Real-world projects from industry experts
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Learn Data Structures and Algorithms
Nanodegree Program
Get hands-on practice with over 100 data structures and algorithm exercises and technical mentor support when needed to help prepare you for interviews and on-the-job scenarios.
01Days06Hrs51Min06Sec
Estimated time
4 Months
At 10 hrs/week
Enroll by
March 22, 2023
Get access to classroom immediately on enrollment
Prerequisites
Python and Basic Algebra
What you will learn
Data Structures & Algorithms
4 months to completeIn this course you will learn data structures and algorithms by solving 80+ practice problems. You will begin each course by learning to solve defined problems related to a particular data structure and algorithm. By the end of each course, you would be able to evaluate and assess different data structures and algorithms for any open-ended problem and implement a solution based on your design choices.
Prerequisite knowledge
Python & Basic Algebra.
Introduction
Get an overview of your program. Meet your instructors, and refresh your Python skills. Learn the framework to deconstruct any open-ended problem and then understand the concepts of time and space complexity.
Data Structures
Learn different data structures that can be used to store data. Implement different methods used to manipulate these data structures and examine the efficiency. Understand the advantages and applications of different data structures. Learn how to approach open ended problems (either in interview or real-world) and select appropriate data structures based on requirements.
Basic Algorithms
Learn and implement basic algorithms such as searching and sorting on different data structures and examine the efficiency of these algorithms. Use recursion to implement these algorithms and then learn how some of these algorithms can be implemented without recursion. Practice selecting and modifying these algorithms for a variety of interview problems.
Advanced Algorithms
Build on your algorithm skills by learning more advanced algorithms such as brute-force greedy algorithms, graph algorithms, and dynamic programming which optimizes recursion by storing results to sub problems.
All our programs include
Technical mentor support
Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.
Career services
You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
Flexible learning program
Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Program offerings
Class content
- Real-world projects
- Project reviews
- Project feedback from experienced reviewers
Student services
- Technical mentor support
- Student community
Career services
- Github review
- Linkedin profile optimization
Succeed with personalized services.
We provide services customized for your needs at every step of your learning journey to ensure your success.
- Experienced Project Reviewers
- Technical Mentor Support
Get timely feedback on your projects.
- Personalized feedback
- Unlimited submissions and feedback loops
- Practical tips and industry best practices
- Additional suggested resources to improve
1,400+ project reviewers
2.7M projects reviewed
88/100 reviewer rating
1.1 hours avg project review turnaround time
Learn with the best.
Learn with the best.
Brynn Claypoole
InstructorBrynn is a former Udacity employee who worked as Lead Data Analyst at Udacity before joining Facebook as Data Engineer. Currently, she is working as software engineer with 10x Genomics.
Abe Feinberg
Content DeveloperAbe is a Content Developer at Udacity and previously taught university courses in psychology and computer science. He loves both learning and teaching, and has a particular passion for breaking down difficult concepts and making them easier to master.
Kyle Stewart-Franz
Content DeveloperKyle has developed projects for a variety of Udacity's Nanodegree programs, such as Self-Driving Car Engineer, Robotics, and Blockchain. Kyle, a self-taught developer, is always striving towards creating great learning experience for students.
Data Structures & Algorithms
Get started today
Learn
Ace technical coding interviews.
Average Time
On average, successful students take 4 months to complete this program.
Benefits include
- Real-world projects from industry experts
- Technical mentor support
- Career services
Program details
Program overview: Why should I take this program?
Why should I enroll?
Whether you want to be a web developer, a machine learning engineer, or a data scientist, having a deep understanding of Data Structures and Algorithms is essential to acing job interviews and becoming a successful software engineer. As Linus Torvalds famously said, "Bad programmers worry about the code. Good programmers worry about data structures and their relationships".
The Data Structures and Algorithms Nanodegree program will help you excel at solving everything from well-defined problems, like how to calculate the efficiency of a specific algorithm, to more open-ended problems, like building your own private blockchain or writing a web-crawler.
You’ll work on over 80 exercises and four real-world projects so that you can get the hands-on practice required to learn how to implement appropriate solutions based on your design choices.
What jobs will this program prepare me for?
While this course is not designed to prepare you for a specific job, after completing this program, you will have had extensive practice solving data structures and algorithm problems to help you prepare for the data structures and algorithms part of coding interviews.
How do I know if this program is right for me?
If you are looking to improve your skills in data structures and algorithms -- to prepare for the technical portion of job interviews, to improve your software engineering skills, etc. -- then this Nanodegree program will provide you with extensive practice with defined and open-ended problems so that you learn how to implement the appropriate solution based on your design choices.
Who built this Nanodegree program?
This Nanodegree program was a collaboration between Udacity’s content and engineering teams, as well as industry experts.
Curriculum Advisors
- Mat Leonard, Product Lead, School of AI at Udacity
Instructors
- Brynn Claypoole, Software Engineer at 10x Genomics
- Kyle Stewart Frantz, Content Developer at Udacity
- Abe Feinberg, Content Developer at Udacity
Other Udacity Contributors:
- Dane Hammer, Robin Robin, James Bibby, Pradeep Uppala, Brok Bucholtz, Cezanne Camacho, Alan Anderson, Peiyan, David Harris, Stephen Welch, and Chris Gearhart
Enrollment and admission
Do I need to apply? What are the admission criteria?
There is no application. This Nanodegree program accepts everyone, regardless of experience and specific background.
What are the prerequisites for enrollment?
To optimize your chances of success in the Data Structures and Algorithms Nanodegree program, you should have the following knowledge:
Intermediate Python programming
Basic algebra
If I do not meet the requirements to enroll, what should I do?
If you are new to programming, we recommend the Introduction to Programming Nanodegree program.
Tuition and term of program
How is this Nanodegree program structured?
The Data Structures and Algorithms Nanodegree program is comprised of content and curriculum to support four (4) projects. We estimate that students can complete the program in four (4) months working 10 hours per week.
Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
How long is this Nanodegree program?
Access to this Nanodegree program runs for the length of time specified above. If you do not graduate within that time period, you will continue learning with month-to-month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.
Can I switch my start date? Can I get a refund?
Please see the Udacity Program FAQs for policies on enrollment in our programs.
Software and hardware: What do I need for this program?
What software and versions will I need in this program?
Software/version requirements:
- Python 3
- A code/text editor, such as vim, Sublime Text, Atom, or VSCode
- A web browser
- A command line interface, such as Terminal (on Mac) or Git Bash (on Windows)
Hardware Requirements:
A modern personal computer running macOS, Windows, or Linux, with a high-speed Internet connection.