Industrial
Professional
Data Structures using Python
This course offers a comprehensive understanding of Data Structures and Algorithms (DSA) using Python, equipping learners with essential problem-solving skills for software development, competitive programming, and technical interviews. Starting with Python programming essentials, the course progressively explores arrays, strings, linked lists, stacks, queues, trees, graphs, and hashing, with emphasis on efficient implementations and performance analysis.
Students will master recursion, dynamic programming, divide-and-conquer, and greedy algorithms, while analyzing time and space complexity to write optimized code. Practical coding exercises and real-world problem sets reinforce theoretical concepts, ensuring proficiency in implementing and evaluating algorithms.
The course also covers graph algorithms (DFS, BFS, Dijkstra, Kruskal, Prim), advanced trees (AVL, Red-Black, B-Trees), heaps, and hash tables, culminating in a capstone project integrating multiple concepts. By course completion, learners will be confident in designing and implementing scalable solutions, tackling complex programming challenges, and preparing for technical interviews.
Expectations and Goals
Expectations:
- Gain a strong foundation in data structures and algorithms using Python.
- Understand algorithmic complexity and write optimized, clean code.
- Solve real-world problems through rigorous hands-on practice.
- Implement and analyze arrays, linked lists, stacks, queues, trees, graphs, and hash tables.
- Master recursion, dynamic programming, greedy methods, and sorting/searching techniques.
- Be well-prepared for coding interviews and competitive programming.
Goals:
- Master core Python concepts needed for DSA implementation.
- Learn efficient algorithms for data manipulation and problem-solving.
- Develop algorithm design skills using recursion, divide-and-conquer, and dynamic programming.
- Gain hands-on experience in graph and tree algorithms with practical insight.
- Build a mini-project to reinforce learning.
- Prepare for technical interviews through coding challenges and applied problem-solving.
Mode of Training:
- LIVE Online
- Offline in Kolkata
- Offline in Durgapur
- Offline in Institutions / Companies (for institutional and corporate training)
None
Course Modules
Industrial
- Duration - 30 to 40 Hours (2/3/4/6/8 Weeks)
- Daily / Weekly Classes
- 2 Case Studies & 1 Live Project
- Industrial Courses are only for students. You can avail this by producing valid proof of studentship. Work on assignments, case studies, and projects.
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WHEN WILL YOUR COURSE/TRAINING/INTERNSHIP START AFTER ADMISSION?
As per our policy, we start the course/training/internship within 10 days from the date of enrollment. If you enroll for future month/date, our schedule team will coordinate with you and assign your class. To communicate with our schedule team for preferred timing, email to training@ardentcollaborations.com. All courses/internships can be scheduled in customised manner as per your requirements. - Download Content
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SPECIAL OFFER - SAVE 50%
90004500
Professional
- Duration - 60 to 80 Hours (12/16/20/24 Weeks)
- Daily / Weekly Classes
- 4 Case Studies & 1 Minor Project & 1 Live Project
- Professional Courses are more comprehensive. The learning is case study based and project oriented. Ideal for passout students and working professionals.
-
WHEN WILL YOUR COURSE/TRAINING/INTERNSHIP START AFTER ADMISSION?
As per our policy, we start the course/training/internship within 10 days from the date of enrollment. If you enroll for future month/date, our schedule team will coordinate with you and assign your class. To communicate with our schedule team for preferred timing, email to training@ardentcollaborations.com. All courses/internships can be scheduled in customised manner as per your requirements. -
Download Content
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SPECIAL OFFER - SAVE 50%
180009000
