Overview of Algorithms and Data structures Training for Job Interview and Recruitment
An intensive knowledge of Algorithms and Data structures is one of the fundamental knowledge required to be a great developer.
It forms the backbone of programming and how to go about solving programming problems.
It is not really a surprise that most tech companies test job applicants on their ability to solve algorithms and data structures problems during a job interview and recruitment process.
To build a really good profile and increase your chances of being shortlisted and possibly hired, you should have a strong knowledge of algorithms and data structure.
Actually, you should know all that is required along with a strong knowledge of algorithms and data structure before the job interview and recruitment process.
Before then, you should have built a strong online portfolio on Github and LinkedIn.
When your Github and LinkedIn Profile is really good, job recruiters may connect with you directly on LinkedIn or via email.
At Sikademy, Archangel believes that the following three things are very important for job candidates to keep in mind:
We always tell job applicants and developers that knowledge is the key to anything and to get knowledge, you have to learn. It is not an easy feat, you will have to work hard to gain the right knowledge. Knowledge comes to those who crave it. In fact, lifelong learning and accessibility to knowledge is the core vision of Sikademy.
Focus is required to pull off whatever you set your mind to do. For instance, Archangel's focus is to grow Sikademy to become one of the big tech companies and help developers, students, and other knowledge enthusiasts learn and gain knowledge to achieve their dreams. Similarly, if your focus is acing an algorithm and data structures job interview, focus on it, and make it happen. We bet you will achieve it.
Persistence is all about striving to achieve something despite obstacles or repeated failures. To achieve a specific goal, oftentimes, one has to be able to persevere, to press on, despite repeated failures and obstacles.
How do I go about Training for Algorithm and Data Structure job interviews on Sikademy?
The questions and programs solved in this Algorithm and Data Structure preparation resources are organized into subject-specific areas of specialization ranging across technical, straight-forward, and some brainstorming questions.
These questions have been curated from a wide range of discussion portals, interviewees who had undergone similar job recruitment process, and recruiters.
The most ideal approach to solving these puzzles is to focus on the data provided while developing a structured approach.
Most importantly, you must be able to explain your approach to the interviewer.
Tips for Getting the Most out of this Algorithm and Data Structure Job Training on Sikademy
Study and attempt each question carefully before viewing the correct answer.
Do not memorize the program, questions, or answers, rather, understand the concept and approach used in solving each problem. That way, when the question is asked in a different format, you will be able to answer easily.
Study at your own pace. Do not try to rush through the training. Remember, what matters most is your ability to analyze and think critically. The key is not in the completion of each activity, but the knowledge gained in the process of learning. So, take a step back and relax a bit when you feel tired or overwhelmed and come back to it.
When you perform poorly in live quizzes and mock tests, do not give up or be discouraged. Failure is part of the learning process. Simply dust it off and try again, again, and again until you succeed entirely on your standard. On the other hand, when you perform exceptionally well, we recommend you enjoy the moment and strongly advise you to continue practicing and learning.
It is important to know that despite giving our solutions to the programs, you can do things differently. If the question is theoretical, you may not always be wrong and we may not always be right. With this in mind, if you strongly feel that your answer is correct, do not hesitate to let us know and we will instantly review and update it as soon as possible.
Report errors found in questions and/or answers when encountered. Not only will this be beneficial to us in debugging our system, but it will also help us serve you better by providing correct results especially during the mock test and live quizzes on Sikademy.
Do not forget to recommend these Algorithm and Data Structure training resources for job interviews and recruitment to others if it helps you.
Feel free to reach out to us if you run into any technical issues or have a question about these job interview preparation resources. We will get back to you as soon as we receive it.
Helpful Tips When Preparing for an Algorithm and Data Structure Job Interview and Recruitment
Make the fundamental part of your resume about Algorithms and Data Structure to stand out.
Study and prepare yourself for a possible Algorithms and Data Structures Coding round.
Be yourself and be ready to discuss the projects and skills mentioned in your resume.
Keep yourself updated with the latest trends in Technology especially with one that has to do with Algorithm and Data Structure.
Always ask for and receive help wherever required. The interviewer will opt to help you. Do not be a know-it-all.
Bear in mind that an ideal interview is both-sided. It should be a discussion.
How to Tackle Data Structure and Algorithm Coding Round In a Job Interview
Put a lot of effort into understanding the problem very well. A well-understood problem is already a half-solved problem.
Search for possible follow-up questions to ask the interviewer.
Start by designing the basic solution.
Improve time and space complexity.
Writing the pseudo-code and checking boundary conditions.
Write the code if required in the programming language required (If no programming language is stated, write in the programming language you're most fluent in we suggest Java, C, or C++).
When required to work in teams, strive to participate as a team member, do your best and try to help others. But, do not do everything alone or work on your own.
Lastly, always ask for clarification to properly understand the problem and the requirements. Do not make assumptions.
Areas to be Covered in Algorithms and Data Structures Job Interview & Recruitment
The questions might vary from one candidate to another, however, they revolve around some particular topics in algorithms and data structure. Here are the areas that will likely be asked.
Backtracking is used to solve problems recursively by building a solution incrementally, one piece at a time, and removing those solutions that fail to satisfy the constraints of the problem at any point in time.
Array and Linked-List
Array and Linked list are used to store linear data of similar types but the major difference between them is related to their structure.
Binary Search Tree
Binary Search Tree combines the efficiency of the insertion of a Linked List and the quick search of a sorted array.
A binary tree is a tree data structure in which each node has at most two children, which are referred to as the left child and the right child.
Complexity analysis is a technique to characterize the time taken by an algorithm to input size (independent from the machine, language, and compiler).
Dynamic Programming is used to solve a problem by breaking down into smaller sub-problems and storing the solution to each sub-problem so that each sub-problem is only solved once.
Graphs are used to represent, find, analyze, and optimize connections between elements like locations, users, etc.
A greedy algorithm is a simple, intuitive algorithm that is used in optimization problems.
Hash Table is an important Data Structure that is used to map a given value with a particular key for faster access to elements.
Heap and Priority Queue
A Heap is an array implementation of a complete binary tree where each node satisfies the heap-property.
Iteration and Two Pointer Approach
Iteration is a fundamental programming idea that is commonly used in writing programs.
Recursion and Divide & Conquer Approach
Recursive thinking is an important attribute of programming that helps to formulate the solution of a problem via the solution of its smaller sub-problems.
Stack and Queue
Stack and Queue are a linear data structure that follows the LIFO (Last In First Out) and FIFO (First In First Out) principle respectively.
Advanced Data Structure and Miscellaneous topics
This page will contain some of the advanced Data Structures and algorithms like B-tree, AVL Tree, Augmentation, String Matching, Sorting in linear time, and Randomized Algorithms.
Ready to start your job recruitment training and job interview preparation exercise?
I hope these algorithm and data structure training resources will help you in cracking the Algorithms and Data Structures Job Interview and Recruitment.
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Keep this in mind: If you are in the business of making something, do the best you can. All progress towards success takes place outside the comfort zone. Being successful in whatever you do takes one thing: pertinacity.
Good luck and Happy Learning :)
From Archangel and the Sikademy Team.