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Data Structures and Algorithm in Python By Prashant Sir

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Description
Welcome to the Data Structures and Algorithms in Python course, expertly designed to give you a robust understanding of essential concepts for problem-solving and technical interviews. Through engaging lessons and practical challenges, you will master the core building blocks of efficient coding and computational thinking.

What You Will Achieve

  • Master the Fundamentals: Learn about foundational data structures such as arrays, lists, stacks, queues, and trees, along with algorithm basics like searching, sorting, and recursion.
  • Develop Problem-Solving Skills: Tackle real-world coding problems to enhance your ability to devise efficient algorithms and apply data structures effectively.
  • Optimize Code: Understand time and space complexity to write optimized and scalable code.
  • Grasp Advanced Concepts: Dive into advanced topics like graph algorithms, dynamic programming, and greedy methods, expanding your toolkit for complex problems.
  • Prepare for Interviews: Build the confidence to solve coding interview challenges using Python with clarity and precision.

What You’ll Learn

  • Introduction to Data Structures: Understand the role and importance of data structures in programming. Learn how to choose the right one for specific scenarios.
  • Algorithms Overview: Get an introduction to algorithm design, complexity analysis, and key paradigms like divide and conquer.
  • Core Data Structures: Explore arrays, linked lists, stacks, queues, hash tables, and trees with hands-on implementation in Python.
  • Searching and Sorting: Implement fundamental algorithms like binary search, quicksort, mergesort, and more.
  • Dynamic Programming: Learn to solve complex problems efficiently by breaking them into simpler sub-problems.
  • Graph Algorithms: Explore graph traversal techniques like BFS and DFS, shortest paths, and minimum spanning trees.
  • Problem-Solving Practice: Work on curated coding challenges to solidify your understanding and improve your speed.

Who This Course Is For

  • Beginners in Programming: Individuals just starting with Python and eager to learn essential concepts in algorithms and data structures.
  • Computer Science Students: Undergraduates seeking to strengthen their understanding of core CS concepts and ace academic exams.
  • Competitive Programmers: Coders aiming to excel in competitive coding contests by mastering efficient algorithms and Python tricks.
  • Job Seekers: Aspiring software engineers preparing for technical interviews at top companies.
  • Experienced Programmers: Developers wanting to brush up on data structures and algorithms to write more optimized and scalable code.

Our Instructor 

Mr. Prashant Sir 

Experienced instructor with a deep understanding of programming and DSA oin python. He Has worked extensively in both academic and corporate settings, delivering high-quality training sessions. Specializes in simplifying complex logic and problem-solving techniques for students. Dedicated to helping learners grasp core programming concepts with ease. Proficient in guiding students through competitive programming and technical interview preparation.

Resources

For more such resources and Practise DSA questions, do visit Data Structures and Algorithms Interview Preparation Codes By Career Credentials and Primitive data types Interview Preparation Codes By Career Credentials.

Prepare yourself to delve into our resource portal, Prepcrazy featuring programming notes, informative books, interview question sets, coding platforms, and much more. Feel free to explore it whenever you can.

Do I need any prior knowledge before taking this course?
Prior knowledge of Python fundamentals are required to start working with DSA.
Is there a certificate upon completion?
Yes, upon successful completion of the course and all required assessments, you will receive a certificate.
What if I get stuck during the course?
You can ask questions in the course discussion forums, or join live Q&A sessions with the instructor. There are also plenty of online resources, and you’ll have access to a community of learners for additional support.
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Course details
Duration 20 Hours
Lectures 23
Level Intermediate