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Data Structures and Algorithms: In-Depth DSA using Python

Develop essential programming & development skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of programming & development
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry StandardsPython
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of programming & development
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in programming & development
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

This course will help you in better understanding of the basics of Data Structures and how algorithms are implemented in Python. This course consists of Videos which covers the theory concepts + implementation in python. There's tons of concepts and content in this course:Basics of data structures & AlgorithmsAnalysis of Algorithms (Big O, Time and Space complexity) Recursion & Analysis of Recursive AlgorithmsSearching AlgorithmsSorting AlgorithmsLinked ListStacksQueuesBinary TreesBinary Search TreesBalanced Binary Search TreesPriority Queues and HeapsHashingGraphsGraph Traversal AlgorithmsFollowed by Advanced Topics of Algorithms:Sets and Disjoint SetsDivide and Conquer Approach - IntroductionDivide and Conquer - Binary SearchDivide and Conquer - Finding Maximum and MininumDivide and Conquer - Merge SortDivide and Conquer - Quick SortDivide and Conquer - Selection AlgorithmDivide and Conquer - Strassens Matrix MultiplicationDivide and Conquer - Closest PairDivide and Conquer - Convex HullGreedy Method - IntroductionGreedy Method - Knapsack ProblemGreedy Method - Job Sequencing with DeadlinesGreedy Method - Mininum Cost Spanning Tree (Prim's & Kruskal's Algorithms)Greedy Method - Optimal Storage on TreesGreedy Method - Optimal Merge PatternGreedy Method - Single Source Shortest Path (Dijkstra's Algorithm)Dynamic Programming - IntroductionDynamic Programming - Multistage GraphsDynamic Programming - All Pairs Shortest PathDynamic Programming - Single Source Shortest PathDynamic Programming - Optimal Binary Search TreesDynamic Programming - 0/1 Knapsack ProblemDynamic Programming - Reliability DesignDynamic Programming - Travelling Salespersons ProblemBacktracking - IntroductionBacktracking - n-Queesn ProblemBacktracking - Sum of Subsets ProblemBacktracking - Graph Coloring ProblemBacktracking - Hamiltonian Cycles ProblemBacktracking - 0/1 Knapsack ProblemBranch & Bound - IntroductionBranch & Bound - n-Queens ProblemBranch & Bound - Job Sequencing ProblemBranch & Bound - 0/1 Knapsack ProblemAgain, each of these sections includes detailed videos tutorial.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Technology & Programming

Topics Covered

Programming & DevelopmentPython

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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