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Long Term Mentorship

1-on-1 long-term mentorship with your chosen mentor to guide you to the career you deserve

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As compared to any online courses



Get a results within 6 months instead of years

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Task & Curated Resources

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Anushka Singh | Fresher

What are some of the questions I can ask the interviewer?

Here are some questions you can ask the interviewer: Can you tell me more about the major responsibilities of this role? What opportunities for professional development and growth are available within the company? Can you tell me about the team I would be working with? What is the typical career path for someone in this role? What is the company's approach to diversity and inclusion? Can you provide more information about the company's long-term goals and where it's headed? What is the next step in the interview process? Remember to tailor your questions to the specific company and role you are interviewing for. It's also a good idea to take notes during the interview so that you can refer back to the information later. Regenerate response

Ajitesh Chandra | Working Professional

How can one be well prepared to answer data structure/algorithm questions in interviews?

Preparing for data structure and algorithm questions in interviews requires a combination of understanding core concepts, practicing problem-solving techniques, and implementing efficient algorithms. Here's a step-by-step guide to help you be well prepared: 1. Review fundamental concepts: Refresh your knowledge of key data structures such as arrays, linked lists, stacks, queues, trees, graphs, and hash tables. Understand their properties, operations, and time complexities. 2. Study common algorithms: Familiarize yourself with common algorithms like sorting (e.g., bubble sort, quicksort, mergesort), searching (e.g., linear search, binary search), and graph traversal algorithms (e.g., breadth-first search, depth-first search). 3. Understand algorithmic complexity: Gain a solid understanding of time and space complexity analysis (Big O notation) to assess the efficiency of algorithms. Know the time complexities of common operations on different data structures. 4. Solve practice problems: Solve a variety of coding problems that involve data structures and algorithms. Websites like LeetCode, HackerRank, and CodeSignal offer a wide range of practice problems categorized by difficulty level. Start with easier problems and gradually challenge yourself with more complex ones. 5. Analyze optimal solutions: After solving a problem, analyze the time and space complexity of your solution. Look for ways to optimize it by identifying redundant computations or improving the algorithm. Practice thinking critically about the efficiency of your code. 6. Implement key algorithms: Be able to implement essential algorithms from scratch, such as sorting algorithms (e.g., quicksort, mergesort), graph algorithms (e.g., breadth-first search, depth-first search), and dynamic programming algorithms (e.g., Fibonacci sequence, knapsack problem). 7. Learn data structure-specific techniques: Understand specific techniques related to data structures. For example, for trees, learn about depth-first search, breadth-first search, and tree traversal algorithms (inorder, preorder, postorder). For graphs, study graph traversal algorithms and algorithms like Dijkstra's and Kruskal's. 8. Practice coding interviews: Simulate coding interviews by participating in mock interviews or coding challenges. Time yourself and practice explaining your thought process and code as you solve problems. Use resources like Cracking the Coding Interview by Gayle Laakmann McDowell to practice common interview questions. 9. Study common interview topics: Review common interview topics such as dynamic programming, recursion, bit manipulation, and string manipulation. Understand the concepts and practice solving problems related to these topics. 10. Learn from others: Engage in discussions with peers, participate in coding communities, and follow online tutorials and coding blogs. Learning from others and sharing insights can enhance your understanding and problem-solving skills. Remember, the goal is not just to solve problems but also to understand the underlying principles and develop problem-solving intuition. With consistent practice and a solid understanding of data structures and algorithms, you'll be well-prepared to tackle data structure and algorithm questions in interviews.

dfghj | Fresher

I am preparing from past 2 months still i am not confident for interviews. What to do?

Hi Jagruti, Don't get disheartened. Follow few tips and I hope you will gain confidence and be successful in interviews. 1.Think positive. 2.Practice mock interviews in exactly same fashion as you are going to appear in a real one. Dress formally and practice how to present yourself, your body language etc. 3.You can do this standing in front of a mirror and also get help from your friend. 4.Having an eye contact with the interviewer helps build up confidence. 5.Work on the traits you think are weak in you. 6.Prepare the possible answers and rehearse them as many times as you can. 7.Research on the subject, latest updates in your field. 8.Do not reply in a hurry. Be cool, humble and practice answering thoughtfully. Interviewer keep an eye on your way of replying also. 9.Meditation, deep breathing exercise will also help you a lot. Hope this helps you , best wishes always. Arvind Jain

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