Udacity - Data Structures & Algorithms [MP4]

Download Udacity - Data Structures & Algorithms [MP4] 
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Data Structures and Algorithms 


Get hands-on practice with over 80 data structures and algorithm exercises and guidance from a dedicated mentor to help prepare you for interviews and on-the-job scenarios. 

Learn fundamental software engineering skills. 


4 Months 

At 10 hrs/week 


August 14, 2019 

Get access to classroom immediately on enrollment 


Python and Basic Algebra 

To optimize your chances of success in the Data Structures and Algorithms Nanodegree program, you should have Intermediate Python programming knowledge and Basic algebra knowledge. 
If you are new to programming, we recommend the Introduction to Programming Nanodegree program. 

Data Structures & Algorithms 

In 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. 

4 months to complete 


Python & Basic Algebra.See detailed requirements. 

- Welcome 

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. 



If you are new to programming, we recommend the Introduction to Programming Nanodegree program. 

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Data Structures and Algorithms questions are a key component of every technical interview for software engineers 

All Our Nanodegree 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. 

1-on-1 technical mentor 

Get a knowledgeable mentor who guides your learning and is focused on answering your questions, motivating you and keeping you on track. 

Personal career coach and career services 

You’ll have access to career coaching sessions, interview prep advice, and resume and online professional profile reviews to help you grow in your career. 

Flexible learning program 

Get a custom learning plan tailored to fit your busy life. Along with easy monthly payments you can learn at your own pace and reach your personal goals. 

Learn with the best 

Brynn Claypoole 


Brynn 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 


Abe 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 


Kyle 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. 

Program Details 


- 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. 

- 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 


- 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 

- 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. 


- How is this Nanodegree program structured? 

The Data Structures and Algorithms Nanodegree program is comprised of content and curriculum to support four (4) projects. Once you subscribe to a Nanodegree program, you will have access to the content and services for the length of time specified by your subscription. 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 in your subscription plan. See the Terms of Use and FAQ for other policies around the terms of access to our Nanodegree programs. 

- Can I get a refund? 

Please see the Udacity Nanodegree program FAQs found here for policies on enrollment in our programs. 


- 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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