Data Structures & Algorithms

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Introduction

Welcome to the Data Structures and Algorithms nanodegree program!

Python Refresher

A quick refresh on Python basics!

How to Solve Problems

A systematic way of approaching and breaking down problems.

Efficiency

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

Unscramble Computer Science Problems

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

Introduction to Data Structures

Introduction to the Data Structures course.

Arrays and Linked Lists

Learn about Arrays and Linked Lists

Stacks and Queues

Build Stacks and Queues

Recursion

Apply Recursion to Problems

Trees

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

Maps and Hashing

Explore the concepts of maps and hashes.

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.

Basic Algorithms

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

Sorting Algorithms

Learn about the most common sorting algorithms.

Faster Divide & Conquer Algorithms

Go deeper into algorithms with faster divide and conquer algorithms.

Problems vs. Algorithms

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

Greedy Algorithms

Get familiar with and practice greedy algorithms.

Graph Algorithms

Learn about the many aspects of graph algorithms!

Dynamic Programming

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

A*

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.

Why Python Programming

Welcome to Introduction to Python! Here's an overview of the course.

Data Types and Operators

Familiarize yourself with the building blocks of Python! Learn about data types and operators, built-in functions, type conversion, whitespace, and style guidelines.

Data Structures in Python

Use data structures to order and group different data types together! Learn about the types of data structures in Python, along with more useful built-in functions and operators.

Control Flow

Build logic into your code with control flow tools! Learn about conditional statements, repeating code with loops and useful built-in functions, and list comprehensions.

Functions

Learn how to use functions to improve and reuse your code! Learn about functions, variable scope, documentation, lambda expressions, iterators, and generators.

Scripting

Set up your own programming environment to write and run Python scripts locally! Learn good scripting practices, interact with different inputs, and discover awesome tools.

NumPy

Learn the basics of NumPy and how to use it to create and manipulate arrays.

Pandas

Learn the basics of Pandas Series and DataFrames and how to use them to load and process data.

Advanced Topics

In this lesson we cover some advanced topics of iterators and generators. You are not required to complete this but we have provided these to give you a taste of these.

Industry Research

You're building your online presence. Now learn how to share your story, understand the tech landscape better, and meet industry professionals.

Take 30 Min to Improve your LinkedIn

Find your next job or connect with industry peers on LinkedIn. Ensure your profile attracts relevant leads that will grow your professional network.

Optimize Your GitHub Profile

Other professionals are collaborating on GitHub and growing their network. Submit your profile to ensure your profile is on par with leaders in your field.

Technical Interview - Python

Practice with five technical interviewing questions on topics discussed in the data structures and algorithms course and get a personalized review on both your code and solutions.