Nanodegree Program

Data Structures & Algorithms Foundation

Develop your Algorithmic thinking skill. Master the data structures and algorithms used in this various computational problems.

ENROLLMENT CLOSING IN
  • Skill Covered
    List Based CollectionsMaps and HashingTreesGraphsComplex Data Structures and Algorithms
    + MORE
  • Job Opportunities
    An important skill to crack any tech job interview
    + MORE
  • Prerequisites
    No Prior Programming experience required
    + MORE
  • Classroom opens
    07 June 2018
    Duration
    2 months We recommend 10 hrs / week
  • Skill Covered
    List Based CollectionsMaps and HashingTreesGraphsComplex Data Structures and Algorithms
    + more
  • Job Opportunities
    An important skill to crack any tech job interview
    + more
  • Prerequisites
    No Prior Programming experience required
    + more
  • Classroom opens
    7 June 2018
    Duration
    2 months We recommend 10 hrs / week

Why take this Nanodegree Program

Data Structures and Algorithms is an important skill to master irrespective of the programming language you master. A strong foundation of understanding these concepts is important if you are looking for career in programming field. In this Nanodegree Program, you will learn about arrays, linked lists, binary trees, hash tables, graphs, stacks, queues, heaps, and other fundamental data structures. You will also explore famous computer science problems like shortest path problem and knapsack problem. After the graduation, you will all set to ace your next technical interview and have clearer thought process towards writing your codes or problem-solving approach.


Why take this Nanodegree Program

Most common technical interview skill

1000+ jobopportunities created
80+ Hiring partnersonboard
40 lac+ Highestannual CTC offered

What You Will Learn

Intermediate

What are you going to learn

Become an expert in problem-solving and learn how to implement various data structures in to your problems. You will learn about algorithms such as searching, sorting, hashing, trees in one of the most popular programming language and strengthen your foundations to excel at your dream job interview.

See fewer details

2 months to complete

Prerequisite Knowledge

Basic Python Programming & AlgebraSee detailed requirements.

  • Introduction and Efficiency

    Start off with a basic introduction to topics covered in this course and the overall content structure, including an explanation of expected Python knowledge.

  • List Based Collections

    Learn the definition of a list in computer science, and see definitions and examples of list-based data structures, arrays, linked lists, stacks, and queues.

  • Maps and Hashing

    Understand the concepts of sets, maps (dictionaries), and hashing. Examine common problems and approaches to hashing, and practice with examples.

  • Trees

    Learn the concepts and terminology associated with tree data structures. Investigate tree types, such as binary search trees, heaps, and self-balancing trees.

  • Graphs

    Examine the theoretical concept of a graph and understand common graph terms, coded representations, properties, traversals, and paths.

  • Complex Data Structures and Algorithms

    Learn to solve a hard problem with the help of Dave Evans and you'll learn a systematic approach to solving hard computer programming problems as you do.you'll learn about sets, dictionaries and other Python data structures.

    Planning an Optimal Path

Learn with the best

Brynn Claypoole
Brynn Claypoole

Instructor

Brynn currently works as a Data Analyst for Udacity. In the past she was a coach for the Android Nanodegree, did bioinformatics research at the University of Pennsylvania, directed a thousand-person student hackathon called PennApps, and worked as an app developer and consultant for a number of startups. She holds a Bachelor of Applied Science in Computational Biology from the University of Pennsylvania.

Horatio Thomas
Horatio Thomas

Instructor

Horatio is both a Coach and a graduate of the Android Nanodegree Program as well as a former Android Code Reviewer. Horatio started using Udacity as a freshman in college, and used what he learned to get an internship at Walmart Corporate, organize programming workshops at his university and work on several start-ups. When Horatio is not teaching or hacking, he is skating the hills of San Francisco, traveling, lifting, reading, or sipping boba tea. Horatio holds a BBA in Management Information Systems from Temple University.

Start Learning
Intermediate
₹10300*

Data Structures and Algorithms Foundation

7 days refund; no questions asked
Total Seats: 120
Time to Complete: 2 months
Prerequisite: Basic Python Programming & Algebra

Admissions Closes: 07 June

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FAQ

    About the course
  • Why do I take up this Nanodegree?
    Data Structures and Algorithms is an important skill to master irrespective of the programming language you master. A strong foundation of understanding these concepts is important if you are looking for career in programming field. In this Nanodegree Program, you will learn about arrays, linked lists, binary trees, hash tables, graphs, stacks, queues, heaps, and other fundamental data structures. You will also explore famous computer science problems like shortest path problem and knapsack problem. After the graduation, you will all set to ace your next technical interview and have clearer thought process towards writing your codes or problem-solving approach.
  • What are prerequisites for this Nanodegree?
    Python Programming & Algebra
  • How is the Nanodegree Program Structured?
    This Nanodegree is of 2 months, which needs to be completed in the given time period. Your 2 months will start from the date you get access to your classroom.
  • Do you offer the opportunity for students to pause their studies for this program?
    No. The fixed-term nature of this Nanodegree program, and the need for maintaining a consistent and stable student body throughout, doesn't allow for offering the option to pause your studies.
  • Is this program self-paced?
    No. The start and end dates of this Nanodegree is fixed, and you must complete all assigned projects by the end dates. However, projects may be submitted at any time during the Nanodegree, and individual project deadlines are recommendations, not requirements. So within the Nanodegree, there is some opportunity to work at your own pace. You should plan to follow our recommended timeline, as this will best enable you to keep pace with your peers, and complete the program on time.
  • What kind of weekly time commitment should I expect?
    On average, we find students spending 10-12 hours per week throughout the entire Nanodegree, to complete this Nanodegree on time. This is an average so that some students may require more than the allotted time frame, or less.
  • Are deferments an option if I'm enrolled, but not ready to start yet?
    No, deferments are not an option. We ask that you, please make sure to only enroll for the Nanodegree if you can commit to the entire time frame.
  • What happens to my access to the content if I am unable to graduate within the term duration?
    Access to the content is locked if the student is unable to complete all their projects and graduate within the given term duration. This motivates the students to stay on track and finish the Nanodegree on time.
  • Do I lose access to this Nanodegree once I graduate?
    No, you will retain the access to your Nanodegree once you graduate.
  • Does this Nanodegree provide Mentorship?
    Yes, you will be provided mentors to guide you throughout the Nanodegree.
  • Does this Nanodegree offer any trial period?
    No, this Nanodegree does not contain any trial period. We do have seven days no questions asked refund policy. You can pay for your Nanodegree and ask for a refund within seven days from the date you get access to your classroom.
  • Do you provide Scholarship for this Nanodegree?
    No, Currently there is no scholarship available for this Nanodegree. We will let you know when we come up with a scholarship for this Nanodegree. For more information on scholarships, please write to scholarships@udacity.com.
    Career Services
  • What career services we provide?
    You do not become job ready on completion of Machine Learning Basic Nanodegree . You are required to complete Machine Learning Advance Nanodegree to become Industry and Job Ready.
  • What career services we provide?
    This is a foundation level course which will prepare you for the jobs of tomorrow
    Student Support
  • What is the kind of student support I will get during this program?
    Project Reviews: The Project reviews provide deep analysis of a student's code and project. Reviewers are trained professionals that provide feedback on coding styles, industry guidelines, optimization of the code and reference links for improving the project. Mentorship: Mentors are appointed to students that have one on one chats with them. They keep track of the progress in the course, Help them in time management and keep them motivated throughout the course.
  • How can I get in touch with Udacity for any support?
    Please write to india@udacity.com for faster response
    Payments & Refunds
  • Do we get 50% refund for this Nanodegree?
    No, We do not offer 50% refund on completing of this Nanodegree.
  • Does this Nanodegree follow seven days No Questions Asked refund policy?
    Yes, this Nanodegree follows seven days no questions asked refund policy.
  • If the refund is provided for this Nanodegree, How much time does the refund process take?
    The refund process takes up to 2-3 weeks of time. The amount will be refunded back to the original model of payment. If you would like to get the refund in a different bank account, please mention the same to india@udacity.com while requesting for a refund.
  • How do I get my invoice?
    Please write to india@udacity.com, It can take maximum upto 7 days for us to issue your invoice.
  • What if I do not receive my refund in 15-20 days?
    If you do not receive your refund within 15-20 days, please reach out to support@razorpay.com.

Data Structures & Algorithms Foundation

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