Provide a 6 week practice schedule with daily problem targets

Week 1: Fundamentals & Arrays

• Monday: 3 easy array problems (e.g., Find max/min, Check sorted)

• Tuesday: 3 easy string problems (e.g., Palindrome, Anagram)

• Wednesday: 2 medium array problems (e.g., Two Sum, Product except self)

• Thursday: 2 easy linked list problems (e.g., Reverse list, Detect cycle)

• Friday: 3 easy stack/queue problems (e.g., Implement stack, Queue using stacks)

• Saturday: Review & redo problems from this week

• Sunday: Rest or explore related concepts/videos

Week 2: Intermediate Arrays, Strings, Linked Lists

• Monday: 3 medium array problems (e.g., Merge Intervals, Search rotated sorted array)

• Tuesday: 3 medium string problems (e.g., Longest substring without repeating chars)

• Wednesday: 3 medium linked list problems (e.g., Merge sorted lists)

• Thursday: 3 medium stack and queue problems (Next greater element, Sliding window maximum)

• Friday: 2 easy tree problems (Binary tree traversals)

• Saturday: Review and redo problems from week 2

• Sunday: Rest or quizzes on concepts learned

Week 3: Trees & Graphs Basics

• Monday: 3 medium tree problems (Inorder, Preorder, Postorder traversals)

• Tuesday: 2 medium BFS/DFS problems (Number of islands, Connected components)

• Wednesday: 2 hard tree problems (Lowest common ancestor, Tree diameter)

• Thursday: 3 medium graph problems (Cycle detection, Course schedule)

• Friday: 1 hard graph problem (Strongly connected components)

• Saturday: Review & redo complex tree/graph problems

• Sunday: Rest or videos/read explanations on graph algorithms

Week 4: Sorting, Searching & Hashing

• Monday: 3 easy sorting/searching problems (Binary search, Merge intervals)

• Tuesday: 3 medium hashing problems (First non-repeating char, Longest consecutive sequence)

• Wednesday: 2 medium sorting problems (Kth element of two sorted arrays)

• Thursday: 2 hard caching problems (LRU Cache implementation)

• Friday: 2 medium bit manipulation problems

• Saturday: Review & redo sorting and hashing

• Sunday: Rest or quizzes on sorting/searching/hash functions

Week 5: Dynamic Programming

• Monday: 3 easy DP problems (Climbing stairs, Fibonacci)

• Tuesday: 2 medium DP problems (Coin change, Longest increasing subsequence)

• Wednesday: 2 medium DP problems (Longest common subsequence, Partition equal subset sum)

• Thursday: 1 hard DP problem (Egg dropping puzzle)

• Friday: 1 hard DP problem (Matrix chain multiplication)

• Saturday: Review and revisit challenging DP problems

• Sunday: Rest or study alternate DP approaches

Week 6: Mixed Revision & Mock Tests

• Monday: Mixed easy/medium problems from arrays, strings

• Tuesday: Mixed problems from linked lists, stacks, queues

• Wednesday: Mixed problems from trees, graphs

• Thursday: Mixed sorting, searching, hashing problems

• Friday: Mixed DP problems

• Saturday: Full-length mock interview/problem set under timed conditions

• Sunday: Review mock test, analyze mistakes, finalize preparation

Daily Problem Target: Solve 2-4 problems daily depending on difficulty, spend quality time understanding patterns, writing clean code, and analyzing optimized solutions.

Review: Allocate 1 day per week for review and reinforce weak areas.

This structured plan promotes steady progress and confidence building for technical interviews centered on DSA.