|
via Udemy |
Go to Course: https://www.udemy.com/course/20-essential-data-structures-coding-interview-questions-in-java-python/
Certainly! Here's a comprehensive review and recommendation for the Coursera course based on the provided details: --- **Course Review and Recommendation: Mastering Data Structures & Algorithms for Coding Interviews on Coursera** Are you preparing for technical interviews at top tech companies like Google, Apple, Facebook, Microsoft, or other Big N and GAFA firms? If so, this course offers an in-depth, practical approach to mastering data structures and algorithms with a focus on coding interview questions from scratch in Java or Python. **Course Overview:** This course is designed to help aspiring software engineers build a strong foundation in data structures (arrays, hashmaps, strings, linked lists, binary trees, recursion) and algorithm coding problems. With 20 carefully selected interview questions, the course simulates real-world interview scenarios, guiding you from problem conceptualization to optimized solution implementation. **Who is this course for?** - Developers aiming to land jobs at Big 4/Big N companies who are unsure about where to start. - Current engineers feeling stuck and wanting to level up their coding interview skills. - Those transitioning careers or switching jobs and needing targeted interview preparation. - Programmers with at least 3 months of coding experience in Java or Python who have not yet mastered key data structures. - Learners eager to understand problem-solving deeply through visualizations, pseudocode, and discussions instead of rote memorization. **Who should NOT take this course?** - Experienced coders confident in their data structures and algorithm knowledge. - Developers not planning to change jobs or focus on interview preparation. - Beginners unfamiliar with Java or Python. **What will you learn?** - Practical application of data structure fundamentals in coding. - Visualizing and conceptualizing abstract problems with diagrams and pseudocode. - Writing clean, efficient code in Java and Python. - Debugging and testing solutions. - Analyzing code for time and space complexities using Big-O notation. **Unique Strengths of the Course:** 1. Taught by an experienced software engineer who has aced challenging interviews at Microsoft and has over 6 years of industry experience across North America and Europe. 2. Solutions provided in both Java and Python, catering to developers familiar with either language. 3. Questions are ordered from easy to difficult, with similar solution patterns grouped together for easier learning. 4. The instructor shares personal interview experiences at major tech giants, providing insights beyond just coding. 5. Emphasis on problem visualization and pseudocode to enhance understanding. 6. Covers both optimal solutions and brute-force alternatives to deepen learning. 7. Special focus on the pre-coding conceptualization process, including diagrams to clarify complex ideas. 8. Access to the instructor’s thought process, coding routines, and debugging strategies. 9. Explicit lessons on analyzing the Big-O complexity of your solutions. **Verdict:** This course is highly recommended for aspiring software engineers serious about excelling in coding interviews. It’s especially valuable if you prefer learning through visual explanations, pseudocode, and real-world experience sharing. The instructor’s detailed approach and multi-language solutions make it a comprehensive toolkit for interview preparation. **Final Recommendation:** If you meet the prerequisites and are committed to enhancing your coding interview skills, this course will significantly boost your confidence and readiness to succeed at top tech companies. Whether you're aiming for a career switch or career growth, investing time in this course is a strategic move toward achieving your goals. --- Feel free to ask if you'd like a shorter summary or personalized advice!
If I summarize this course in one sentence?Learn data structure & algorithm (array, hashmap, string, linked list, binary tree, recursion) coding interview questions from scratch in Java or Python and prepare for your next job interviews at GAFA, Big N, etc.☆Please check preview videos to see if this course is really for you☆Are you one of the below?You want to get a job at Big 4 (GAFA) or Big N but don't know where to startYou feel stuck at current developer jobYou want to switch your job but don't know how to prepare for technical coding questionsYou want to practice data structure and algorithm coding questionsWho should take this courseyou are not satisfied with current job and want to grow as an engineeryou don't know how to go about learning and practicing coding interview questionsyou have coding experience in Java or Python for at least 3 monthsyou have never solved data structure coding questions in Array, HashMap, String, Linked List, Binary Tree, or Recursionyou want to learn ins and outs of coding questions from a senior software engineer working for an US company in SFyou want to practice and improve coding question skillsyou want to review fundamentals of computer science (coding, data structure, algorithms)you want to have deep understanding of abstract problems using diagrams, illustrations, pseudocode instead of memorizing solution codewho should NOT need to take this courseyou already know a lot of data structure coding questions for Array, HashMap, String, Linked List, Binary Tree, or Recursionyou have a lot of experience and confidence in technical interview questionsyou are not planning on switching a job or learning data structureyou have never done coding in Java or PythonIn this course, you will tackle 20 coding interview questions.With these 20 questions, you will learn:to apply the fundamentals of data structure concepts (Array, HashMap, String, Linked List, Binary Tree, or Recursion) into codehow to conceptualize and visualize abstract problemshow to write and come up with pseudocode algorithmscoding skills in Java and Pythonhow to debug and test codehow to analyze code for Big-O runtime and space complexity9 Reasons why you should take this course:1. Instructed by a Software Engineer working for US company in SFI have passed one of the most challenging technical coding interviews at Microsoft. With 6+ industry experience in both North America and Europe, I breakdown and explain questions using diagrams, illustrations, pseudocode, instead of just throwing you a solution code.2. Solution code in Java and PythonYou usually don't find a solution in multiple languages. Catered for Java backend developers and Python developers. Also beneficial if you know one of them but also want to learn the other.3. Questions are ordered by difficulty and solution pattern relevanceQuestions are organized and ordered from easy to difficult, and also those using similar solution approaches are grouped together, hence making it easier for you to associate seemingly different questions.4. Sharing my coding interview experiences at Microsoft, Google, Facebook, Intel, Adobe, etcCoding interview is not just coding. I cover pre-work before coding such as conceptualizing & visualizing abstract problems, pseudocode、coding, testing, and Big-O analysis.5. Clear prerequisite skillsSyntax cheatsheets are available so beginner coders can gauge their skill sets.6. You learn two solution patterns in one questionNot only the optimal solutions but also brute-force anti-patterns are covered.7. Focused on pre-coding conceptualization processSpecial efforts have been paid for visualizing abstract concepts. I even explain looping through objects with diagrams so you know how variable values change, as if you do break-point debugging on IDE.8. You can have sneak-peek over senior software engineer's codingMy coding routine, how I define corder/edge cases, how I code/test and how I think while coding, everything is revealed.9. Big-O runtime and space complexity analysisYou will be asked to analyze your own algorithm and code you write. So I explain Big-O in each question.My background & Education & Career experienceHave interviewed at Microsoft, Google, Apple, Facebook, Intel, Adobe, etcCloud DevOps Software Engineer with 6+ years experienceBachelor of Science in Computing Science from a Canadian universityKnows data structure, algorithms, design patterns wellKnows Java, C#, C++, Bash, Python, JavaScript, Terraform, IaCExpert in AWS (holds AWS DevOps Professional certification) and Kubernetes (holds Certified Kubernetes Administrator, CKA)I will see you inside!