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Data Careers Resources & Job Updates | iamrupnath

Data Careers Resources & Job Updates | iamrupnath

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👉 Connect LinkedIn : https://www.linkedin.com/in/rupnath-shaw Google Search => Techcompreviews IG: @iamrupnath Perfect channel for Data Careers, Job Updates Learn Excel, SQL, Python, Tableau, Power BI, AI tools, AI tips & tricks and many more

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📈 Аналітичний огляд Telegram-каналу Data Careers Resources & Job Updates | iamrupnath

Канал Data Careers Resources & Job Updates | iamrupnath (@codewithrup) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 20 639 підписників, посідаючи 6 214 місце в категорії Технології та додатки та 19 786 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 20 639 підписників.

За останніми даними від 27 вересня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на -377, а за останні 24 години на -20, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 3.94%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.12% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 814 переглядів. Протягом першої доби публікація в середньому набирає 232 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 0.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як apply, qualification, bachelor, degree, engineer.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“👉 Connect LinkedIn : https://www.linkedin.com/in/rupnath-shaw Google Search => Techcompreviews IG: @iamrupnath Perfect channel for Data Careers, Job Updates Learn Excel, SQL, Python, Tableau, Power BI, AI tools, AI tips & tricks and many more”

Завдяки високій частоті оновлень (останні дані отримано 28 вересня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.

20 639
Підписники
-2024 години
-907 днів
-37730 днів
Архів дописів
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API QUICK REFRENCE.pdf12.59 MB

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30-days learning plan to master Data Structures and Algorithms (DSA) and prepare for coding interviews. ### Week 1: Foundations and Basic Data Structures Day 1-3: Arrays and Strings - Topics to Cover:   - Array basics, operations (insertion, deletion, searching)   - String manipulation   - Two-pointer technique, sliding window technique - Practice Problems:   - Two Sum   - Maximum Subarray   - Reverse a String   - Longest Substring Without Repeating Characters Day 4-5: Linked Lists - Topics to Cover:   - Singly linked list, doubly linked list, circular linked list   - Common operations (insertion, deletion, reversal) - Practice Problems:   - Reverse a Linked List   - Merge Two Sorted Lists   - Remove Nth Node From End of List Day 6-7: Stacks and Queues - Topics to Cover:   - Stack operations (push, pop, top)   - Queue operations (enqueue, dequeue)   - Applications (expression evaluation, backtracking, breadth-first search) - Practice Problems:   - Valid Parentheses   - Implement Stack using Queues   - Implement Queue using Stacks ### Week 2: Advanced Data Structures Day 8-10: Trees - Topics to Cover:   - Binary Trees, Binary Search Trees (BST)   - Tree traversal (preorder, inorder, postorder, level order) - Practice Problems:   - Invert Binary Tree   - Validate Binary Search Tree   - Serialize and Deserialize Binary Tree Day 11-13: Heaps and Priority Queues - Topics to Cover:   - Binary heap (min-heap, max-heap)   - Heap operations (insert, delete, extract-min/max)   - Applications (heap sort, priority queues) - Practice Problems:   - Kth Largest Element in an Array   - Top K Frequent Elements   - Find Median from Data Stream Day 14: Hash Tables - Topics to Cover:   - Hashing concept, hash functions, collision resolution (chaining, open addressing)   - Applications (caching, counting frequencies) - Practice Problems:   - Two Sum (using hash map)   - Group Anagrams   - Subarray Sum Equals K ### Week 3: Algorithms Day 15-17: Sorting and Searching Algorithms - Topics to Cover:   - Sorting algorithms (quick sort, merge sort, bubble sort, insertion sort)   - Searching algorithms (binary search, linear search) - Practice Problems:   - Merge Intervals   - Search in Rotated Sorted Array   - Sort Colors   - Find Peak Element Day 18-20: Recursion and Backtracking - Topics to Cover:   - Basic recursion, tail recursion   - Backtracking (N-Queens, Sudoku solver) - Practice Problems:   - Permutations   - Combination Sum   - Subsets   - Word Search Day 21: Divide and Conquer - Topics to Cover:   - Basic concept, merge sort, quick sort, binary search - Practice Problems:   - Median of Two Sorted Arrays   - Pow(x, n)   - Kth Largest Element in an Array (using divide and conquer)   - Maximum Subarray (using divide and conquer) ### Week 4: Graphs and Dynamic Programming Day 22-24: Graphs - Topics to Cover:   - Graph representations (adjacency list, adjacency matrix)   - Traversal algorithms (DFS, BFS)   - Shortest path algorithms (Dijkstra's, Bellman-Ford) - Practice Problems:   - Number of Islands Day 25-27: Dynamic Programming - Topics to Cover:   - Basic concept, memoization, tabulation   - Common problems (knapsack, longest common subsequence) - Practice Problems:   - Longest Increasing Subsequence   - Maximum Product Subarray Day 28: Advanced Topics and Miscellaneous - Topics to Cover:   - Bit manipulation   - Greedy algorithms   - Miscellaneous problems (trie, segment tree, disjoint set) - Practice Problems:   - Single Number   - Decode Ways   - Minimum Spanning Tree ### Week 5: Review and Mock Interviews Day 29: Review and Weakness Analysis - Activities:   - Review topics you found difficult   - Revisit problems you struggled with Day 30: Mock Interviews and Practice - Activities:   - Conduct mock interviews with a friend or use online platforms   - Focus on communication and explaining your thought process Join for more: https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h ENJOY LEARNING 👍👍

30-days learning plan to master Data Structures and Algorithms (DSA) and prepare for coding interviews. ### Week 1: Foundations and Basic Data Structures Day 1-3: Arrays and Strings - Topics to Cover: - Array basics, operations (insertion, deletion, searching) - String manipulation - Two-pointer technique, sliding window technique - Practice Problems: - Two Sum - Maximum Subarray - Reverse a String - Longest Substring Without Repeating Characters Day 4-5: Linked Lists - Topics to Cover: - Singly linked list, doubly linked list, circular linked list - Common operations (insertion, deletion, reversal) - Practice Problems: - Reverse a Linked List - Merge Two Sorted Lists - Remove Nth Node From End of List Day 6-7: Stacks and Queues - Topics to Cover: - Stack operations (push, pop, top) - Queue operations (enqueue, dequeue) - Applications (expression evaluation, backtracking, breadth-first search) - Practice Problems: - Valid Parentheses - Implement Stack using Queues - Implement Queue using Stacks ### Week 2: Advanced Data Structures Day 8-10: Trees - Topics to Cover: - Binary Trees, Binary Search Trees (BST) - Tree traversal (preorder, inorder, postorder, level order) - Practice Problems: - Invert Binary Tree - Validate Binary Search Tree - Serialize and Deserialize Binary Tree Day 11-13: Heaps and Priority Queues - Topics to Cover: - Binary heap (min-heap, max-heap) - Heap operations (insert, delete, extract-min/max) - Applications (heap sort, priority queues) - Practice Problems: - Kth Largest Element in an Array - Top K Frequent Elements - Find Median from Data Stream Day 14: Hash Tables - Topics to Cover: - Hashing concept, hash functions, collision resolution (chaining, open addressing) - Applications (caching, counting frequencies) - Practice Problems: - Two Sum (using hash map) - Group Anagrams - Subarray Sum Equals K ### Week 3: Algorithms Day 15-17: Sorting and Searching Algorithms - Topics to Cover: - Sorting algorithms (quick sort, merge sort, bubble sort, insertion sort) - Searching algorithms (binary search, linear search) - Practice Problems: - Merge Intervals - Search in Rotated Sorted Array - Sort Colors - Find Peak Element Day 18-20: Recursion and Backtracking - Topics to Cover: - Basic recursion, tail recursion - Backtracking (N-Queens, Sudoku solver) - Practice Problems: - Permutations - Combination Sum - Subsets - Word Search Day 21: Divide and Conquer - Topics to Cover: - Basic concept, merge sort, quick sort, binary search - Practice Problems: - Median of Two Sorted Arrays - Pow(x, n) - Kth Largest Element in an Array (using divide and conquer) - Maximum Subarray (using divide and conquer) ### Week 4: Graphs and Dynamic Programming Day 22-24: Graphs - Topics to Cover: - Graph representations (adjacency list, adjacency matrix) - Traversal algorithms (DFS, BFS) - Shortest path algorithms (Dijkstra's, Bellman-Ford) - Practice Problems: - Number of Islands Day 25-27: Dynamic Programming - Topics to Cover: - Basic concept, memoization, tabulation - Common problems (knapsack, longest common subsequence) - Practice Problems: - Longest Increasing Subsequence - Maximum Product Subarray Day 28: Advanced Topics and Miscellaneous - Topics to Cover: - Bit manipulation - Greedy algorithms - Miscellaneous problems (trie, segment tree, disjoint set) - Practice Problems: - Single Number - Decode Ways - Minimum Spanning Tree ### Week 5: Review and Mock Interviews Day 29: Review and Weakness Analysis - Activities:   - Review topics you found difficult   - Revisit problems you struggled with Day 30: Mock Interviews and Practice - Activities:   - Conduct mock interviews with a friend or use online platforms   - Focus on communication and explaining your thought process Join for more: https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h ENJOY LEARNING 👍👍

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