Tree-1
588
23 deletion from a B-Tree-2
589
24 B+ trees
590
25 Example 1 on B+trees
591
26 Searching B+ Trees alogrthim
592
27 Gate question 2015 on b+Trees
593
28 Gate question IT 2005 on B+Trees
594
29 Gate 2015 question on b+Trees
595
30 Gate 2013 on B+Trees
596
31 Gate 2016 on B+ Tree
597
32 Gate 2010 on B+Trees
598
33 Gate 2007 on B+Trees
599
34 Gate question 2008 on B-Tree
600
35 B+ Tree Insertion
601
36 Example on B+Tree Insertion
602
37 Difference between B-B+ Tree and Binary search
603
38 B+ Tree Deletion
604
39 Example 1 on B+ Tree deletion
605
40 Example 2 on b+Tree Deletion
606
41 Example 3 on B+tree deletion
607
1. Introduction to Data Mining
608
2. Data types
609
3. Data types - II
610
4. Similarity Measures & Data Preprocessing
611
5. Data Transformations - Part I (Normalization)
612
6. Data Transformations - Part II (Discretization)
613
7. Data Transformations - Part III (Compression: Lossless)
614
8. Data Transformations - Part IV (Compression: LZW coding)
615
9. Data Transformations - Part V (Compression: Lossey)
616
10. Data Transformations - Part VI (Sampling)
617
Week 16: Practice & Doubt Solving Session
618
11. Introduction to Data Warehousing
619
12. Data Warehouse Architecture, Data Marts & Data Lakes
620
13. Data Warehouse Modelling, Data Cube
621
14. Schemas: Multidimensional Data Models
622
15. Concept Hierarchies, Measure Categorization
623
16. OLAP Operations
624
17. OLAP indexing, Data Cube Storage (Misc.)
625
Week 17: Practice & Doubt Solving session
626
01 Transaction
627
02 ACID Properties
628
03 Lost update and dirty read problem
629
04 Unrepeatable read and phantom problem
630
05 Incorrect summary problem
631
06 Number of Schedules
632
07 Types of schedules serial schedule
633
08 Complete schedule recoverable schedule
634
09 Cascading aborts cascade less schedule
635
10 Strict Schedule
636
11 Serializability
637
12 Conflict equivalent schedules
638
13 Example 1 on Conflict equivalent schedule
639
14 Example 2 on conflict equivalent schedule
640
15 Gate 2012 question
641
16 Gate 2014 question on conflict serializable schedule
642
17 Gate 14 question on conflict serializable schedule
643
18 Gate 2014 question conflict serializable schedule
644
19 Gate question on conflict serializable schedule
645
20 Gate 2016 question on conflict serializable schedule
646
21 Gate 16 question on conflict serializable schedule
647
22 Gate 2015,16 Question on conflict serializability
648
23 View serializability
649
24 Comparison between conflict and view serializability
650
25 Example 1,2,3 on view serializability
651
26 polygraph example on view serializability
652
27 Example 4,5 on view serializability
653
28 Concurrency control protocds
654
29 Locks
655
30 2-phase locking protocol
656
31 Strict , Rigorous, Conservative
657
32 Example on strict 2pc
658
33 Graph based protocol
659
34 Time stamp ordering protocol
660
35 Thomas write rule
661
01. Introduction
662
02. Types of Keys
663
03. Types of Keys Part-2
664
01. Introduction
665
02. Normalisation Part-1
666
03. Noraml Forms in DBMS
667
04. Normalisation Part-3
668
01. Relational Algebra Part-1
669
02. Relational Algebra Part-2
670
03. Relational Algebra Part-3
671
04. Relational Algebra Part-4
672
05. Relational Algebra Part-5
673
01. SQL Part-1
674
02. SQL Part-2
675
03. SQL Part-3
676
04. SQL Part-4
677
1. ER Model Part-1
678
1. File organization and Indexing Part-1
679
2. Part-2
680
3. Part-3
681
4. Part-4 & Transaction and concurrency control Part-1
682
1. Part-2
683
2. Part-3
684
3. Part-4
685
4. Part-5
686
5. Part-6
687
6. Part-7
688
7. Part-8
689
Introduction to Machine Learning
690
1. Simple Linear Regression: Least Squares Method
691
2. Gradient Descent for SLR, Error Metrics for Regression
692
3. Statistical Inference on SLR parameters, Assumptions in SLR
693
4. Multiple Linear Regression: Least Squares Method
694
5. Gradient Descent for MLR, Polynomial Regression
695
6. Regularization, Lasso & Ridge Regression
696
1. Introduction to Classification
697
2. Error Metrics in Classification - Part I
698
3. Error Metrics in Classification - Part II
699
4. k-Nearest Neighbors Algorithm - Part I
700
5. k-Nearest Neighbors Algorithm - Part II
701
6. Naive Bayes Classifier - Part I
702
7. Naive Bayes Classifier - Part II
703
8. Logistic Regression - Part I
704
9. Logistic Regression - Part II
705
1. Splitting Criteria: Gini Index, Information Gain
706
2. Constructing Decision Trees
707
3. Pruning Decision Trees
708
4. Bagging & Random Forests
709
5. Boosting
710
1. Introduction to Clustering, K-Means Clustering
711
2. K-Medoid Clustering
712
3. Hierarchical clustering: Distance Metrics & Linkage Criteria
713
4. Agglomerative (Bottom-Up) Hierarchical Clustering
714
5. Divisive (Top-Down) Hierarchical Clustering
715
6. Evaluation of Clustering Algorithms - Part I
716
7. Evaluation of Clustering Algorithms - Part II
717
8. Evaluation of Clustering Algorithms - Part III
718
1. Introduction, Bias-Variance Trade-off
719
2. Holdout Validation, Leave-One-Out Cross Validation
720
3. k-Folds, Stratified k-Folds Cross-Validation
721
4. Model Selection, Nested Cross-Validation
722
1. Introduction to Artificial Neural Networks
723
2. Activation Functions
724
3. Loss Functions
725
4. Feed-Forward Neural Networks & Multi-Layer Perceptron
726
5. Backpropagation Algorithm - Part I
727
6. Backpropagation Algorithm - Part II
728
Linear Discriminant Analysis
729
1. Revision of LA
730
2. Lec-2
731
3. Lec-3
732
4. PCA interpretation 2
733
5. PCA code and Linear Discriminant Analysis
734
6. Discussions on PCA and LDA
735
1. Support vector classifier
736
2. Soft margin classifier
737
3. Solutions to SVM
738
Introduction to AI
739
Course Overview: Artificial Intelligence
740
1. Introduction to Search
741
2. BFS
742
3. DFS
743
4. Depth limited, Iterative Deepening
744
5. Uniform Cost Search
745
6. Bidirectional Search
746
Week 1: Practice & Doubt Solving Session - I
747
1. Best First, Greedy Best-First Search
748
2. A* Search - I
749
3. A* Search - II
750
4. A* Search - III (Iterative Deepening A*, Weighted A*)
751
5. AND/OR Graph, AO* Search
752
Week 2: Practice & Doubt solving session
753
1. Hill Climb Search
754
2. Simulated Annealing
755
3. Genetic Algorithms - I
756
4. Genetic Algorithms - II
757
1. Introduction to Game Theory
758
2. Minimax Search - I
759
3. Minimax Search - II
760
4. Alpha Beta Pruning - I
761
5. Alpha Beta Pruning - II
762
6. Alpha Beta Pruning - III
763
7. Heuristic Alpha Beta Tree Search
764
8. Monte Carlo Tree Search - I
765
9. Monte Carlo Tree Search - II
766
Week 3: Practice & Doubt solving session
767
1. Introduction to Logic
768
2. Logical Equivalence - I
769
3. Logical Equivalence - II
770
4. Inference - I
771
5. Inference - II
772
6. Practice Session
773
Introduction to Predicate Logic
774
Inference & Translations
775
Week 4: Practice & Doubt solving session
776
1. Introduction to Uncertainty
777
2. Bayes Nets - Introduction
778
3. Conditional Independence & d-Separation
779
4. Inference
780
5. Variable Elimination Algorithm - I
781
6. Variable Elimination Algorithm - II
782
7. Approximate Inference
783
9. MCMC, Gibbs Sampling
784
1 Example 1 in Ages
785
2 Example 2 on Ages
786
3 Example 3 on Ages
787
4 Example 4 on Ages
788
5 Example 5 on Ages
789
6 Example 6 on Ages
790
7 Example 7 on Ages
791
8 Example 8 on Ages
792
9 Example 9 on Ages
793
10 Example 10 on Ages
794
11 Example 11 on Ages
795
12 Example 12 on Ages
796
01 Introduction to Alligation and Mixtures
797
02 Example 1 on Alligation and Mixtures
798
03 Example 2 on Alligation and Mixtures
799
04 Example 3 on Alligation and Mixtures
800
05 Example 4 on Alligation and Mixtures
801
06 Example 5 on Alligation and Mixtures
802
07 Example 6 on Alligation and Mixtures
803
08 Example 7 on Alligation and Mixtures
804
10 Example 9 on Alligation and Mixtures
805
11 Example 10 on Alligation and Mixtures
806
12 Example 11 on Alligation and Mixtures
807
13 Example 12 on Alligation and Mixtures
808
14 Example 13 on Alligation and Mixtures
809
15 Example 14 on Alligation and Mixtures
810
16 Example 15 on Alligation and Mixtures
811
17 Example 16 on Alligation and Mixtures
812
9 Example 8 on Alligation and Mixtures
813
01 Example -1 on alphabet test
814
02 Example 2 on alphabet test
815
03 Example 3 on alphabet test
816
04 Example 4 on alphabet test
817
05 Example 5 on alphabet test
818
06 Example 6 on alphabet test
819
07 Example 7 on alphabet test
820
08 Example 8 on alphabet test
821
09 Example 9 on alphabet test
822
10 Example 10 on alphabet test
823
11 Example 11 on alphabet test
824
12 Example 12 on alphabet test
825
13 Example 13 on alphabet test
826
14 Example 14 on alphabet test
827
15 Example 15 on alphabet test
828
1 Introduction to alphabet series and Example 1
829
2 Example 2 on alphabet series
830
3 Example 3 on alphabet series
831
4 Gate 2012 question on alphabet series
832
5 Gate 2014 on alphabet series
833
6 Gate 2016 question on alphabet series
834
1 Introduction to Averages
835
2 Properties on Averages
836
3 Properties 2 to Averages
837
4 Example 1 on Averages
838
5 Example 2 on Averages
839
6 Example 3 on Averages
840
7 Example 4 on averages
841
8 Example 5 on Averages
842
9 Example 6 on Averages
843
1 Introduction to blood relations
844
2 Generations
845
3 Example 1 on Blood Relation
846
4 Example 2 on Blood Relation
847
5 Example 3 on Blood Relation
848
6 Example 4 on Blood Relation
849
7 example 5 on blood relation
850
8 example 6 on blood relation
851
9 example 7 on blood relation
852
1 Introduction coded inequalities
853
2 Example 1 on coded inequalities
854
3 Example 2 on coded ineualities
855
4 Example 3 on coded inequalities
856
1 Introduction to Compound Interest
857
2 Compound Interest Formula
858
3 Example 1 on Compound Interest
859
4 Example 2 on Compound Interest
860
5 Example 3 on Compound Interest
861
6 Example 4 on Compound Interest
862
7 Example 5 on Compound Interest
863
8 Example 6 on Compound Interest
864
01 Introduction to Data Sufficiency
865
02 Example 1 on Data Suffiecient
866
03 Example 2 on Data Suffiecient
867
04 Example 3 on Data Suffiecient
868
05 Example 4 on Data Suffiecient
869
06 Example 5 on Data Suffiecient
870
07 Example 6 on Data Suffiecient
871
08 Example 7 on Data Suffiecient
872
09 Example 8 on Data Suffiecient
873
10 Example 9 on Data Suffiecient
874
11 Example 10 on Data Sufficiency
875
12 Example 11 on Data Sufficiency
876
13 Example 12 on Data Sufficiency
877
14 Example 13 on data sufficiency
878
1 Introduction to Data Interpretation
879
2 Example 1 on pie-chart
880
3 Example 2 on Pie Chart
881
4 Example 3 on Pie Chart
882
5 Example 1 on Bar chart
883
1 Introduction to directions and distance
884
2 Example 1 on directions and distance
885
3 Example 2 on directions and distance
886
4 Example 3 on directions and distance
887
5 Example 4 on directions and distance
888
6 Example 5 on directions and distance
889
7 Example 6 on directions and distance
890
1 Example 1 on element series
891
2 Example 2 on element series
892
3 Example 3 on element series
893
4 Example 4 on element series
894
1 Introduction to Quadraitc Equation
895
2 Example 1 on Quadratic Equations
896
3 Example 2 on Quadratic Eqations
897
4 Example 3 on Quadratic Equations
898
5 Example 4 on Quadratic Equations
899
6 Example 5 on Quadratic Equations
900
7 Example 6 on Quadratic Equations
901
8 Introduction to linear Equations
902
9 Example 1 on Linear Equations
903
10 Example 2 on Linear Algebra
904
1 Introduction to LCM and HCF
905
2 Introduction to HCF
906
3 Example 1 on HCF and LCM
907
4 Example 2 on HCF and LCM
908
5 Example 3 on HCF and LCM
909
6 Example 4 on HCF and LCM
910
7 Example 5 on LCF and HCF
911
8 Example 6 on HCF and LCM
912
9 Example 7 on HCF and LCM
913
10 Example 8 on HCF and LCM
914
11 Example 9 on HCF & LCM
915
12 Example 10 on HCF & LCM
916
13 Example 11 on HCF & LCM
917
14 Example 12 on HCF & LCM
918
1 Introduction to Logorthims
919
2 Example 1 on Logorthims
920
3 Example 2 on logorthims
921
4 gate 2011 on logorthims
922
5 gate 2015 on logorthims
923
01 Introduction to Mensuration
924
02 Example 1 on Mensuration
925
03 Example 2 on Mensuration
926
04 Example 3 on Mensuration
927
05 Example 4 on Mensuration
928
06 Quadrilateral
929
07 Example 5 on Mensuration
930
08 Example 6 on Mensuration
931
09 Example 7 on Mensuration
932
10 Example 8 on Mensuration
933
11 Example 9 on Mensuration
934
12 Example 10 on Mensuration
935
13 Example 11 on Mensuration
936
14 Example 12 on Mensuration
937
15 Example 13 on Mensuration
938
16 Example 14 on Mensuration
939
17 Example 15 on Mensuration
940
18 Example 16 on Mensuration
941
19 Example 17 on mensuration
942
20 Example 18 on Mensuration
943
21 Example 19 on Mensuration
944
22 Example 20 on Mensuration
945
23 Example 21 on Mensuration
946
24 Example 22 on Mensuration
947
25 Example 23 on Mensuration
948
26 cubes and cuboids
949
27 Example 24 on Mensuration
950
28 Example 25 on Mensuration
951
29 Example 26 on Mensuration
952
30 Example 27 on Mensuration
953
31 Example 28 on Mensuration
954
32 Example 29 on Mensuration
955
1 Introduction to number series and some example
956
2 Example 1 on Number series
957
3 Example 2 on Number series
958
4 Example 3 on Number series
959
5 Example 4 on Number series
960
6 combination two series
961
7 find the wrong term in the given series
962
8 miscellaneous series example 1
963
9 miscellaneous series example 2
964
10 series in A,P,G,P and H,P
965
11 Triangular pattern series
966
12 gate EC-2014 on number series
967
13 gate EC-2014 question on number series 2
968
14 gate 2014 on number series
969
01 Classification of numbers
970
02 Types of numbers
971
03 More types on numbers
972
04 Rules of divisibility
973
05 Rules of divisibility - 2
974
06 test of divisibility
975
07 test of divisibility-2
976
08 Remainder and Quotient
977
09 Remainder Theorem
978
10 Find the remainder using polynomial theorem
979
11 Example 1 on number system
980
12 Algebra formulas
981
13 cyclicity
982
14 Cyclicity of 3,4,5,6
983
15 Cyclicity of 7,8,9
984
16 Count trailing zeros in factorial of a number
985
17 Example on count trailing zeros in factorial of a number
986
18 Example on power of x in n!
987
19 Finding the number of factors
988
20 Introduction to Number system
989
21 Conversion to base 10
990
22 Conversion from base 10
991
23 Gate CS 2010on number system
992
24 Gate 2014 on number system
993
1 Introduction to Partnership
994
2 Example 1 on Partnership
995
3 Example 2 on Partnership
996
4 Example 3 on Partnership
997
5 Example 4 on Partnership
998
6 Example 5 on Partnership
999
7 Example 6 on Partnership
1000
8 Example 7 on Partnership
1001
9 Example 8 on Partnership
1002
10 Example 9 on Partnership
1003
11 Example 10 on Partnership
1004
01 Introduction to permutations and combinations
1005
02 Properties of nCr - 1
1006
03 Properties of nCr - 2
1007
04 Properties of nCr -3
1008
05 Properties of nCr -4
1009
06 Example 1 on nCr
1010
07 Example 2 on nCr
1011
08 Example 3 on nCr
1012
09 Example 4 on nCr
1013
10 Fundamental rules of counting
1014
11 Row arrangements without repetitions
1015
12 Examples on row arrangements without repetitions
1016
13 Row arrangements with repetitions
1017
14 Examples on Row arrangements with repetitions - 1
1018
15 Examples on Row arrangements with repetitions - 2
1019
16 Examples on Row arrangements with repetitions - 3
1020
17 Examples on Row arrangements with repetitions - 4
1021
18 Examples on Row arrangements with repetitions - 5
1022
19 Examples on Row arrangements with repetitions - 6
1023
20 Examples on Row arrangements with repetitions - 7
1024
21 Rank in a dictionary
1025
22 Rank in a dictionary - 2
1026
23 Circular permutations without repetitions
1027
24 Circular permutations with repetitions
1028
25 Examples on circular permutations - 1
1029
26 Examples on circular permutations - 2
1030
27 Examples on garland model questions
1031
28 Introduction to combinations
1032
29 Examples on combinations - 1
1033
30 Examples on combinations - 2
1034
31 Examples on combinations - 3
1035
32 Examples on combinations - 4
1036
33 Repetition in combinations
1037
34 Order
1038
35 Examples on order
1039
36 Examples on order - 2
1040
37 Selections with repetitions
1041
38 Examples in sections with repetitions - 1
1042
39 Examples in sections with repetitions - 2
1043
40 Relation between nPr and nCr
1044
41 Selections and Arrangements - 1
1045
42 Selections and Arrangements - 2
1046
1 Introduction to Profit and Loss
1047
2 Example 1 on Profit and Loss
1048
3 Example 2 on Profit and Loss
1049
4 Example 3 on Profit and Loss
1050
5 Example 4 on Profit and Loss
1051
6 Example 5 on Profit and Loss
1052
7 Example 6 on Profit and Loss
1053
8 Example 7 on Profit and Loss
1054
9 Example 8 on Profit and Loss
1055
10 Example 9 on Profit and Loss
1056
11 Example 10 on Profit and Loss
1057
12 Example 11 on Profit and Loss
Requirements
- Basic computer knowledge
- Internet connection for video streaming
- Code editor (VS Code recommended)
- Motivation to learn and practice
Course Features
Lifetime Access
Certificate of Completion
Mobile and Desktop Access
Downloadable Resources
Community Support
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View Course4.6 (264 reviews)
Course Details
Duration11h 18m
LevelBeginner
LanguageHinglish
Students1,043
Updated2025-10-20
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