Mastering critical SKILLS in Data Structures using Python

Almost all other courses focus on knowledge. In this course, we focus on gaining real skills. Overall:The course covers basic to advanced data structuresLearn the inner details of the data structures and their time & memory complexity analysisLearn how to code line-by-lineSource code and Slides and provided for all contentAn extensive amount of practice to master the taught data structures (where most other content fails.

)Content:Asymptotic ComplexityArraysSingly Linked ListDoubly Linked ListProject: Sparse Array and MatrixStackQueue Binary TreeBinary Search TreeBinary HeapAVL TreeLetter Tree (Trie)Hash TableExtensive Homework sets with video solutionsTeaching Style:Instead of long theory then coding style, we follow a unique styleI parallelize the concepts with the codes as much as possibleGo Concrete as possibleUse Clear VisualizationBy the end of the journeySolid understanding of Data Structures topics in PythonMastering different skillsAnalytical and Problem-Solving skillsClean coding for data structuresBlack-box applying on DSWith the administered problem-solving skillsYou can start competitive programming smoothly [DS type]Smooth start in Algorithms courseOne more step toward interviews preparationPrerequisitesStrong Programming Skills:Built-in Data Structures: list, tuple, set, dictionary Comfortable with recursive functionsBasic Programming Problem-Solving SkillsThat is; solved a lot on the basic topicsUse IDE DebuggerPreferred: Project Building SkillsDon't miss such a unique learning experience. Acknowledgement: "I'd like to extend my gratitude towards Robert Bogan for his help with proofreading the slides for this course".