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Robert Horvick
In this course, you will look at the core data structures and algorithms that are the building blocks of applications everywhere. You will learn how they work and see real-world examples that you can apply to your next project.
Read more
In this course, you will look at the core data structures and algorithms that are the building blocks of applications everywhere. You will learn how they work and see real-world examples that you can apply to your next project.
Read more
In this course, you will look at the core data structures and algorithms that are the building blocks of applications everywhere. You will learn how they work and see real-world examples that you can apply to your next project.
Do you want to learn the core algorithms and data structures used in software development? This course is for you! In this course, Algorithms and Data Structures - Part 1, you will learn foundational knowledge of several common data structures and associated algorithms. First, you will learn about arrays and the asymptotic analysis of algorithms. Next, you will discover several data structures including linked lists, stacks, queues, binary search trees, and hash tables. Finally, you will explore how to modify a real-world application to use these data structures to improve usability and increase performance while reducing the amount of code. When you’re finished with this course, you will have the skills and knowledge of fundamental data structures and their algorithms needed to know when to use them in your own software development.
Register for this course and see more details by visiting:
OpenCourser.com/course/llndw6/algorithms
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What's inside
Syllabus
Course Overview
Storing and Accessing Data
Linked Lists
Stacks and Queues
Read more
Syllabus
Course Overview
Storing and Accessing Data
Linked Lists
Stacks and Queues
Read more
Binary Search Trees
Hash Tables
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines core data structures and algorithms commonly used in software development
Builds a strong foundation for understanding data structures and algorithms
Taught by Robert Horvick, an experienced instructor
Covers a wide range of data structures, including arrays, linked lists, stacks, queues, binary search trees, and hash tables
Emphasizes practical applications of data structures and algorithms
May be suitable for beginners seeking a foundation in data structures and algorithms
Save this course
Save Algorithms and Data Structures - Part 1 to your list so you can find it easily later:
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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 Algorithms and Data Structures - Part 1 with these
activities:
Read 'Introduction to Algorithms' by Cormen, Leiserson, Rivest, and Stein
Show steps
Gain a comprehensive understanding of data structures and algorithms from a classic textbook.
View
Introduction to Algorithms, fourth edition
on Amazon
Show steps
-
Read the textbook thoroughly
-
Solve the exercises and practice problems
-
Discuss the concepts with classmates or a mentor
Solve LeetCode problems on data structures and algorithms
Show steps
Strengthen your understanding of data structures and algorithms by solving LeetCode problems.
Browse courses on
Data Structures
Show steps
-
Choose a LeetCode problem related to data structures and algorithms
-
Analyze the problem and design a solution
-
Implement your solution in a programming language
-
Submit your solution and review the feedback
Attend a study group or join a coding club
Show steps
Connect with peers, share knowledge, and enhance your learning through group discussions.
Browse courses on
Data Structures
Show steps
-
Find a study group or join a coding club
-
Attend regular meetings and actively participate
-
Collaborate with others on projects and exercises
Five other activities
Expand to see all activities and additional details
Show all eight activities
Participate in a coding competition focused on data structures and algorithms
Show steps
Test your skills and learn from others by participating in a coding competition.
Browse courses on
Data Structures
Show steps
-
Find a coding competition that aligns with your skill level
-
Prepare for the competition by practicing and honing your skills
-
Participate in the competition and give your best effort
-
Review your performance and identify areas for improvement
Implement algorithms to a real-world project
Show steps
Improve your proficiency in using data structures and algorithms by applying them to a hands-on project.
Browse courses on
Data Structures
Show steps
-
Identify a suitable project
-
Design an algorithm and data structure for your project
-
Implement your algorithm and data structure in a programming language
-
Test and refine your implementation
Follow tutorials on advanced data structures and algorithms
Show steps
Expand your knowledge of data structures and algorithms by following guided tutorials on advanced topics.
Browse courses on
Data Structures
Show steps
-
Identify an advanced topic in data structures or algorithms
-
Find a reputable tutorial on the topic
-
Follow the tutorial and complete the exercises
-
Apply what you learned to your own projects
Attend a workshop on advanced data structures and algorithms
Show steps
Learn from experts and engage in hands-on activities to deepen your understanding of advanced data structures and algorithms.
Browse courses on
Data Structures
Show steps
-
Research and find a relevant workshop
-
Register and attend the workshop
-
Actively participate in the activities and discussions
-
Apply what you learned to your own projects
Create a data structure visualization tool
Show steps
Enhance your understanding of data structures by creating a tool to visualize their behavior.
Browse courses on
Data Structures
Show steps
-
Choose a data structure to visualize
-
Design the user interface of your tool
-
Implement the visualization algorithms
-
Test and refine your tool
Read 'Introduction to Algorithms' by Cormen, Leiserson, Rivest, and Stein
Show steps
Gain a comprehensive understanding of data structures and algorithms from a classic textbook.
View
Introduction to Algorithms, fourth edition
on Amazon
Show steps
Show steps
Show steps
- Read the textbook thoroughly
- Solve the exercises and practice problems
- Discuss the concepts with classmates or a mentor
Solve LeetCode problems on data structures and algorithms
Show steps
Strengthen your understanding of data structures and algorithms by solving LeetCode problems.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Choose a LeetCode problem related to data structures and algorithms
- Analyze the problem and design a solution
- Implement your solution in a programming language
- Submit your solution and review the feedback
Attend a study group or join a coding club
Show steps
Connect with peers, share knowledge, and enhance your learning through group discussions.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Find a study group or join a coding club
- Attend regular meetings and actively participate
- Collaborate with others on projects and exercises
Five other activities
Expand to see all activities and additional details
Show all eight activities
Participate in a coding competition focused on data structures and algorithms
Show steps
Test your skills and learn from others by participating in a coding competition.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Find a coding competition that aligns with your skill level
- Prepare for the competition by practicing and honing your skills
- Participate in the competition and give your best effort
- Review your performance and identify areas for improvement
Implement algorithms to a real-world project
Show steps
Improve your proficiency in using data structures and algorithms by applying them to a hands-on project.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Identify a suitable project
- Design an algorithm and data structure for your project
- Implement your algorithm and data structure in a programming language
- Test and refine your implementation
Follow tutorials on advanced data structures and algorithms
Show steps
Expand your knowledge of data structures and algorithms by following guided tutorials on advanced topics.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Identify an advanced topic in data structures or algorithms
- Find a reputable tutorial on the topic
- Follow the tutorial and complete the exercises
- Apply what you learned to your own projects
Attend a workshop on advanced data structures and algorithms
Show steps
Learn from experts and engage in hands-on activities to deepen your understanding of advanced data structures and algorithms.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Research and find a relevant workshop
- Register and attend the workshop
- Actively participate in the activities and discussions
- Apply what you learned to your own projects
Create a data structure visualization tool
Show steps
Enhance your understanding of data structures by creating a tool to visualize their behavior.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Choose a data structure to visualize
- Design the user interface of your tool
- Implement the visualization algorithms
- Test and refine your tool
Career center
Learners who complete Algorithms and Data Structures - Part 1 will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
A Software Engineer designs and builds computer systems and applications. The work requires understanding complex problems and translating them into sets of instructions that a computer can follow. Algorithms and Data Structures - Part 1 can help Software Engineers understand the common data structures and algorithms used by computer software, and also how to apply them to actual software development.
Software Developer
Software Developer
Software Developers build, test, and maintain computer software, including applications, web applications, and mobile apps. Knowledge of algorithms and data structures helps them design and build these applications efficiently. Algorithms and Data Structures - Part 1 can help Software Developers enhance their knowledge of these concepts and improve their ability to design better software applications.
Computer Scientist
Computer Scientist
Computer Scientists design and develop new computer systems and applications. They need to understand the algorithms and data structures used in these systems to ensure that they are efficient and effective. Algorithms and Data Structures - Part 1 can help Computer Scientists build a foundation in these concepts and enhance their ability to design and develop innovative computer systems and applications.
Systems Analyst
Systems Analyst
Systems Analysts analyze an organization's current systems and procedures and design new systems to meet the organization's needs. They need to understand the algorithms and data structures used in these systems to ensure that they are efficient and effective. Algorithms and Data Structures - Part 1 can help Systems Analysts improve their understanding of these concepts and enhance their ability to design better systems.
Database Administrator
Database Administrator
Database Administrators oversee the storage, organization, and retrieval of data in an organization's database management system. They need to understand the algorithms and data structures used in these systems to ensure that data is stored and retrieved efficiently. Algorithms and Data Structures - Part 1 can help Database Administrators improve their understanding of these concepts and perform their duties more effectively.
Mobile Application Developer
Mobile Application Developer
Mobile Application Developers design and build mobile applications for smartphones and tablets. They need to understand the algorithms and data structures used in these applications to ensure that they are efficient and effective. Algorithms and Data Structures - Part 1 can help Mobile Application Developers improve their understanding of these concepts and enhance their ability to design and build better mobile applications.
Web Developer
Web Developer
Web Developers design and build websites and web applications. They need to understand the algorithms and data structures used in these applications to ensure that they are efficient and effective. Algorithms and Data Structures - Part 1 can help Web Developers improve their understanding of these concepts and enhance their ability to design and build better web applications.
Game Developer
Game Developer
Game Developers design and build video games for computers, consoles, and mobile devices. They need to understand the algorithms and data structures used in these games to ensure that they are efficient and effective. Algorithms and Data Structures - Part 1 can help Game Developers improve their understanding of these concepts and enhance their ability to design and build more engaging and immersive game experiences.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help organizations make informed decisions. They need to understand the algorithms and data structures used in data analysis to ensure that they are efficient and effective. Algorithms and Data Structures - Part 1 can help Data Analysts improve their understanding of these concepts and enhance their ability to perform data analysis more effectively.
IT Architect
IT Architect
IT Architects design and build the information technology infrastructure for an organization. They need to understand the algorithms and data structures used in these systems to ensure that they are efficient and effective. Algorithms and Data Structures - Part 1 can help IT Architects improve their understanding of these concepts and enhance their ability to design and build better IT infrastructure.
Cloud Architect
Cloud Architect
Cloud Architects design and build cloud computing solutions for organizations. They need to understand the algorithms and data structures used in these systems to ensure that they are efficient and effective. Algorithms and Data Structures - Part 1 can help Cloud Architects improve their understanding of these concepts and enhance their ability to design and build better cloud computing solutions.
Security Engineer
Security Engineer
Security Engineers design and implement security measures to protect an organization's computer systems and networks. They need to understand the algorithms and data structures used in these systems to ensure that they are secure and effective. Algorithms and Data Structures - Part 1 can help Security Engineers improve their understanding of these concepts and enhance their ability to design and implement better security measures.
Systems Engineer
Systems Engineer
Systems Engineers design, install, and maintain computer systems and networks. They need to understand the algorithms and data structures used in these systems to ensure that they are efficient and effective. Algorithms and Data Structures - Part 1 can help Systems Engineers improve their understanding of these concepts and enhance their ability to design and maintain better computer systems and networks.
Technical Program Manager
Technical Program Manager
Technical Program Managers lead and manage the development of computer software and systems. They need to understand the algorithms and data structures used in these systems to ensure that they are efficient and effective. Algorithms and Data Structures - Part 1 can help Technical Program Managers improve their understanding of these concepts and enhance their ability to lead and manage software development projects more effectively.
DevOps Engineer
DevOps Engineer
DevOps Engineers combine software development and IT operations to improve the speed and efficiency of software delivery. They need to understand the algorithms and data structures used in these systems to ensure that they are efficient and effective. Algorithms and Data Structures - Part 1 can help DevOps Engineers improve their understanding of these concepts and enhance their ability to deliver software faster and more efficiently.
For more career information including salaries, visit:
OpenCourser.com/course/llndw6/algorithms
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
Algorithms and Data Structures - Part 1.
Classic textbook on algorithms and data structures. It covers a wide range of topics, from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about algorithms and data structures.
Popular textbook on data structures and algorithms in Java. It covers a wide range of topics, from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about data structures and algorithms in Java.
Popular textbook on data structures and algorithms in Python. It covers a wide range of topics, from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about data structures and algorithms in Python.
Popular textbook on data structures and algorithms in R. It covers a wide range of topics, from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about data structures and algorithms in R.
Popular textbook on data structures and algorithms in JavaScript. It covers a wide range of topics, from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about data structures and algorithms in JavaScript.
Classic textbook on algorithms. It covers a wide range of topics, from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about algorithms.
Concise and accessible introduction to algorithms. It covers a wide range of topics, from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about algorithms.
Classic textbook on data structures and algorithm analysis in C++. It covers a wide range of topics, from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about data structures and algorithm analysis in C++.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/llndw6/algorithms
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Time
146 hours
Level
Introductory
Via
Pluralsight
Instructor
Robert Horvick
Language
English
Good to know
Examines core data structures and algorithms commonly used in software development
Builds a strong foundation for understanding data structures and algorithms
Taught by Robert Horvick, an experienced instructor
Covers a wide range of data structures, including arrays, linked lists, stacks, queues, binary search trees, and hash tables
Emphasizes practical applications of data structures and algorithms
May be suitable for beginners seeking a foundation in data structures and algorithms
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