Master the Coding Interview: Data Structures + Algorithms

Ultimate coding interview bootcamp. Get more job offers, negotiate a raise: Everything you need to get the job you want!

4.67 (35273 reviews)
Udemy
platform
English
language
Software Engineering
category
instructor
Master the Coding Interview: Data Structures + Algorithms
219,625
students
20 hours
content
Mar 2024
last update
$119.99
regular price

What you will learn

Ace coding interviews given by some of the top tech companies

Become more confident and prepared for your next coding interview

Learn, implement, and use different Data Structures

Learn, implement and use different Algorithms

Get more interviews

Professionally handle offers and negotiate raises

Become a better developer by mastering computer science fundamentals

Why take this course?

🌟 **Master the Coding Interview: Data Structures & Algorithms** 🌟 --- ### Course Headline: **Ultimate Coding Interview Bootcamp** Get more job offers, negotiate a raise - Everything you need to get the job you want! 🚀 --- ### Course Description: **Updated for the 2023 hiring season!** Dive into an immersive learning experience with Master the Coding Interview: Data Structures & Algorithms. This course is your golden ticket to acing the coding interviews at top tech companies like Google, Microsoft, Meta, Netflix, and Amazon. Say goodbye to the anxiety and confusion that come with coding interview questions. With Andrei Neagoie's expert guidance, you'll unlock the secrets to success in these high-stakes tests. **Why This Course?** - **Taught by an Expert:** Andrei Neagoie is a seasoned senior developer who has navigated the Silicon Valley and Toronto tech scenes. His real-world experience as both an interviewee and interviewer will provide you with insider knowledge. - **Community Support:** Gain access to a vibrant online community of over 900,000 developers where you can ask questions, share experiences, and get the help you need to succeed. - **Comprehensive Curriculum:** This course covers all the essential technical concepts and non-technical interview skills necessary for a successful interview process. **Technical Skills You'll Master:** - 📈 **Big O Notation:** Understand algorithmic efficiency like a pro. - 🤖 **Data Structures:** Master arrays, hash tables, linked lists (singly and doubly), queues, stacks, trees (BST, AVL & Red Black Trees, Binary Heaps), and tries. - 🔍 **Algorithms:** Learn recursion, sorting, searching, tree traversal (BFS, DFS), dynamic programming, and more. **Non-Technical Skills You'll Develop:** - 🎯 Landing more interviews with ease. - 🗣️ Knowing what to do and say during interviews. - 🚀 Understanding the steps to take after an interview. - 💰 Learning how to negotiate your salary and get a raise. **Who This Course Is For:** This course is designed for developers who want to bridge the gap between self-taught skills and formal computer science education. Whether you're looking to level up your technical knowledge or sharpen your interview techniques, this course provides the tools you need to succeed. --- **Instructor Profile:** Andrei Neagoie is not just another instructor; he's a pioneer in making programming education accessible and effective for everyone. With his background as a self-taught programmer and his experience working with Fortune 500 companies, startups, and even founding his own business, Andrei brings a wealth of knowledge to the table. His approach to teaching is rooted in educational psychology and practical coding experience, ensuring that students learn efficiently and effectively. --- **Why Choose This Course?** - **Comprehensive and Affordable:** No need for expensive bootcamps; this course offers a solid foundation in data structures & algorithms at a fraction of the cost. - **Real-Life Skills:** Learn skills that are not only applicable in interviews but also in your day-to-day coding tasks. - **Exponential Learning:** With Andrei's structured approach, you'll build upon your knowledge from the ground up, ensuring that you understand complex concepts before moving on to more advanced topics. --- **Join us inside the courses and transform your coding interview journey from stressful to successful!** 🎉 Don't miss out on this opportunity to elevate your career and command the tech industry with confidence. Enroll in Master the Coding Interview: Data Structures & Algorithms today! 🎓

Screenshots

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Our review

🌟 **Overall Course Rating:** 4.66/5 **Pros:** - 🎓 **Beginner-Friendly:** The course is well-suited for beginners, with content described as good for those starting their journey in data structures and algorithms (DSA). - 🚀 **Quality Instruction:** Andrei, the instructor, receives high praise for his teaching style, clarity, and ability to break down complex topics into understandable segments. - 💡 **Comprehensive Material:** The course material is reportedly impressive, with detailed explanations and examples that cater to the comprehension of listeners/viewers. - 🤝 **Community Engagement:** Positive feedback on the ZTM community experience, highlighting the usefulness of Discord servers and their organized channels. - 🎉 **Motivational Approach:** Andrei's motivational teaching approach is consistently highlighted as a key factor in student engagement and motivation. - ✅ **Confidence Boost:** Many students report increased confidence in solving technical challenges and applying for interviews after completing the course. - 📚 **Real-World Application:** The course helps build a solid foundation in DSA, with students feeling prepared to tackle coding interview rounds with more confidence. - 🌐 **Global Appeal:** The course content is recognized as valuable across different regions, with one student specifically mentioning the profundity of topics and the existing structure that enhances the course's impact. - 🙌 **Recommendations for CSE Students:** The course is recommended to CS students for better foundational knowledge in DSA. **Cons:** - 🚫 **Advertisements and Redundancy:** Some students point out the presence of advertisements within the course and suggest that some materials may be unimportant or redundant, particularly for those with a background in CS. - 🛠️ **Dynamic Programming Focus:** A recommendation to expand the Dynamic Programming section, as caching represents only a smallest part of it. - 🚀 **Overly Slow Pacing:** Some feedback indicates that the course takes too long to get to the point, with content that could be taught in a shorter time frame. - 🎫 **Portfolio and Open Source Contribution Advice:** A controversial piece of advice suggesting that beginners should immediately engage with complex open source projects or create substantial portfolios is met with skepticism and criticism from more experienced students. - ⏰ **Long Windedness:** One student specifically notes that what could be a 5 to 10-minute teaching segment takes over an hour, indicating a need for conciseness in delivery. - 🌍 **Language Considerations:** While the English used in the course is praised for being slow and clear, some students may prefer content tailored to non-native speakers. **General Feedback:** - The course is well-received overall, with a strong emphasis on its suitability for beginners and the effectiveness of Andrei's teaching methods. - The course structure is commended for its step-by-step approach and the comprehensive nature of its content. - Some areas for improvement are noted, such as removing advertisements, streamlining certain topics, and adjusting career advice to better suit different levels of student experience. **Conclusion:** This course appears to be a valuable resource for beginners looking to gain a solid foundation in data structures and algorithms. With high-quality instruction and a supportive community, it is highly recommended for those starting their DSA journey. However, students with more advanced knowledge may find the course too basic or lengthy in some areas. It's important for prospective students to align the course's content with their current skill level before enrolling to ensure the most beneficial learning experience.

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Related Topics

1917546
udemy ID
9/17/2018
course created date
6/9/2019
course indexed date
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