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Inside Code
Preparing for coding problems? Competitive programming? Then this course will help you for sure: 50 well-chosen problems to increase your problem-solving skills.
Read more
Preparing for coding problems? Competitive programming? Then this course will help you for sure: 50 well-chosen problems to increase your problem-solving skills.
Read more
Preparing for coding problems? Competitive programming? Then this course will help you for sure: 50 well-chosen problems to increase your problem-solving skills.
Many algorithms concepts covered: dynamic programming, divide and conquer, memoization, backtracking...
And many data structures used: arrays, hashmaps, sets, trees, stacks...
And also, time and space complexity analysis is provided for every problem.
Register for this course and see more details by visiting:
OpenCourser.com/course/7vdlux/50
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Develops coding problem-solving skills
Covers concepts like dynamic programming and backtracking, which are in demand
Appropriate for intermediate learners aiming to prepare for coding challenges and competitive programming
Provides time and space complexity analysis for each problem, fostering a deeper understanding of code efficiency
Taught by instructors from Inside Code, who specialize in coding problem-solving
Could benefit from more hands-on practice with interactive materials
Save this course
Save 50 popular coding interview problems to your list so you can find it easily later:
Save
Save
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 50 popular coding interview problems with these
activities:
Review basic data structures and algorithms before starting the course.
Show steps
Refresh your knowledge of fundamental concepts to ensure a smoother transition into dynamic programming. Review arrays, hashmaps, sets, trees, and stacks.
Browse courses on
Data Structures
Show steps
-
Go through your notes or textbooks from previous courses.
-
Solve practice problems involving basic data structures and algorithms.
Organize a study group with peers to discuss and solve problems together.
Show steps
Collaborate with fellow learners to reinforce concepts, exchange ideas, and tackle challenges, fostering a deeper understanding of dynamic programming.
Browse courses on
Problem Solving
Show steps
-
Find a group of peers who are also taking the course or interested in dynamic programming.
-
Establish a regular meeting schedule.
-
Take turns presenting problems and leading discussions.
Complete the coding challenges in the course textbook or online LeetCode sessions.
Show steps
Challenge yourself to solve coding problems with increasing complexity, developing your problem-solving skills and reinforcing algorithmic concepts.
Browse courses on
Dynamic programming
Show steps
-
Go through the coding challenges provided in the course textbook, starting with the simplest ones.
-
If you get stuck, seek help from online forums or discussion boards.
-
Time yourself to improve your efficiency.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore additional video tutorials and online resources on dynamic programming.
Show steps
Supplement your learning by seeking out and following tutorials that focus on practical application and implementation of dynamic programming techniques.
Browse courses on
Dynamic programming
Show steps
-
Identify online platforms or YouTube channels that offer comprehensive tutorials on dynamic programming.
-
Choose a specific tutorial that aligns with your learning goals.
-
Follow the instructions and practice the coding examples.
Participate in online coding competitions that focus on dynamic programming.
Show steps
Challenge yourself in a competitive environment to improve your problem-solving skills and test your mastery of dynamic programming concepts.
Browse courses on
Competitive Programming
Show steps
-
Identify online coding competition platforms that offer dynamic programming challenges.
-
Register for competitions and practice solving problems in a timed environment.
-
Analyze your performance and learn from your mistakes.
Offer assistance to fellow students in online forums or discussion boards.
Show steps
Sharpen your understanding by assisting others with their queries. Engage in discussions, provide guidance, and clarify concepts to solidify your own knowledge.
Browse courses on
Mentoring
Show steps
-
Join online forums or discussion boards related to dynamic programming.
-
Monitor the forums for questions from other learners.
-
Provide thoughtful responses, offering explanations and solutions.
Develop a software application or tool that demonstrates the application of dynamic programming.
Show steps
Deepen your understanding by applying dynamic programming principles to real-world scenarios. Design and implement a functional tool or application to showcase your skills.
Browse courses on
Software Development
Show steps
-
Identify a problem or task that can be solved efficiently using dynamic programming.
-
Design the architecture and algorithms for your application.
-
Implement your design in a programming language of your choice.
-
Test and refine your application to ensure it works correctly and efficiently.
Review basic data structures and algorithms before starting the course.
Show steps
Refresh your knowledge of fundamental concepts to ensure a smoother transition into dynamic programming. Review arrays, hashmaps, sets, trees, and stacks.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Go through your notes or textbooks from previous courses.
- Solve practice problems involving basic data structures and algorithms.
Organize a study group with peers to discuss and solve problems together.
Show steps
Collaborate with fellow learners to reinforce concepts, exchange ideas, and tackle challenges, fostering a deeper understanding of dynamic programming.
Browse courses on
Problem Solving
Show steps
Show steps
Show steps
- Find a group of peers who are also taking the course or interested in dynamic programming.
- Establish a regular meeting schedule.
- Take turns presenting problems and leading discussions.
Complete the coding challenges in the course textbook or online LeetCode sessions.
Show steps
Challenge yourself to solve coding problems with increasing complexity, developing your problem-solving skills and reinforcing algorithmic concepts.
Browse courses on
Dynamic programming
Show steps
Show steps
Show steps
- Go through the coding challenges provided in the course textbook, starting with the simplest ones.
- If you get stuck, seek help from online forums or discussion boards.
- Time yourself to improve your efficiency.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore additional video tutorials and online resources on dynamic programming.
Show steps
Supplement your learning by seeking out and following tutorials that focus on practical application and implementation of dynamic programming techniques.
Browse courses on
Dynamic programming
Show steps
Show steps
Show steps
- Identify online platforms or YouTube channels that offer comprehensive tutorials on dynamic programming.
- Choose a specific tutorial that aligns with your learning goals.
- Follow the instructions and practice the coding examples.
Participate in online coding competitions that focus on dynamic programming.
Show steps
Challenge yourself in a competitive environment to improve your problem-solving skills and test your mastery of dynamic programming concepts.
Browse courses on
Competitive Programming
Show steps
Show steps
Show steps
- Identify online coding competition platforms that offer dynamic programming challenges.
- Register for competitions and practice solving problems in a timed environment.
- Analyze your performance and learn from your mistakes.
Offer assistance to fellow students in online forums or discussion boards.
Show steps
Sharpen your understanding by assisting others with their queries. Engage in discussions, provide guidance, and clarify concepts to solidify your own knowledge.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Join online forums or discussion boards related to dynamic programming.
- Monitor the forums for questions from other learners.
- Provide thoughtful responses, offering explanations and solutions.
Develop a software application or tool that demonstrates the application of dynamic programming.
Show steps
Deepen your understanding by applying dynamic programming principles to real-world scenarios. Design and implement a functional tool or application to showcase your skills.
Browse courses on
Software Development
Show steps
Show steps
Show steps
- Identify a problem or task that can be solved efficiently using dynamic programming.
- Design the architecture and algorithms for your application.
- Implement your design in a programming language of your choice.
- Test and refine your application to ensure it works correctly and efficiently.
Career center
Learners who complete 50 popular coding interview problems will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists analyze data to extract meaningful insights and help businesses make better decisions. This course can help you develop the skills needed to succeed as a Data Scientist, such as problem-solving, analytical thinking, and data analysis techniques.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help you develop strong technical skills such as algorithm design, data structures, and programming languages.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. This course can help you develop the skills needed to succeed as a Machine Learning Engineer, such as problem-solving, analytical thinking, and machine learning techniques.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. This course can help you develop the skills needed to succeed as a Quantitative Analyst, such as problem-solving, analytical thinking, and data analysis techniques.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make better decisions. This course can help you develop the skills needed to succeed as a Data Analyst, such as problem-solving, analytical thinking, and data analysis techniques.
Computer Scientist
Computer Scientist
Computer Scientists conduct research and develop new computing technologies. This course can help you develop the skills needed to succeed as a Computer Scientist, such as problem-solving, analytical thinking, and programming languages.
Actuary
Actuary
Actuaries use mathematical and statistical models to assess risk and uncertainty. This course can help you develop the skills needed to succeed as an Actuary, such as problem-solving, analytical thinking, and data analysis techniques.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical models to help businesses make better decisions. This course can help you develop the skills needed to succeed as an Operations Research Analyst, such as problem-solving, analytical thinking, and data analysis techniques.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to help businesses make investment decisions. This course can help you develop the skills needed to succeed as a Financial Analyst, such as problem-solving, analytical thinking, and data analysis techniques.
Management Consultant
Management Consultant
Management Consultants help businesses improve their performance. This course can help you develop the skills needed to succeed as a Management Consultant, such as problem-solving, analytical thinking, and data analysis techniques.
Business Analyst
Business Analyst
Business Analysts analyze business processes to identify areas for improvement. This course can help you develop the skills needed to succeed as a Business Analyst, such as problem-solving, analytical thinking, and data analysis techniques.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems. This course can help you develop the skills needed to succeed as a Cloud Architect, such as problem-solving, cloud technologies, and data security.
Product Manager
Product Manager
Product Managers develop and manage software products. This course can help you develop the skills needed to succeed as a Product Manager, such as problem-solving, analytical thinking, and understanding user needs.
Web Developer
Web Developer
Web Developers design and develop websites. This course can help you develop the skills needed to succeed as a Web Developer, such as problem-solving, programming languages, and user experience design.
Database Administrator
Database Administrator
Database Administrators design and manage databases. This course can help you develop the skills needed to succeed as a Database Administrator, such as problem-solving, database technologies, and data security.
For more career information including salaries, visit:
OpenCourser.com/course/7vdlux/50
Reading list
We've selected eight 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
50 popular coding interview problems.
Save
This classic textbook on algorithms provides a comprehensive and in-depth treatment of the subject. It covers a wide range of topics, including sorting, searching, and graph algorithms, and offers a strong theoretical foundation for understanding algorithms.
As a comprehensive textbook on algorithms, this book provides a thorough foundation in the theoretical underpinnings of computer science. It covers a wide range of topics, including searching, sorting, and graph theory. While not specifically tailored to coding interviews, it offers a deep understanding of algorithms, which is essential for solving complex programming problems.
Is specifically designed for competitive programmers and covers advanced algorithm techniques and problem-solving strategies. It provides a comprehensive overview of topics such as dynamic programming, graph algorithms, and number theory.
Focuses on the practical aspects of algorithm design, providing a step-by-step process for developing efficient algorithms. It covers various algorithm paradigms, such as dynamic programming and greedy algorithms, with a particular emphasis on problem-solving techniques.
Contains practice problems at a wide range of difficulties, making it useful for both beginner and advanced software engineers. It covers commonly asked coding interview questions, including dynamic programming and divide-and-conquer algorithms. While it does not provide in-depth explanations of the concepts behind each algorithm, it must-have resource for anyone preparing for a coding interview.
Provides a comprehensive overview of data structures and algorithms, with a focus on Python implementation. It covers a wide range of topics, including linked lists, trees, and graphs, and offers a practical approach to problem-solving using Python code.
Provides a practical guide to data structures and the Java Collections Framework. It covers essential data structures, such as arrays, linked lists, and hash tables, and explains how to use the Java Collections Framework to effectively manage and manipulate data.
Takes a unique approach to teaching algorithms by using visual representations and everyday analogies. It covers essential algorithm concepts, including recursion, sorting, and dynamic programming, in a way that is easy to understand.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/7vdlux/50
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Time
8 hours
Via
Udemy
Instructor
Inside Code
Good to know
Develops coding problem-solving skills
Covers concepts like dynamic programming and backtracking, which are in demand
Appropriate for intermediate learners aiming to prepare for coding challenges and competitive programming
Provides time and space complexity analysis for each problem, fostering a deeper understanding of code efficiency
Taught by instructors from Inside Code, who specialize in coding problem-solving
Could benefit from more hands-on practice with interactive materials
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