Total: $1,100.00
6 Week Python DSA
★★★★★
(334 Reviews)
Learn the basics of Python and data structures. Use practice modules to boost your coding and logic. End the roadmap with projects to showcase your Python abilities.
₹4999/- Duration: 6 Weeks
Why Learn C++ DSA?
Enhance algorithm skills using C++ DSA
Efficient Problem-Solving Skills
C++ DSA improves logic, problem-solving, and coding skills for complex challenges.
High Performance and Speed
C++ offers fast execution, memory efficiency, ideal for competitive programming and system applications.
Essential for Coding Interviews
Top tech companies assess C++ DSA skills in interviews, essential for securing high-paying jobs.
Foundation for Advanced Technologies
Mastering C++ DSA builds a strong foundation for machine learning and development.
Training Curriculum
Master Skills with Detailed Curriculum
- Overview of Python and its advantages
- Importance of Data Structures and Algorithms
- Setting up the development environment
- Understanding time and space complexity/li>
- Variables, data types, and operators
- Control flow (loops, conditionals)
- Functions and recursion
- Object-oriented programming (OOP) concepts
- One-dimensional and multi-dimensional arrays
- Array operations (searching, sorting, and manipulation)
- String manipulation techniques
- Sliding window and two-pointer techniques
- Singly, doubly, and circular linked lists
- Insertion, deletion, and traversal operations
- Detecting and removing loops in linked lists
- Real-world applications of linked lists
- Introduction to stacks and queues
- Implementing stacks and queues using lists and deque
- Applications (expression evaluation, undo-redo functionality)
- Priority queue and deque operations
- Introduction to recursion and its applications
- Backtracking techniques (N-Queens, Sudoku Solver)
- Recursion vs. iteration
- Optimizing recursive algorithms
- Introduction to trees and binary trees
- Tree traversals (inorder, preorder, postorder, level order)
- Binary search tree operations (insertion, deletion, searching)
- Balancing BST and AVL trees
- Introduction to dynamic programming (DP)
- Memoization and tabulation techniques
- Classic DP problems (knapsack, longest common subsequence, coin change)
- Optimization strategies in DP
- Graph representations (adjacency list, adjacency matrix)
- BFS and DFS traversal algorithms
- Shortest path algorithms (Dijkstra, Floyd-Warshall, Bellman-Ford)
- Minimum spanning trees (Kruskal’s and Prim’s algorithms)
- Searching algorithms (linear search, binary search)
- Mock coding tests and problem-solving sessions
- Hands-on projects using Python DSA
- Final assessment and certification
- Introduction to heaps (min-heap, max-heap)
- Heap operations and heap sort
- Hashing concepts and hash functions
- Collision handling techniques (chaining, open addressing)
- Trie and segment trees
- Bit manipulation techniques
- Disjoint set union (DSU) and graph coloring
- Real-world applications of DSA in Python
- Common DSA problems asked in technical interviews
- Mock coding tests and problem-solving sessions
- Hands-on projects using Python DSA
- Final assessment and certification
Summer Training Enquiry Form
Job Assistance Program
What placement assistance will you receive?
Free Placement Prep Training
Learn how to build your resume, make great applications, and ace your interviews.
Curated Internships & Jobs
Get internships and fresher jobs as per your preference in your inbox.
Get highlighted on Bsates Edtech
Top performers will be highlighted in their internship & job applications.
Training Highlights
How will your training work?
Learn Concepts
Go through training modules to learn and grasp essential concepts effectively.
Test Yourself
Test your knowledge through quizzes & module tests at regular intervals.
Hands-on Practice
Work on assignments and projects. Use our in-browser IDE for coding practice.
1:1 Doubt Solving
Get your doubts solved by experts through Q&A forum within 24 hours.
Take Final Exam
Successfully complete your training by preparing for and taking the final exam.
Get Certified
Earn your certification after successfully completing the training program.
COURSE CURRICULUM
Master Skills with Detailed Curriculum
1
Module 1: Introduction to Python and DSA
Overview of Python and its advantages
Importance of Data Structures and Algorithms
Setting up the development environment
2
Module 2: Python Fundamentals for DSA
Variables, data types, and operators
Control flow (loops, conditionals)
Functions and recursion
Object-oriented programming (OOP) concepts
3
Module 3: Arrays and Strings
One-dimensional and multi-dimensional arrays
Array operations (searching, sorting, and manipulation)
String manipulation techniques
Sliding window and two-pointer techniques
4
Module 4: Linked Lists
Singly, doubly, and circular linked lists
Insertion, deletion, and traversal operations
Detecting and removing loops in linked lists
Real-world applications of linked lists
5
Module 5: Stacks and Queues
Introduction to stacks and queues
Implementing stacks and queues using lists and deque
Applications (expression evaluation, undo-redo functionality)
Priority queue and deque operations
6
Module 6: Recursion and Backtracking
Introduction to recursion and its applications
Backtracking techniques (N-Queens, Sudoku Solver)
Recursion vs. iteration
Optimizing recursive algorithms
7
Module 7: Trees and Binary Search Trees (BST)
Introduction to trees and binary trees
Tree traversals (inorder, preorder, postorder, level order)
Binary search tree operations (insertion, deletion, searching)
Balancing BST and AVL trees
8
Module 8: Heaps and Hashing
Introduction to dynamic programming (DP)
Memoization and tabulation techniques
Classic DP problems (knapsack, longest common subsequence, coin change)
Optimization strategies in DP
9
Module 9: Graphs and Graph Algorithms
Graph representations (adjacency list, adjacency matrix)
BFS and DFS traversal algorithms
Shortest path algorithms (Dijkstra, Floyd-Warshall, Bellman-Ford)
Minimum spanning trees (Kruskal’s and Prim’s algorithms)
10
Module 10: Sorting and Searching Algorithms
Searching algorithms (linear search, binary search)
Mock coding tests and problem-solving sessions
Hands-on projects using Python DSA
Final assessment and certification
11
Module 11: Dynamic Programming
Introduction to heaps (min-heap, max-heap)
Heap operations and heap sort
Hashing concepts and hash functions
Collision handling techniques (chaining, open addressing)
12
Module 12: Advanced Topics and Applications
Trie and segment trees
Bit manipulation techniques
Disjoint set union (DSU) and graph coloring
Real-world applications of DSA in Python
13
Module 13: Coding Interview Preparation and Projects
Common DSA problems asked in technical interviews
Mock coding tests and problem-solving sessions
Hands-on projects using Python DSA
Final assessment and certification
Frequently Asked Questions
This course covers data structures and algorithms (DSA) using Python to help learners improve problem-solving skills for coding interviews and competitive programming.
Beginners, students, and professionals who want to master DSA concepts, enhance coding skills, and prepare for technical interviews at top companies.
Basic Python knowledge is recommended, but the course includes Python fundamentals to help beginners get started.
The course includes arrays, linked lists, stacks, queues, trees, graphs, recursion, dynamic programming, sorting, and searching algorithms in Python.
The training typically lasts 6 to 8 weeks, but learners can complete it at their own pace.
Yes, upon successful completion, you will receive a Python DSA certification to showcase your skills.
Yes, the course includes coding exercises, real-world projects, and 500+ DSA-based problems to enhance practical knowledge.
It prepares you for coding interviews by covering frequently asked DSA problems and improving problem-solving efficiency.
You can register online through the course provider’s website and start learning immediately.
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