Data Structure and Algorithm (DSA) in Python
COURSE OVERVIEW
Data structures and algorithms are fundamental concepts in computer science and programming that play a crucial role in organizing, storing, and manipulating data efficiently. Data structures are a way to organize and store data so that it can be accessed and manipulated efficiently. They provide a means to manage and structure data in a way that facilitates various operations like insertion, deletion, searching, and sorting. This course can be a good start for a Python beginner.
- Introduction to Data Structures and Algorithms
- Python Basics for DSA
- Arrays and Strings
- Linked Lists
- Stacks and Queues
- Searching Algorithms
- Sorting Algorithms
- Trees and Graphs
- Advanced Data Structures
- Dynamic Programming
- Greedy Algorithms
- Graph Algorithms
- Problem-Solving and Coding Practice
- Project and Real-World Applications
12th Passed + Basic Computer Operating Knowledge
3 months
1. Enhanced Problem-Solving Skills
2. Competitive Programming Proficiency
3. Interview Preparation
4. Career Advancement Opportunities
5. Algorithmic Thinking Mastery
6. Technical Interview Readiness
7. Data Structure Proficiency
8. Python Programming Expertise
9. Industry-Relevant Skillset
10. Higher Employability Potential
Content
Eligibility
Duration
Achievement
Content
- Introduction to Data Structures and Algorithms
- Python Basics for DSA
- Arrays and Strings
- Linked Lists
- Stacks and Queues
- Searching Algorithms
- Sorting Algorithms
- Trees and Graphs
- Advanced Data Structures
- Dynamic Programming
- Greedy Algorithms
- Graph Algorithms
- Problem-Solving and Coding Practice
- Project and Real-World Applications
Eligibility
12th Passed + Basic Computer Operating Knowledge
Duration
3 months
Achievement
1. Enhanced Problem-Solving Skills
2. Competitive Programming Proficiency
3. Interview Preparation
4. Career Advancement Opportunities
5. Algorithmic Thinking Mastery
6. Technical Interview Readiness
7. Data Structure Proficiency
8. Python Programming Expertise
9. Industry-Relevant Skillset
10. Higher Employability Potential
Note - Download brochure for detailed course syllabus.
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