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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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📈 Telegram kanali Data Careers Resources & Job Updates | iamrupnath analitikasi

Data Careers Resources & Job Updates | iamrupnath (@codewithrup) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 20 639 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 6 214-o'rinni va Hindiston mintaqasida 19 786-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 20 639 obunachiga ega bo‘ldi.

27 Sentabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -377 ga, so‘nggi 24 soatda esa -20 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 3.94% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.12% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 814 marta ko‘riladi; birinchi sutkada odatda 232 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent apply, qualification, bachelor, degree, engineer kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“👉 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”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 28 Sentabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

20 639
Obunachilar
-2024 soatlar
-907 kun
-37730 kun
Postlar arxiv
📌PhonePe Recruitment Job Role: Integration Engineer Qualification: Bachelors / Masters Degree Experience: 0 - 1 years Salary: up to ₹10-16 LPA Job Location: Bengaluru ⭕️Apply link: https://techcompreviews.in/phonepe-hiring-integration-engineer/

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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