Codepro 2898
Land your dream tech job in 6 weeks! Our intensive programming bootcamp equips you with in-demand skills and job-search strategies.
Type : Live Online
Duration : 6 Weeks
Starting From : 10 August 2024
Why do you need to master coding ?
2000
Job opportunities
available
55%
students fail in the first level
of interviews
70%
final year students realize they could have started studying coding early
$455.B
Years on year growth of
the industry
Program Highlights
- Dedicate just 98 minutes each day to elevate your coding proficiency.
- Follow a structured curriculum designed to maximize learning in a short period.
- Gain hands-on experience by tackling over 100 problems on LeetCode.
- Learn to approach problems methodically and develop efficient solutions.
- Deep dive into fundamental concepts essential for any coder.
- Understand how to implement and apply various data structures and algorithms effectively.
- Whether you code in C++, Java, Python, or any other language, this program is designed for you.
- Focus on problem-solving and algorithmic thinking, applicable across all programming languages.
- Prepare to excel on leading coding platforms like HackerRank, LeetCode, and HackerEarth.
- Build a solid foundation to solve problems across different competitive coding sites.
- Equip yourself with the skills needed to ace coding interviews and exams.
- Gain the confidence to tackle challenges posed by top tech companies.
Master coding and ace all coding exams.
What You Will Learn?
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
6 weeks of intense learning
100+ Problems solving
20+ Core topics covered
- Mathematical Concepts:
-
- Fundamental arithmetic and number theory.
-
- Mathematical reasoning and problem-solving techniques.
-
- Prime numbers, GCD, and LCM.
- Arrays:
-
- Introduction to arrays and basic operations.
-
- Array traversal, searching, and sorting.
-
- Multi-dimensional arrays and matrix operations.
- Strings:
-
- Basic string operations and manipulations.
-
- Pattern matching algorithms.
-
- String sorting and transformation.
- Linked Lists:
- Singly and doubly linked lists.
-
- Operations: insertion, deletion, and traversal.
-
- Circular linked lists and their applications.
- Stacks:
-
- Stack implementation using arrays and linked lists.
-
- Common stack operations: push, pop, peek.
-
- Applications of stacks in problem-solving.
- Queues:
-
- Queue implementation using arrays and linked lists.
-
- Types of queues: simple, circular, and priority queues.
-
- Common queue operations: enqueue, dequeue, front, rear.
- Binary Trees:
-
- Tree traversal techniques: in-order, pre-order, post-order.
-
- Binary search trees (BST) and their properties.
-
- AVL trees and balancing techniques.
- Advanced Trees:
-
- Heap data structures: min-heap and max-heap.
-
- Trie and its applications in string processing.
-
- Segment trees and interval trees for range queries.
- Graph Fundamentals:
-
- Graph representations: adjacency matrix and list.
-
- Types of graphs: directed, undirected, weighted, and unweighted.
-
- Graph traversal algorithms: BFS and DFS.
- Advanced Graph Algorithms:
-
- Shortest path algorithms: Dijkstra’s and Floyd-Warshall.
-
- Minimum spanning tree algorithms: Kruskal’s and Prim’s.
-
- Network flow and bipartite matching.
- Recursion:
-
- Understanding recursion and its applications.
-
- Solving problems using recursive algorithms.
-
- Tail recursion and its optimization.
- Greedy Algorithms:
-
- Greedy method principles and problem-solving.
-
- Classic greedy problems: activity selection, knapsack, and coin change.
-
- Comparing greedy algorithms with other approaches.
- Dynamic Programming Basics:
-
- Understanding the concept of dynamic programming.
-
- Memoization vs. tabulation techniques.
-
- Solving problems using dynamic programming.
- Advanced Dynamic Programming:
-
- Classic DP problems: longest common subsequence, knapsack problem, and matrix chain multiplication.
-
- State optimization and space complexity reduction.
-
- DP on trees and graphs.
Learn by doing
Master coding through hands-on challenges that mirror real-world scenarios. Experience practical learning and elevate your skills by solving problems that industry professionals face daily.
100+
Coding challenges
Coding Challenges 01
Graph-based Social Network Analysis: Develop a tool to analyze and visualize social networks using graph algorithms to find shortest paths, centrality, and community detection.
Coding Challenges 02
Dynamic Programming Scheduler: Create a scheduling application that uses dynamic programming to optimize resource allocation and task scheduling.
Coding Challenges 03
Tree Data Structure Visualizer: Build a visualization tool for various tree data structures (binary trees, AVL trees, etc.) to demonstrate insertion, deletion, and traversal operations.
Coding Challenges 04
Optimal Path Finder in a Grid: Implement an algorithm to find the shortest path in a grid with obstacles using dynamic programming and graph traversal techniques.
Coding Challenges 05
Graph Coloring Problem Solver: Design an application to solve the graph coloring problem, ensuring no two adjacent vertices share the same color.
Coding Challenges 06
Develop a tool for hierarchical clustering of data and visualizing the results using dendrograms. This tool can be used for various applications, such as market segmentation, biological taxonomy, or document clustering.
Still Confused?
Don’t wait to transform your coding skills. Sign up today for our hands-on coding challenges and see immediate improvements. Join a community of learners and professionals, and start solving real-world problems from day one. Your journey to becoming a proficient coder begins now!