20 Essential Coding Interview Questions in Java and Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 182 lectures (4h 49m) | Size: 4.58 GB
Learn Data Structure & Algorithm technical coding questions asked at GAFA. Array, HashMap, LinkedList, Tree, Recursion. What you'll learn:
Learn most popular beginner's data structure coding questions in Java and Python to set a path to getting a job at FANG
Apply data structure knowledge in array, linked list, hashmap, tree, recursions into real coding questions
Learn to visualize abstract problems and design pseudocode algorithms
Learn to test and debug code to showcase your coding skill during interview
Understand Big-O notation and runtime and space complexity of algorithms to impress your interviewers
Train your brain muscles to pattern-recognition various coding questions
Requirements
Beginner level Java or Python coding experience
Beginner understanding of data structures (array, hashmap, string, linked list, tree, recursion)
Beginner algorithm knowledge
Description
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 start
You feel stuck at current developer job
You want to switch your job but don't know how to prepare for technical coding questions
You want to practice data structure and algorithm coding questions
Who should take this course
you are not satisfied with current job and want to grow as an engineer
you don't know how to go about learning and practicing coding interview questions
you have coding experience in Java or Python for at least 3 months
you have never solved data structure coding questions in Array, HashMap, String, Linked List, Binary Tree, or Recursion
you want to learn ins and outs of coding questions from a senior software engineer working for an US company in SF
you want to practice and improve coding question skills
you 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 code
who should NOT need to take this course
you already know a lot of data structure coding questions for Array, HashMap, String, Linked List, Binary Tree, or Recursion
you have a lot of experience and confidence in technical interview questions
you are not planning on switching a job or learning data structure
you have never done coding in Java or Python
In 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 code
how to conceptualize and visualize abstract problems
how to write and come up with pseudocode algorithms
coding skills in Java and Python
how to debug and test code
how to analyze code for Big-O runtime and space complexity
9 Reasons why you should take this course:
1. Instructed by a Software Engineer working for US company in SF
I 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 Python
You 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 relevance
Questions 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, etc
Coding 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 skills
Syntax cheatsheets are available so beginner coders can gauge their skill sets.
6. You learn two solution patterns in one question
Not only the optimal solutions but also brute-force anti-patterns are covered.
7. Focused on pre-coding conceptualization process
Special 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 coding
My 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 analysis
You will be asked to analyze your own algorithm and code you write. So I explain Big-O in each question.
My background & Education & Career experience
Have interviewed at Microsoft, Google, Apple, Facebook, Intel, Adobe, etc
Cloud DevOps Software Engineer with 6+ years experience
Bachelor of Science in Computing Science from a Canadian university
Knows data structure, algorithms, design patterns well
Knows Java, C#, C++, Bash, Python, JavaScript, Terraform, IaC
Expert in AWS (holds AWS DevOps Professional certification) and Kubernetes (holds Certified Kubernetes Administrator, CKA)
I will see you inside!
Who this course is for
Beginner computer science students learning data structures and algorithms courses in Java or Python
Junior or intermediate software developers/engineers looking to get a better job (like FANG or Big N)
Sophomore/junior/senior university students looking to get internship jobs
Any software engineers wanting to brush up their data structure knowledge
