Data Structure and Algorithm with Leetcode Exercise (Pre-Recorded)

Topic - 1

• Course objectives and expectations

Topic - 2

• Overview of the course structure and materials

Topic - 3

• Recommended development environment setup

Topic - 4

• Overview of essential tools and resources

Topic - 5

• Introduction to Python programming language

Topic - 6

• Syntax. variables. data types and basic operations

Topic - 7

• Control flow statements: conditionals and loops

Topic - 8

• Defining and calling functions

Topic - 9

• Working with modules and libraries

Topic - 10

• Introduction to common Python libraries for data structures and algorithms

Topic - 11

• OOP

Topic - 12

• Basics of data structures and algorithms

Topic - 13

• Overview of algorithmic thinking and problem-solving strategies

Topic - 14

• Introduction to arrays and their operations

Topic - 15

• Solving problems using Array

Topic - 16

• Introduction to String and their operations

Topic - 17

• Solving problems using String

Topic - 18

• Introduction to Stack and their operations

Topic - 19

• Solving problems using Stack

Topic - 20

• Introduction to Queue and their operations

Topic - 21

• Solving problems using Queue

Topic - 22

• Introduction to Linked List and their operations

Topic - 23

• Solving problems using Linked List

Topic - 24

• Introduction to Linked List and their operations

Topic - 25

• Solving problems using Linked List

Topic - 26

• Introduction to sorting and searching algorithms

Topic - 27

• Comparing different sorting and searching techniques

Topic - 28

• Exploring hashing techniques and hash table implementations

Topic - 29

• Solving problems using hashing

Topic - 30

• Basics of time complexity analysis

Topic - 31

• Evaluating algorithm efficiency using Big O notation

Topic - 32

• Basics of space complexity analysis

Topic - 33

• Analyzing memory usage in algorithms

Topic - 34

• Understanding recursion and its applications

Topic - 35

• Solving problems using recursive algorithms

Topic - 36

• Understanding dynamic programming concepts

Topic - 37

• Solving problems using dynamic programming techniques

Topic - 38

• Exploring greedy algorithms and their characteristics

Topic - 39

• Solving problems using greedy strategies

Topic - 40

• Guided practice sessions to solve coding problems

Topic - 41

• Problem-solving exercises and challenges

Topic - 42

• Review and discussion of solutions
• including time and space complexity analysis