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Data Structures and Algorithms

Nanodegree Program

Get hands-on practice with over 100 data structures and algorithm exercises and guidance from a dedicated mentor to help prepare you for interviews and on-the-job scenarios.

Get hands-on practice with over 100 data structures and algorithm exercises and guidance from a dedicated mentor to help prepare you for interviews and on-the-job scenarios.

Intermediate

3 months

Real-world Projects

Completion Certificate

Last Updated May 7, 2024

Skills you'll learn:
Python data structures • Basic algorithms • Python arrays • Python lists
Prerequisites:
Basic Python • Elementary algebra

Courses In This Program

Course 1 2 weeks

Introduction

Start with a warm welcome to the program by refreshing your Python skills and learning about problem solving and efficiency!

Lesson 1

Get Help with Your Account

What to do if you have questions about your account or general questions about the program.

Lesson 2

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Lesson 3

Introduction

Welcome to the Data Structures and Algorithms nanodegree program!

Lesson 4

Python Refresher

A quick refresh on Python basics!

Lesson 5

How to Solve Problems

A systematic way of approaching and breaking down problems.

Lesson 6

Efficiency

Understanding the importance of efficiency when working with data structures and algorithms.

Lesson 7 • Project

Unscramble Computer Science Problems

Deconstruct a series of open-ended problems into smaller components (e.g, inputs, outputs, series of functions).

Course 2 4 weeks

Data Structures

Learn about the core data structures used in programming.

Lesson 1

Introduction to Data Structures

Introduction to the Data Structures course.

Lesson 2

Arrays and Linked Lists

Learn about Arrays and Linked Lists

Lesson 3

Stacks and Queues

Build Stacks and Queues

Lesson 4

Recursion

Apply Recursion to Problems

Lesson 5

Trees

Learn about basic tree's, tree traversal and binary search trees.

Lesson 6

Maps and Hashing

Explore the concepts of maps and hashes.

Lesson 7 • Project

Show Me the Data Structures

Solve a series of open-ended practice problems. Hone your skills to identify and implement appropriate data structures and corresponding methods that meet given constraints.

Course 3 4 weeks

Basic Algorithms

Learn about the basic algorithms used in programming.

Lesson 1

Basic Algorithms

Start out with some elementary algorithms such as binary search, tries, heaps and more.

Lesson 2

Sorting Algorithms

Learn about the most common sorting algorithms.

Lesson 3

Faster Divide & Conquer Algorithms

Go deeper into algorithms with faster divide and conquer algorithms.

Lesson 4 • Project

Problems vs. Algorithms

A series of real-world open ended problems which train you to apply suitable data structures and algorithms under different context.

Course 4 4 weeks

Advanced Algorithms

Learn about the basic algorithms used in programming.

Lesson 1

Greedy Algorithms

Get familiar with and practice greedy algorithms.

Lesson 2

Graph Algorithms

Learn about the many aspects of graph algorithms!

Lesson 3

Dynamic Programming

Learn about dynamic programming and apply your learnings to challenging exercises.

Lesson 4

A*

Lesson 5 • Project

Route Planner

In this project, you will build a route-planning algorithm like the one used in Google Maps to calculate the shortest path between two points on a map.

Taught By The Best

Photo of Kyle Stewart-Franz

Kyle Stewart-Franz

Content Developer

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.

Photo of  Abe Feinberg

Abe Feinberg

Content Developer

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.

Photo of Brynn Claypoole

Brynn Claypoole

Instructor

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.

Ratings & Reviews

Average Rating: 4.7 Stars

498 Reviews

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