Example Image with Text
Use this Image with Text block to balance out your text content with a complementary visual to strengthen messaging and help your students connect with your product, course, or coaching. You can introduce yourself with a profile picture and author bio, showcase a student testimonial with their smiling face, or highlight an experience with a screenshot.
Example Text
Use this Text block to tell your course or coaching’s story.
Write anything from one-liners to detailed paragraphs that tell your visitors more about what you’re selling.
This block - along with other blocks that contain text content - supports various text formatting such as header sizes, font styles, alignment, ordered and unordered lists, hyperlinks and colors.
Example Title
Use this block to showcase testimonials, features, categories, or more. Each column has its own individual text field. You can also leave the text blank to have it display nothing and just showcase an image.
Example Title
Use this block to showcase testimonials, features, categories, or more. Each column has its own individual text field. You can also leave the text blank to have it display nothing and just showcase an image.
Example Title
Use this block to showcase testimonials, features, categories, or more. Each column has its own individual text field. You can also leave the text blank to have it display nothing and just showcase an image.
Example Curriculum
Data Structures & Algorithms training By the world Record Holder Mr. Vimal Daga
Available in
days
days
after you enroll
- 1.Problem-Solving Approaches | Concepts Of Algorithms | Pseudo Code | Need Of Programming Languages | Program Code & Statement | Algo-Thinking Phenomenon | Primary Goal-Solve & Approach | Constraints(Optimal-Time) | Searching Problem Concepts | Program File | Importance Of RAM & CPU (100:49)
- Summary - Session-1
- 2.Process & Execute | Use Of RAM & CPU | Compute Devices | OOM Error Concepts | Space Complexity | Frequency Concept | Clock Speed Of CPU | Moore's Law Concept | Time Complexity | Optimization Concept | Computational Complexity | Instructions /Statements | Loop Concept | Pseudo Code (115:10)
- Summary - Session-2
- 3.Time & Space Complexity | Asymptotic Analysis | Big-O Notation | For Loop() | Constant Time | O(1) & O(n)Algorithm Concepts | Algorithmic Analysis Thinking | O(n) Linear Time | Functions (101:44)
- Summary - Session-3
- 4. recursion function | discrete numbers | types of complexity | if else condition | types of loops | for loop | while loop | Bottom top up concept | universe patterns | depth exceeded concept | recursion error | design algorithm (115:37)
- Summary - Session-4
- 5. Loops- Iteration & Recursion | Recursion-Func() Loop | Recursion Concept | Direct & Indirect Recursion | Base/Stop Cases | Tail & Non-Tail Recursion | Precedence/Order Concept | Stack Frames / Activation Records | LIFO Mechanism | Stack Function | Limitations Of Stack Memory (120:29)
- Summary - Session 5
- 5.1 Revision session (60:40)
- 6. Concept Of Optimized Algorithm | Stack Memory & Computational Complexity | BigO Importance Recursion Relation | Difference b/w Recursion & Iteration | Problem Statment & Possible Solutions | Factorial With Eg. | Tail & Non-Tail Recursion | Stack Frames | Linear Time | (91:55)
- Summary - Session 6
- 7. TCO | space complexity | time complexity | stack overflow | iteration | recursion | devlopment time | compiler | source code | compile time | executable code | interpreter language | tail recursion | tail call optimization | Depth recursion error | tail_recursion module (91:21)
- Summary - Session 7
- 7.1 Revision session (78:15)
- 8. Prediction of Pattern in Series | Fibonacci Series | Recursion Relation | Practical Of Fibonacci Series | Base & Stop Case | ProcessEXP Program | Recursion-Tree | activation record | recursion call | stack frame | space complexity | time complexity | febbonocci series | (106:25)
- Summary - Session 8
- 9. Big-O Notation | Time Complexity | P & NP Class Problem | O(N) & O(2^N) | Difference B/w Recursion & Iteration | Convert NP Into P problem | Fibonacci Series | Solved Space & Time Complexity | Fibonacci Series (64:58)
- Summary - Session 9
- 10. TCO | Loop-iteration & for | Time & Space Complexity of Different Alg. | Big-O(1) Concept | Tail Recursion | Performance Tuning | Sum of N natural No. Problem | Right way to Use Programming languages | Syntax Of C/C++ & Python (64:17)
- Summary - Session 10
- 11. Searching Algorithms | Variables | Time Complexity | Linear Search Algorithm | Array- Data Items | For Loop | Hash Tables Introduction | Best & Worst Case Scenario | Constant Time Complexity | Multi- Occurrence (94:11)
- Summary - Session 11
- 12. Linear Search | Binary Search Algorithm | Best & Worst Case Scenario | Searching By Half | Difference B/w Binary & Linear Search | log Concept | Sorted & Unsorted Data | Sorting Algorithm | Binary Search In Python (107:30)
- Summay - Session 12
- 13. Data Manipulation Concepts | Sorting Algorithms Eg-Quick, Merge & Bubble Etc. | Importance Of Sorting Algorithms | Time Complexities of Algorithms | Working Principle -Bubble Sort Alg. | Nested For Loop & Swapping | Bubble Sort Alg. Using python (121:55)
- Summary - Session 13
- 13.1_ Data Structures & Algorithms training By the world Record Holder Mr. Vimal Daga on 8th Mar. 24 _GMT20240308-132519 (61:32)
- 14. Real-Time Sorting | Short Keys | Insertion Sorting | Real Industry Use-cases | Insertion Sorting Using Python | Insert Function | Worst-case Scenario | Time Complexity (103:35)
- Summary - Session14
- 15. Quick sort algorithm | Partitioning | Divide and conquer method | Pivot | Myth about pivot | Subset array | Time complexity of quick sort (98:44)
- Summary - Session 15
- 16 "Partition exchange | Logic for quick sort | Code for quick sort | Recursion | Swapping " (101:27)
- Summary - Session 16
- 17. " Approach to design an algorithm | Divide and conquer approach | Importance of finding patterns | Stop cases | Multi provisioning | Dividing bigger problem into sub problems | Bottom up approach | Recursion | Min and max problem " (84:38)
- Summary Session 17
- 18. Comparison algorithm approach | Dividing bigger problems into sub problems | Bottom up approach | Recursion | Solving min-max problem using the divide and conquer approach | Writing code for the min-max proble (103:34)
- Summary Session 18
- 19. Optimization | Greedy Algorithm | Job Sequencing with deadline Problem. | Optimal Solution | Real world examples that can be solved by greedy algo | Sequencing (80:34)
- Summary Session 19
Important Links
Available in
days
days
after you enroll
Extra Sessions
Available in
days
days
after you enroll
- Session 1 - "STL (Standard Template Library) |Time Complexity | Extend Array | Append Data | CPU Time | POP | Vector | Capacity Function | push_back | Size Function (116:21)
- Session 2 - Create dynamic array | Vector | Traversal Operation | Iterator Class | push_back keyword | itr object | foreach loop | Challenges in array (102:50)
- Session 3 - Limitation of Array| OutOfMemory Exception | Continuous way | Non-continuous way | Linked List | Node | Self-referencing class (131:59)
- Session 4 - Linked List | Head Node| Last Node | Create Node | Updating Memory Address of a node | Linked List Variables | Insertion Operation in linked list | Traverse into linked list using loop (112:45)
- Session 5 - Create Linked List Using Constructor | Read Operation | Length Operation | Abstract Data Type(ADT)| Destructor | Delete Linked List Using Destructo (118:28)
- Session 6 - Insertion Operation on Array | Time Complexity of Insertion Operation on Array | Insertion Operation on Linked List | Time Complexity (Best Case Scenario) of Insertion Operation on Linked List | Time Complexity (Worst Case Scenario) of Insertion Operation on Linked List (106:34)
- Session 7 - LINKED LIST | GET | SET | UPDATE | ARROW OPERATOR | ITERATION | CONSTRUCTOR | DESTRUCTOR | ACCESSING THE DATA | Best Case and Worst Case scenarios | Head node | Tail node (103:38)
- Session 8 - Singly linked list using STL | forward_list library | Doubly Linked List | Create Node in Doubly Linked List (80:11)
- Session 9 - Create Doubly Linked List | Insert Operation | Forward Display Operation | Reverse Display Operation | isEmpty method (104:47)
- Session 10 - push back operation | push front operation | Time complexity of push back & front method | peek operation | Time complexity of peek operation | pop operation | Time complexity of pop operation (114:28)
- Session 11 - FIFO(First In First Out) | Queue Data Structure | Push Operation in Queue | Pop Operation in Queue (63:50)
- Session 12 - Queue : Using Doubly Linked List | Enqueue | Time Complexity of enqueue method | Dequeue | Time Complexity of dequeue method | Display Method | Time Complexity of display method | isEmpty method | Time Complexity of isEmpty method (95:48)
- Session 13 -stack data structures|Time complexity | space complexity |queue |array|list|pop operation|puch back |pop back |activation record |LIFO| (97:02)
- Session 14 - Basics about Tree | Data structure | Terminologies used in Tree Data Structure such as (Leaf, root, sibling, etc) | Ancestor and Descendants | Implement a Tree DS | Binary Search Tree(BST) (132:47)
- Session 15 - linear and nonlinear (difference, example) | Travers Binary Tree | Difference between Depth first traversal and Breadth first traversal | Traverse using pre-order (130:02)
- Session 16 - Strict binary tree | Space and time complexity of pre-order & in-order traversal | In-order & post-order traversal (114:57)
Example Image with Text
Use this Image with Text block to balance out your text content with a complementary visual to strengthen messaging and help your students connect with your product, course, or coaching. You can introduce yourself with a profile picture and author bio, showcase a student testimonial with their smiling face, or highlight an experience with a screenshot.
Example Featured Products
Showcase other available courses, bundles, and coaching products you’re selling with the Featured Products block to provide alternatives to visitors who may not be interested in this specific product.
EXAMPLE
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