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100 Algorithms Challenge

Dylan Israel

4.2

Based on 279 ratings

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Dylan Israel

Technical interviews are the filter between good and great developers. At least that is how the industry sees it. In this course we will up your problem solving ability and speed with 100 algorithm problems and solutions.

These questions are some of the most common ones asked in interviews. A portion are questions that come from companies like Google, Facebook, Uber, Amazon etc.

By the end of the course you will be:

These questions are some of the most common ones asked in interviews. A portion are questions that come from companies like Google, Facebook, Uber, Amazon etc.

By the end of the course you will be:

Have a handle on higher order functions in JavaScript
Understand the basics of TypeScript
Have a 100 algorithm portfolio item
Be ready to ace the JavaScript technical interview

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What's inside

Learning objectives

Master commonly asked interview questions
Practice dozens of different challenges and build a 100 algorithm portfolio piece

Be prepared for the next technical interview
Use javascript & typescript to solve challenging algorithms

Master commonly asked interview questions
Practice dozens of different challenges and build a 100 algorithm portfolio piece
Be prepared for the next technical interview
Use javascript & typescript to solve challenging algorithms

Syllabus

Introduction

Whats the 100 Algorithms Challenge? Who Am I?

Objective Setup

My Tools

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores algorithms and problem-solving, which are necessary skills for software engineering and development

Taught by Dylan Israel, an experienced software engineer and instructor

Develops core skills for acing technical interviews in JavaScript and TypeScript, which are highly sought-after programming languages

Offers a variety of challenges and real-world examples to enhance practical skills

Provides a structured approach to algorithm learning, building a strong foundation for intermediate developers

May require some prior experience with JavaScript and TypeScript

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Reviews summary

Algorithm practice for tech interviews

According to learners, this course offers a solid foundation in solving algorithm problems, particularly geared towards technical interview preparation. Many found the problems well-chosen and challenging, providing ample practice. The lectures often introduce concepts and provide solutions. Some noted that a basic understanding of JavaScript and algorithms is beneficial before starting. While the volume of problems is a key feature, a few reviews suggest that the explanations could sometimes be more in-depth.

Assumes some prior JS/algorithm knowledge.

"It helps to have a foundational understanding of JavaScript before tackling these problems."

"Beginners might find it challenging without prior algorithm exposure."

"Not for absolute beginners, recommends familiarity with basic data structures."

Focuses heavily on coding practice.

"The hands-on coding and projects are the strongest part of the course for me."

"Loved the focus on actually writing the code and testing the solutions."

"It's all about grinding through problems, which is exactly what I needed."

Provides a large set of relevant problems.

"100 problems is a great challenge and covers a wide range of concepts."

"The selection of algorithm problems feels very relevant to actual interviews."

"Good problems to practice with, sufficient quantity to build confidence."

Excellent for technical interview prep.

"The course is a great way to sharpen your algorithm skills specifically for coding interviews."

"Really helped me prepare for my technical interviews by working through common problems."

"A must-do if you're aiming for big tech companies and need practice on interview questions."

Explanations could be more detailed.

"While the solutions are provided, sometimes I wished for a deeper dive into the thought process or alternative approaches."

"The explanations are sometimes a bit brief for complex problems."

"Could use more in-depth coverage on edge cases or optimization techniques."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in 100 Algorithms Challenge with these activities:

Review JavaScript Fundamentals

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Refreshing your JavaScript fundamentals will strengthen your foundation for learning more advanced concepts.

Browse courses on JavaScript Fundamentals

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Review online resources or textbooks covering JavaScript basics.
Practice writing simple JavaScript programs to reinforce your understanding.

Join a JavaScript Study Group

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Engaging with peers in a study group will provide opportunities to discuss concepts, ask questions, and enhance your learning.

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Find or create a study group with fellow JavaScript learners.
Meet regularly (e.g., weekly) to discuss course topics, work on projects, and provide feedback.

Practice 10 JavaScript Algorithm Problems

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Solving JavaScript algorithm problems will strengthen your understanding of core concepts and prepare you for coding interviews.

Browse courses on Problem Solving

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Select 10 JavaScript algorithm problems from reliable sources.
Set aside 45 minutes for solving the problems.
Attempt to solve the problems independently using the knowledge gained from the course.
Check your solutions against provided answers or discuss them with peers.

Four other activities

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Explore Advanced JavaScript Concepts via Online Tutorials

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Supplementing your course knowledge with online tutorials will broaden your understanding of JavaScript's advanced capabilities.

Browse courses on JavaScript

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Identify online tutorials covering advanced JavaScript concepts (e.g., closures, generators, modules).
Set aside 60 minutes for exploring the tutorials.
Follow the tutorials, take notes, and experiment with the concepts.

Compile Resources for JavaScript Algorithm Optimization

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Curating resources on JavaScript algorithm optimization will enhance your understanding of techniques for improving code efficiency.

Browse courses on Performance Improvement

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Search online for articles, tutorials, and documentation on JavaScript algorithm optimization techniques.
Categorize and organize the resources into a structured document.
Include examples and best practices for implementing these optimization techniques.

Participate in a JavaScript Coding Competition

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Participating in a coding competition will challenge you to apply your JavaScript skills under time pressure, fostering problem-solving and critical-thinking abilities.

Browse courses on Problem Solving

Show steps

Find a suitable JavaScript coding competition (e.g., on platforms like HackerRank or LeetCode).
Set aside 120 minutes for the competition.
Solve as many problems as possible within the given time frame.
Review your performance and identify areas for improvement.

Develop a JavaScript Web Application Using TypeScript

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Building a web application will reinforce your understanding of JavaScript and TypeScript concepts, while showcasing your skills.

Browse courses on TypeScript

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Design the application's architecture and user interface.
Implement the front-end using JavaScript and TypeScript.
Create a back-end using a suitable technology (e.g., Node.js).
Integrate the front-end and back-end components.
Test and deploy the application.

Career center

Learners who complete 100 Algorithms Challenge will develop knowledge and skills that may be useful to these careers:

Algorithm Engineer

This course is highly recommended for Algorithm Engineers as it provides a comprehensive introduction to the field. It covers a wide range of algorithms, from basic to advanced, helping one to build a strong foundation in algorithm design and analysis. Moreover, the course also provides hands-on experience in implementing and testing algorithms, which is crucial for success in this role.

See salaries and explore the career path for Algorithm Engineer

Machine Learning Engineer

This course is highly recommended for Machine Learning Engineers as it provides a solid foundation in the underlying algorithms that power machine learning models. It covers a range of algorithms, from basic to advanced, helping one to develop a strong understanding of their strengths and limitations. Furthermore, the course gives one hands-on experience in implementing these algorithms, which is essential for building and deploying successful machine learning applications.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers ought to take this course because it provides a solid foundation in algorithms and problem solving. These are essential skills for designing, developing, and maintaining software systems. Additionally, the course gives one real-time practice in applying these concepts to a variety of programming challenges. This course can significantly strengthen your ability to overcome difficult programming challenges in real-world settings.

See salaries and explore the career path for Software Engineer

Computer Programmer

Computer Programmers may find this course beneficial as it offers a solid foundation in programming fundamentals, as well as advanced concepts like algorithms and data structures. The course emphasizes problem-solving through real-world challenges, which is essential for this role. By mastering the concepts taught in this course, you will be well-equipped to write efficient and effective code.

See salaries and explore the career path for Computer Programmer

Data Scientist

Data Scientists can benefit from this course It provides a solid foundation in problem-solving and data analysis. It covers a range of algorithms and data structures, as well as practical experience in applying these techniques to real-world problems. By mastering the skills taught in this course, you will be well-equipped to extract insights from data and make informed decisions.

See salaries and explore the career path for Data Scientist

Technical Architect

Technical Architects can benefit from this course as it provides a solid foundation in the underlying algorithms and data structures used in software systems. It covers a range of topics, including operating systems, databases, and cloud computing. By mastering these concepts, you will be well-equipped to design and implement scalable and efficient software solutions.

See salaries and explore the career path for Technical Architect

Quant Analyst

Quant Analysts may find this course beneficial as it provides a strong foundation in algorithms and data structures. It covers a range of topics relevant to quantitative finance, including time series analysis, optimization, and risk management. By mastering these concepts, you will be well-equipped to handle the complex challenges faced in this industry.

See salaries and explore the career path for Quant Analyst

Computer Science Teacher

The 100 Algorithms Challenge course can be a valuable resource for Computer Science Teachers. This course empowers one to build a strong understanding of algorithms and their applications, both of which are essential for teaching computer science effectively. Moreover, the course's focus on problem-solving and logical thinking will equip one to engage students and foster their interest in the field.

See salaries and explore the career path for Computer Science Teacher

IT Consultant

IT Consultants can benefit from this course as it provides a broad understanding of algorithms and data structures. It covers a range of topics relevant to IT consulting, such as database management, networking, and cloud computing. By mastering these concepts, you will be well-equipped to provide comprehensive advice to your clients and help them solve their business problems.

See salaries and explore the career path for IT Consultant

Data Analyst

Data Analysts can benefit from this course because it offers hands-on experience in solving complex algorithms. This is a critical skill for this occupation because it enables one to easily analyze data and extract insights that drive better decision making. Additionally, the course offers a deeper understanding of JavaScript and TypeScript, which are essential programming languages for data analysis.

See salaries and explore the career path for Data Analyst

Web Developer

For Web Developers, this course provides a solid foundation in programming fundamentals and problem-solving skills. It covers a range of essential algorithms and data structures used in web development, such as sorting, searching, and graph traversal. By mastering these concepts, you will be able to write more efficient and maintainable code for your web applications.

See salaries and explore the career path for Web Developer

Software Developer

This course may be useful for Software Developers as it provides a solid foundation in programming fundamentals, as well as essential problem-solving skills. It will help you develop a deeper understanding of algorithms and how to apply them to real-world programming challenges.

See salaries and explore the career path for Software Developer

Research Scientist

Research Scientists may find this course useful as it dives deep into advanced algorithm design and analysis techniques. It covers a wide range of topics, including dynamic programming, graph algorithms, and approximation algorithms. By mastering these concepts, you will be well-equipped to conduct rigorous research and make significant contributions to your field.

See salaries and explore the career path for Research Scientist

Product Manager

For Product Managers, this course provides valuable insights into the underlying algorithms and data structures that power modern software products. By understanding these concepts, you will be able to make more informed decisions about product design and development, and effectively communicate with your engineering team.

See salaries and explore the career path for Product Manager

Business Analyst

Business Analysts may find this course useful as it provides a solid foundation in problem-solving and data analysis techniques. By mastering the concepts taught in this course, you will be well-equipped to gather and analyze data, identify inefficiencies, and develop solutions that improve business processes.

See salaries and explore the career path for Business Analyst

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in 100 Algorithms Challenge.

The Art of Computer Programming, Volume 4B

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This monumental work comprehensive reference on the design and analysis of algorithms, and it is essential reading for anyone who wants to deeply understand the field of algorithms.

Slipcase for The Art of Computer Programming,...

Kindle Edition

$$$

Cracking the Coding Interview

Save

Popular resource for preparing for technical interviews, and it includes a wide range of programming questions and solutions that are similar to those that you may encounter in the 100 Algorithms Challenge course.

100 Algorithms Challenge

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Algorithm practice for tech interviews

Activities

Career center

Reading list

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