Learn Data Structures and Algorithms
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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.
Estimated time
4 Months
At 10 hrs/week
Enroll by
April 26, 2023
Get access to classroom immediately on enrollment
Skills acquired
Basic Algorithms, Recursive Algorithms, Python Data Structures
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
Real-world projects from industry experts
With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
Real-time support
On demand help. Receive instant help with your learning directly in the classroom. Stay on track and get unstuck.
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
- Student community
- Real-time support
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
- Real-Time 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.
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.
Top student reviews
Sam L.
The program is good but I don't think it's worth the money. I got this one on 75% discount. I would never pay full price. There are similar courses out there for a fraction of the cost. The feedback from real people is certainly helpful but I am the kind of person that can learn on their own from videos and don't benefit much from having real people support me.
I originally did the Intro to CompSci course in 2014. The videos, quizes and projects are great. But again, I cannot justify the price. Also, having a certificate or not does not really help me as I already have a degree in CompSci.
I do look forward to doing more of the free material on Udacity. If you offer 90% discounts I would consider buying more nanodegrees but otherwise it's too expensive.
For instance, if you want a review on your project you could head over to https://codereview.stackexchange.com or other free and open communities for that.
Gabriel C.
I just finished the first part (of 4) of the course. It covered a bit of big O notation and problem solving. I got some useful tips from the latter, but I think I will see their value moving forward. For Big O notation it was good as an intro and I hope there will be more about it.
I also took a refresher on Python basics which I enjoyed very much.
The project for this part was relatively short but nice for reasoning about solutions and complexity. The code review was also a high point of the experience. I got to improve some of my ways of working thanks to the review :)
Overall I'm satisfied and I look forward to continuing the course, in the knowledge that this kind of material grows on you as you apply them to everyday software development projects.
Muhammed Imran H.
I am writing code before I know basic data structures and I also gained couple of years working experience too. On the time being I come to know that how important it is to apply right data structures and algorithm to solve a problem. For lack of knowledge I was not that good which is why I was not confident at the same time.
After this course I found I wrote many programme which can be solved efficiently with using proper data structures and algorithm. I was not thinking much about complexity and use better data structure/algorithm but now I think twice or more before writing any piece of code.
Christopher S.
I'm really enjoying the program. I love the jupyter notebook exercises and the learn by doing approach. However I have found some of the exercises extremely time consuming requiring alot of research outside of Udacity to arrive at a solution. This especially applied to the Recursion section for me.
I thought the first project was a great warmup too and would really help people delve more into Python and give them a general sense of where their coding ability needs to be at to progress smoothly with the rest of the course.
Aaron A.
It's met and exceeded my expectations -- I am very happy with it, and have learned a lot.
Time expectations set by how long each section says it'll take could be improved. Transparency is always a great thing, and some sections say "this will take a few hours" and have taken me days if not weeks.
There are also more than a few typos in the content -- wanted to avoid seeming negative by pointing them out each time.
I will recommend this program and celebrate on social media once I complete it: great work!
Neringa B.
I have learnt a lot theory and gained practical skills. Though one can not completely trust estimated time for each section because, for example, one lesson in section 2 with estimated time of 3 hours took a looooooot longer than another lesson in section 4, and when I say longer, I mean longer 5 times if you really want to learn the topic.. It maybe really misleading for scheduling time to learn
Data Structures & Algorithms
Get started today
Monthly access
Pay as you go
Enroll now¥ 42679
per month- Maximum flexibility to learn at your own pace.
- Cancel anytime.
4-Month access
Pay upfront and save an extra 14%
Enroll now¥ 145116
¥ 170716
for 4-Month access- Save an extra 14% vs. pay as you go.
- 4 months is the average time to complete this course.
- Switch to monthly price after if more time is needed.
- Cancel anytime.
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
- Real-time classroom 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.
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