20 Essential Coding Interview Questions in Java and Python

🚀 Course Title: 20 Essential Coding Interview Questions in Java and Python

🎓 Course Headline: Learn Data Structure & Algorithm Technical Coding Interview Questions Asked at GAFA (Array, HashMap, LinkedList, Tree, Recursion) in Java or Python!

Course Overview:

If I summarize this course in one sentence? Learn data structure & algorithm coding interview questions from scratch in Java or Python and prepare for your next job interviews at GAFA, Big N, etc.

Who should take this course?

• You're aiming to get a job at Big 4 (GAFA) or Big N but feeling lost on where to start.
• You feel stuck in your current developer role.
• You want to switch jobs and need guidance on preparing for technical coding questions.
• You're looking to practice data structure and algorithm coding questions.
• You're a beginner coder trying to understand the necessary prerequisite skills.
• You aim to learn two solution patterns simultaneously.
• You're interested in understanding the pre-coding conceptualization process with diagrams and visualizations.
• You want to observe the coding routine of a senior software engineer.
• You wish to master Big-O runtime and space complexity analysis of your algorithms.

What you'll gain:

1. Instructor Expertise: Taught by a seasoned Software Engineer with 6+ years of experience in North America and Europe, who has passed technical coding interviews at top tech companies.
2. Multiple Language Solutions: Solutions provided in both Java and Python, beneficial for developers working with either language or looking to learn the other.
3. Progressive Difficulty: Questions organized from easy to difficult, with similar solution approaches grouped together for easier learning.
4. Real-world Experiences: Insights into the coding interview process at Microsoft, Google, Facebook, Intel, Adobe, etc.
5. Clear Prerequisites: Syntax cheatsheets for beginners to assess their coding skill level.
6. Comprehensive Pattern Coverage: Each question covers not one but two solution patterns – optimal solutions and brute-force anti-patterns.
7. Focus on Conceptualization: Special emphasis on visualizing abstract concepts with diagrams, akin to debugging in an IDE.
8. Transparent Coding Process: A glimpse into how a senior software engineer approaches problem-solving, defines edge cases, and writes code.
9. Big-O Analysis: Detailed explanations of Big-O to help you analyze your algorithms' efficiency.

🧠 Your Instructor's Background & Education:

• Interviewed at Microsoft, Google, Apple, Facebook, Intel, Adobe, etc.
• Cloud DevOps Software Engineer with 6+ years of experience.
• Bachelor of Science in Computing Science from a Canadian university.
• Proficient in Java, C#, C++, Bash, Python, JavaScript, Terraform, and IaC.
• Holds AWS DevOps Professional certification and Certified Kubernetes Administrator (CKA).

💡 Why This Course? This course is designed to give you a comprehensive understanding of how to tackle coding interviews effectively. By learning through real-world examples, diagrams, and hands-on practice, you'll not only understand the concepts but also be able to apply them in a dynamic coding environment. Whether you're aiming to land a job at a top tech company or simply looking to enhance your coding skills, this course will equip you with the tools and knowledge you need for success.

🌟 Special Highlights:

• Learn from an instructor with direct experience in passing rigorous technical interviews.
• Gain insights into the pre-coding stages of problem-solving.
• Practice coding with a focus on both optimal solutions and understanding anti-patterns.
• Understand complex concepts through clear, visual explanations.
• Master the analysis of algorithmic efficiency with Big-O notation.

Join us to elevate your coding skills and prepare for the challenges of technical interviews! 🌟