|
via Udemy |
Go to Course: https://www.udemy.com/course/algorithms-data-structures-coding-interviews-with-python/
Certainly! Here's a comprehensive review and recommendation for the Coursera course titled "Why do we need to know algorithm?": --- **Course Review: "Why do we need to know algorithm?"** This course offers an insightful introduction into the importance of algorithms and data structures, especially tailored for those in or aspiring to enter the IT and tech industry. It effectively bridges the gap between theoretical algorithm concepts and practical applications, making it highly relevant for modern software development and technical interviews. **Content and Structure** The course is divided into two parts. The first half focuses on the fundamentals of algorithms and data structures using Python, which is perfect for learners who already have some familiarity with Python programming. The explanations are clear and well-structured, making complex topics accessible to learners at various levels. The second half prepares students for the coding interview process by covering practical coding questions, which are invaluable for those aiming to work at top tech companies like Google, Facebook, or Amazon. **Strengths** - **Relevance:** The course emphasizes the real-world importance of algorithms, such as their role in powering search engines, autonomous vehicles, and scalable web services. - **Practical Focus:** The course prepares students for coding interviews, a critical component in the hiring process at major tech firms. - **Accessible for Intermediate Python Users:** If you're comfortable with Python basics, you'll be able to grasp the algorithm concepts effectively. - **Career Preparation:** The content is tailored to help learners succeed in competitive tech interviews and understand the significance of algorithmic efficiency in modern technology. **Who Should Take This Course?** - Aspiring software engineers aiming for roles in top tech companies. - IT professionals who want to strengthen their understanding of algorithms and data structures. - Students preparing for technical interviews. - Developers interested in understanding how scalable and efficient software systems are built. **Recommendations** I highly recommend this course for anyone looking to boost their technical interview skills and deepen their understanding of algorithms. It’s especially beneficial for learners with some Python experience who want to build confidence in solving algorithmic problems. The practical coding questions and clear explanations make it a valuable resource for career advancement in the competitive tech industry. **Final Thoughts** In a technology-driven world, knowing how to develop efficient algorithms is more than just an academic exercise—it's a vital skill that can significantly impact the performance and scalability of software solutions. This course is a solid investment in your professional growth, offering the knowledge and confidence needed to excel in technical interviews and develop high-performance applications. Happy learning! --- Would you like a shorter summary or a personalized recommendation based on your specific goals?
"Why do we need to know algorithm?"For those who are already working in the IT field, you may wonder why we need to know algorithm since you don't use it in your day to day tasks. Not everyone working in the IT field uses algorithms, but let's take a moment to think about why candidates applying for GAFA (Aka Google, Apple, Facebook, Amazon) are always asked interview questions regarding data structures and algorithms. What type of engineer do you want to be? As you may know, Google's search function and Tesla's automated driving require top quality performance and that wouldn't be possible without exceptional algorithm efficiency. Therefore, it's important for programmers to have the ability to write codes that can perform well. Of course, if you just want to create a small scale web page using a simple web framework, you won't need to know about algorithm. But services that are popular in our modern society today will face issues with scalability. At the initial stage of creating services, whether the algorithm runs properly or not may be main issue, but as time progresses, the amount of data increases and programmers will have to focus on how to process the data received in a timely manner. That's when the programmer's skills and knowledge are really put to the test.If you are considering working as an engineer in the Silicon Valley, in most cases (or perhaps all cases), you'll encounter a coding interview portion and without passing this portion of the interview, you won't be hired. Your soft skills may be looked at by the interviewer, but without a solid background and knowledge of algorithm, you won't be able to get the position. Why should I take this course? In the first half of this course, we'll be covering the basics of algorithms and data structures using Python. In the latter half, we'll be covering coding questions you may be asked during an actual interview. If you're familiar with the basics of Python, then you'll be able to understand the algorithms and data structures introduced in this course. By the end of this course, we hope you feel more confident and feel prepared to answer coding interview questions.Happy learning!